Publications

*Asterisk is used to identify Highly Qualified Personnel who are co-authors and were under the supervision of myself and/or collaborators

Author names with junior researchers first and supervisors after in most cases

Books

1. Intelligent Internet of Things for Healthcare and Industry. Editors: Uttam Ghosh, Chinmay Chakraborty, Lalit Garg, and Gautam Srivastava. Springer, Cham, 2021. https://doi.org/10.1007/978-3-030-81473-1
2. Internet of Multimedia Things (IoMT): Techniques and Applications. Editors: Shailendra Shukla, Amit Singh, Gautam Srivastava. Elsevier, 2022. Paperback ISBN: 9780323858458.

Journal Publications

1. Gautam Srivastava, Jerry Chun-Wei Lin, Guo Lin, Secure Itemset Hiding in Smart City Sensor Data, Cluster Computing, 2023.
2. Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava, and Unil Yun. 2023. Semi-Supervised Lexicon-Aware Embedding for News Article Time Estimation. ACM Trans. Asian Low-Resour. Lang. Inf. Process. Just Accepted (April 2023). https://doi.org/10.1145/3592604
3. Shuai Liu, Yang Zhang & Gautam Srivastava (2023) Point-supervised temporal action localisation based on multi-branch attention, Enterprise Information Systems, DOI:10.1080/17517575.2023.2197318
4. J. -H. Syu, J. C. -W. Lin and G. Srivastava, AI-Based Electricity Grid Management for Sustainability, Reliability, and Security, in IEEE Consumer Electronics Magazine, doi: 10.1109/MCE.2023.3264884.
5. Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava, Multivariate time-series sensor vital sign forecasting of cardiovascular and chronic respiratory diseases, Sustainable Computing: Informatics and Systems, 2023. https://doi.org/10.1016/j.suscom.2023.100868
6. Singhal, Saurabh, Senthil Athithan, Madani Abdu Alomar, Rakesh Kumar, Bhisham Sharma, Gautam Srivastava, and Jerry Chun-Wei Lin. 2023. Energy Aware Load Balancing Framework for Smart Grid Using Cloud and Fog Computing. Sensors 23, no. 7: 3488. https://doi.org/10.3390/s23073488
7. Jimmy Ming-Tai Wu, Huiying Zhou, Jerry Chun-Wei Lin, Gautam Srivastava, Mohamed Baza. Mining Skyline Patterns from a Big Data Environment Based on Spark Framework, Journal of Grid Computing, 2023.
8. S. Rani, H. Babbar, G. Srivastava, T. R. Gadekallu and G. Dhiman, Security Framework for Internet of Things based Software Defined Networks using Blockchain, in IEEE Internet of Things Journal, vol. 10, no. 7, pp. 6074-6081, 1 April1, 2023, doi: 10.1109/JIOT.2022.3223576.
9. Shitharth Selvarajan, Gautam Srivastava, Alaa O. Khadidos, Adil O. Khadidos, Mohamed Baza, Ali Alshehri, and Jerry Chun-Wei Lin. An artificial intelligence lightweight blockchain security model for security and privacy in IIoT systems, Journal of Cloud Computing (2023) 12:38, https://doi.org/10.1186/s13677-023-00412-y.
10. Farhan Ullah, Shamsher Ullah, Gautam Srivastava, Jerry Chun-Wei Lin. IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic. Digital Communications and Networks, 2023.
11. Nizamud Din, Abdul Waheed, Shamsher Ullah, Noor Ul Amin, Gautam Srivastava, Farhan Ullah, Jerry Chun-Wei Lin. A typology of secure multicast communication over 5 G/6 G networks. International Journal of Information Security, https://doi.org/10.1007/s10207-023-00678-y.
12. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Jerry Chun-Wei Lin, Anis Yazidi, Interpretable intrusion detection for next generation of Internet of Things, Computer Communications, 2023, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2023.03.005.
13. U. Ahmed, J. C. -W. Lin and G. Srivastava, Semisupervised Federated Learning for Temporal News Hyperpatism Detection, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2023.3247602.
14. Chun-Hao Chen, Cheng-Yu Lu, Rui-Dong Chiang, Gautam Srivastava & Jerry Chun-Wei Lin (2023): An evolutionary-based approach for optimising diverse group stock portfolio with active and inactive stocks, Enterprise Information Systems, DOI: 10.1080/17517575.2023.2180328
15. Jia-Hao Syu, Gautam Srivastava, Marcin Fojcik, Rafał Cupek, Jerry Chun-Wei Lin, Energy grid management system with anomaly detection and Q-learning decision modules, Computers and Electrical Engineering, Volume 107, 2023, 108639, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2023.108639.
16. Kumar, Balraj, Neeraj Sharma, Bhisham Sharma, Norbert Herencsar, and Gautam Srivastava. 2023. Hybrid Recommendation Network Model with a Synthesis of Social Matrix Factorization and Link Probability Functions, Sensors 23, no. 5: 2495. https://doi.org/10.3390/s23052495
17. Y. Djenouri, A. Yazidi, G. Srivastava and J. C. -W. Lin, Blockchain: Applications, Challenges, and Opportunities in Consumer Electronics, in IEEE Consumer Electronics Magazine, doi: 10.1109/MCE.2023.3247911.
18. Guan, T., Srivastava, G. A multi-frequency communication routing protocol for mobile devices in the Internet of Things. Wireless Networks (2023). https://doi.org/10.1007/s11276-023-03244-5
19. Youcef Djenouri, Asma Belhadi, Djamel Djenouri, Gautam Srivastava, and Jerry Chun-Wei Lin. A Secure Intelligent System for Internet of Vehicles: Case Study on Traffic Forecasting. IEEE Transactions on Intelligent Transportation Systems, 2023.
20. Denghui Zhang, Muhammad Shafiq, Liguo Wang, Gautam Srivastava, Shoulin Yin, Privacy-preserving remote sensing images recognition based on limited visual cryptography. CAAI Trans. Intell. Technol. 1– 12 (2023). https://doi.org/10.1049/cit2.12164
21. Rehan M, Javed AR, Kryvinska N, Gadekallu TR, Srivastava G, Jalil Z. Supply Chain Management Using an Industrial Internet of Things Hyperledger Fabric Network. Human-centric Computing and Information Sciences (2023) 13:04.
22. Hasanin T, Manoharan H, Alterazi HA, Srivastava G, Selvarajan S and Lin JC-W (2023) Mathematical approach of fiber optics for renewable energy sources using general adversarial networks. Front. Ecol. Evol. 11:1132678. doi: 10.3389/fevo.2023.1132678
23. Rizvi, Tanu, Satya Prakash Dubey, Nagendra Tripathi, Gautam Srivastava, Satya Prakash Makhija, and Md. Khaja Mohiddin. 2023. FSPV-Grid System for an Industrial Subsection with PV Price Sensitivity Analysis. Sustainability 15, no. 3: 2495. https://doi.org/10.3390/su15032495
24. Usman Ahmed, Jerry Chun-Wei Lin, and Gautam Srivastava. 2023. Emotional Intelligence Attention Unsupervised Learning Using Lexicon Analysis for Irony Based Advertising. ACM Trans. Asian Low-Resour. Lang. Inf. Process. Just Accepted (January 2023). https://doi.org/10.1145/3580496
25. Asma Belhadi, Youcef Djenouri, Gautam Srivastava, and Jerry Chun-Wei Lin. 2023. Fast and Accurate Framework for Ontology Matching in Web of Things. ACM Trans. Asian Low-Resour. Lang. Inf. Process. Just Accepted (January 2023). https://doi.org/10.1145/3578708
26. Malvinder Singh Bali, Kamali Gupta, Deepali Gupta, Gautam Srivastava, Sapna Juneja, Ali Nauman, An effective Technique to Schedule priority aware tasks to offload data at edge and cloud servers, Measurement: Sensors, 2023, 100670, ISSN 2665-9174, https://doi.org/10.1016/j.measen.2023.100670.
27. Alshehri, Ali, Mohamed Baza, Gautam Srivastava, Wahid Rajeh, Majed Alrowaily, and Majed Almusali. 2023. Privacy-Preserving E-Voting System Supporting Score Voting Using Blockchain. Applied Sciences 13, no. 2: 1096. https://doi.org/10.3390/app13021096
28. Dan Ren, Gautam Srivastava. A Novel Natural Language Processing Model in Mobile Communication Networks, Mobile Networks and Applications, 2023, https://doi.org/10.1007/s11036-022-02072-9
29. Nagasree, Yarajarla, Chiramdasu Rupa, Ponugumati Akshitha, Gautam Srivastava, Thippa Reddy Gadekallu, and Kuruva Lakshmanna. 2023. Preserving Privacy of Classified Authentic Satellite Lane Imagery Using Proxy Re-Encryption and UAV Technologies. Drones 7, no. 1: 53. https://doi.org/10.3390/drones7010053
30. Das Mou, Trisha, Saadia Binte Alam, Md. Hasibur Rahman, Gautam Srivastava, Mahady Hasan, and Mohammad Faisal Uddin. 2023. Multi-Range Sequential Learning Based Dark Image Enhancement with Color Upgradation. Applied Sciences 13, no. 2: 1034. https://doi.org/10.3390/app13021034
31. Belhadi A, Holland J-O, Yazidi A, Srivastava G, Lin JC-W and Djenouri Y (2023), BIoMT-ISeg: Blockchain internet of medical things for intelligent segmentation. Front. Physiol. 13:1097204. doi: 10.3389/fphys.2022.1097204
32. Neelam Singh, Yaseer Hamid, Sapna Juneja, Gautam Srivastava, Gaurav Dhiman, Thippa Reddy Gadekallu, Mohd Asif Sha. Load balancing and service discovery using Docker Swarm for microservice based big data applications. J Cloud Comp 12, 4 (2023). https://doi.org/10.1186/s13677-022-00358-7
33. Selvaraj, Prabha, Vijay Kumar Burugari, S. Gopikrishnan, Abdullah Alourani, Gautam Srivastava, and Mohamed Baza. 2023. An Enhanced and Secure Trust-Aware Improved GSO for Encrypted Data Sharing in the Internet of Things. Applied Sciences 13, no. 2: 831. https://doi.org/10.3390/app13020831
34. Ashutosh Dhar Dwivedi, and Gautam Srivastava. Security analysis of lightweight IoT encryption algorithms: SIMON and SIMECK, Internet of Things, 2023.
35. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, and Jerry Chun-Wei Lin. A Secure Parallel Pattern Mining System for Medical Internet of Things. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023
36. Taushif Anwar, V. Uma, and Gautam Srivastava, CDRec-CAS: Cross-Domain Recommendation Using Context-Aware Sequences, IEEE Transactions on Computational Social Systems, 2023.
37. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, and Jerry Chun-Wei Lin. Advanced Pattern-Mining System for Fake News Analysis, IEEE Transactions on Computational Social Systems, 2023.
38. Kadiyala Ramana, Gautam Srivastava, Madapuri Rudra Kumar, Thippa Reddy Gadekallu, Jerry Chun-Wei Lin, Mamoun Alazab, and Celestine Iwendi. A Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas, in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 4, pp. 3922-3934, April 2023, doi: 10.1109/TITS.2022.3233801.
39. R. Singh, A. D. Dwivedi, G. Srivastava, P. Chatterjee and J. C. -W. Lin, A Privacy Preserving Internet of Things Smart Healthcare Financial System, in IEEE Internet of Things Journal, 2023, doi: 10.1109/JIOT.2022.3233783.
40. A. Ranjha, M. A. Javed, G. Srivastava and J. C. -W. Lin, Intercell Interference Coordination for UAV enabled URLLC with perfect/imperfect CSI using cognitive radio, in IEEE Open Journal of the Communications Society, doi: 10.1109/OJCOMS.2022.3232888.
41. Sharnil Pandya, Gautam Srivastava, Rutvij Jhaveri, M. Rajasekhara Babu, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Spyridon Mastorakis, Md. Jalil Piran, Thippa Reddy Gadekallu, Federated learning for smart cities: A comprehensive survey, Sustainable Energy Technologies and Assessments, Volume 55, 2023, 102987, ISSN 2213-1388, https://doi.org/10.1016/j.seta.2022.102987.
42. Chien-Ming Chen, Zhen Li, Saru Kumari, Gautam Srivastava, Kuruva Lakshmanna, Thippa Reddy Gadekallu, A provably secure key transfer protocol for the fog-enabled Social Internet of Vehicles based on a confidential computing environment, Vehicular Communications, 2022, 100567, ISSN 2214-2096, https://doi.org/10.1016/j.vehcom.2022.100567.
43. Farhan Ullah, Shamsher Ullah, Gautam Srivastava, Jerry Chun-Wei Lin, Droid-MCFG: Android malware detection system using manifest and control flow traces with multi-head temporal convolutional network, Physical Communication, Volume 57, 2023, 101975, ISSN 1874-4907, https://doi.org/10.1016/j.phycom.2022.101975.
44. Rajan, D., Eswaran, P., Srivastava, G., Ramana, K., & Iwendi, C. (2022). Blockchain-based multi-layered federated extreme learning networks in connected vehicles. Expert Systems, e13222. https://doi.org/10.1111/exsy.13222
45. Shalli Rani, Divya Gupta, Norbert Herencsar, Gautam Srivastava, Blockchain-enabled cooperative computing strategy for resource sharing in fog networks, Internet of Things, 2022, 100672, ISSN 2542-6605, https://doi.org/10.1016/j.iot.2022.100672.
46. Usman Ahmed, Jerry Chun-Wei Lin, and Gautam Srivastava. 2022. Graph Attention Network for Text Classification and Detection of Mental Disorder. ACM Transactions on the Web. Just Accepted (December 2022). https://doi.org/10.1145/3572406
47. Khan, Yusera Farooq, Baijnath Kaushik, Chiranji Lal Chowdhary, and Gautam Srivastava. 2022. Ensemble Model for Diagnostic Classification of Alzheimer’s Disease Based on Brain Anatomical Magnetic Resonance Imaging, Diagnostics 12, no. 12: 3193. https://doi.org/10.3390/diagnostics12123193
48. U. Ahmed, J. C. -W. Lin, G. Srivastava and A. Jolfaei, Active Learning Based Adversary Evasion Attacks Defense for Malwares in the Internet of Things, in IEEE Systems Journal, doi: 10.1109/JSYST.2022.3223694.
49. Pradhan, B., Hussain, M.W., Srivastava, G., Debbarma, M.K., Barik, R.K., Lin, J.C.-W.: A neuro-evolutionary approach for software defined wireless network traffic classification. IET Commun. 00, 1– 8 (2022). https://doi.org/10.1049/cmu2.12548
50. P. Keerthi Chandrika, M. S. Mekala, Gautam Srivastava. Edge resource slicing approaches for latency optimization in AI-edge orchestration. Cluster Computing, 2022. https://doi.org/10.1007/s10586-022-03817-7
51. Ahmed, U., Lin, J. C.-W., & Srivastava, G. (2022). Temporal positional lexicon expansion for federated learning based on hyperpatism detection. Expert Systems, e13183. https://doi.org/10.1111/exsy.13183
52. Gautam Srivastava, V. Kavitha, M. Vimaladevi, N. Parthiban, The hydrological impact of tropical cyclones on soil moisture using a sensor based hybrid deep learning model, Acta Geophysica, 2022, Pages 1-19, https://doi.org/10.1007/s11600-022-00942-0
53. Mirza, Olfat M., Hana Mujlid, Hariprasath Manoharan, Shitharth Selvarajan, Gautam Srivastava, and Muhammad Attique Khan. 2022. Mathematical Framework for Wearable Devices in the Internet of Things Using Deep Learning, Diagnostics 12, no. 11: 2750. https://doi.org/10.3390/diagnostics12112750
54. Abbas Yazdinejad*, Ali Dehghantanha, Reza M. Parizi, Gautam Srivastava, Hadis Karimipour, Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks, Computers in Industry, Volume 144, 2023, 103801, ISSN 0166-3615, https://doi.org/10.1016/j.compind.2022.103801.
55. Fawad Ahmed, Muneeb Ur Rehman, Jawad Ahmad, Muhammad Shahbaz Khan, Wadii Boulila, Gautam Srivastava, Jerry Chun-Wei Lin, and William J. Buchanan. 2022. A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder. ACM Trans. Multimedia Comput. Commun. Appl. Just Accepted (November 2022). https://doi.org/10.1145/3570165
56. Ullah, F., Srivastava, G. & Ullah, S. A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization. J Cloud Comp 11, 75 (2022). https://doi.org/10.1186/s13677-022-00349-8
57. Asma Belhadi, Youcef Djenouri, Djamel Djenouri, Gautam Srivastava, Jerry Chun-Wei Lin. Group intrusion detection in the Internet of Things using a hybrid recurrent neural network. Cluster Computing, 2022. https://doi.org/10.1007/s10586-022-03779-w
58. Garg, Kamal Deep, Shashi Shekhar, Ajit Kumar, Vishal Goyal, Bhisham Sharma, Rajeswari Chengoden, and Gautam Srivastava. 2022. Framework for Handling Rare Word Problems in Neural Machine Translation System Using Multi-Word Expressions, Applied Sciences 12, no. 21: 11038. https://doi.org/10.3390/app122111038
59. Kumar, Mukesh, Saurabh Singhal, Shashi Shekhar, Bhisham Sharma, and Gautam Srivastava. 2022. Optimized Stacking Ensemble Learning Model for Breast Cancer Detection and Classification Using Machine Learning, Sustainability 14, no. 21: 13998. https://doi.org/10.3390/su142113998
60. Y. Djenouri, A. Belhadi, E. H. Houssein, G. Srivastava and J. C. -W. Lin, Intelligent Graph Convolutional Neural Network for Road Crack Detection, in IEEE Transactions on Intelligent Transportation Systems, 2022, doi: 10.1109/TITS.2022.3215538.
61. Jia-Hao Syu, Jerry Chun-Wei Lin, Gautam Srivastava, Call Auction-Based Energy Management System with Adaptive Subsidy and Dynamic Operating Reserve, Sustainable Computing: Informatics and Systems, Volume 36, 2022, 100786, ISSN 2210-5379, https://doi.org/10.1016/j.suscom.2022.100786.
62. U. Ahmed, J. C. -W. Lin, G. Srivastava and U. Yun, Enhancing Stock Portfolios for Enterprise Management and Investment in Energy Industry, in IEEE Transactions on Industrial Informatics, 2022, doi: 10.1109/TII.2022.3214518.
63. Saikumar K., Rajesh V., Srivastava Gautam, Lin Jerry Chun-Wei. Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network, Frontiers in Computational Neuroscience, Vol 16, 2022, DOI=10.3389/fncom.2022.964686
64. Seifedine Kadry, Gautam Srivastava, Venkatesh Rajinikanth, Seungmin Rho, Yongsun Kim, Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features, 9263379, 2022, 1687-5265, https://doi.org/10.1155/2022/9263379
65. Poonam Chaudhary, Yash Vardhan Varshney, Gautam Srivastava, Surbhi Bhatia. Motor imagery classification using sparse nonnegative matrix factorization and convolutional neural networks. Neural Computing and Applications, 2022, https://doi.org/10.1007/s00521-022-07861-7
66. U. Ahmed*, J. C. -W. Lin and G. Srivastava, Feedback Learning in Software-Defined Mobile Network for Resource Aware Load Balancing Under Fault Tolerance Conditions, in IEEE Instrumentation & Measurement Magazine, vol. 25, no. 7, pp. 32-37, October 2022, doi: 10.1109/MIM.2022.9908266.
67. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Jerry Chun-Wei Lin, Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting, Future Generation Computer Systems, Volume 139, 2023, Pages 100-108, ISSN 0167-739X, https://doi.org/10.1016/j.future.2022.09.018.
68. Abbas Yazdinejad*, Behrouz Zolfaghari, Ali Dehghantanha, Hadis Karimipour, Gautam Srivastava, Reza M. Parizi, Accurate threat hunting in industrial internet of things edge devices, Digital Communications and Networks, 2022, ISSN 2352-8648, https://doi.org/10.1016/j.dcan.2022.09.010.
69. Kazi Zainab*, Gautam Srivastava, and Vijay Mago. Identifying health related occupations of Twitter users through word embedding and deep neural networks. BMC Bioinformatics. 2022. https://doi.org/10.1186/s12859-022-04933-2
70. Pratyusa Mukherjee, Hitendra Garg, Chittaranjan Pradhan, Soumik Ghosh, Subrata Chowdhury, and Gautam Srivastava. 2022. Best Fit DNA-Based Cryptographic Keys: The Genetic Algorithm Approach Sensors 22, no. 19: 7332. https://doi.org/10.3390/s22197332
71. Fazlullah Khan, Ryan Alturki, Gautam Srivastava, Foziah Gazzawe, Syed Tauhid Ullah Shah, and Spyridon Mastorakis, Explainable Detection of Fake News on Social Media Using Pyramidal Co-Attention Network, in IEEE Transactions on Computational Social Systems, 2022, doi: 10.1109/TCSS.2022.3207993..
72. Ch, Rupa, Gautam Srivastava, Yarajarla Lakshmi Venkata Nagasree, Akshitha Ponugumati, and Sitharthan Ramachandran. 2022. Robust Cyber-Physical System Enabled Smart Healthcare Unit Using Blockchain Technology, Electronics 11, no. 19: 3070. https://doi.org/10.3390/electronics11193070
73. Katarzyna Prokop, Dawid Połap, Gautam Srivastava, Jerry Chun-Wei Lin. Blockchain-based federated learning with checksums to increase security in Internet of Things solutions. J Ambient Intell Human Comput (2022). https://doi.org/10.1007/s12652-022-04372-0
74. Thirumalaisamy, Manikandan, Shajahan Basheer, Shitharth Selvarajan, Sara A. Althubiti, Fayadh Alenezi, Gautam Srivastava, and Jerry Chun-Wei Lin. 2022. Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation, Sensors 22, no. 19: 7169. https://doi.org/10.3390/s22197169
75. Mohamed Baza, Amar Rasheed, Abdullah Alourani, Gautam Srivastava, Hani Alshahrani, Ali Alshehri, Privacy-preserving Blockchain-assisted private-parking scheme with efficient matching, Computers and Electrical Engineering, Volume 103, 2022, 108340, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.108340.
76. Wu JM, Srivastava G, Lin JC, Djenouri Y, Wei M, Parizi RM, Khan MS. Mining of high-utility patterns in big IoT-based databases. Mobile Networks and Applications. 2021 Feb;26(1):216-33.
77. Gupta KD, Sharma DK, Dwivedi R, Srivastava G. AHDNN: Attention enabled Hierarchical Deep Neural Network Framework for Enhancing Security of Connected and Autonomous Vehicles. Journal of Circuits, Systems and Computers. 2022 Aug 24.
78. Wu, Jimmy Ming-Tai and Lingyun Sun, Gautam Srivastava, Vicente Garcia Diaz, and Jerry Chun-Wei Lin. A Stock Trading Expert System Established by the CNN-GA-Based Collaborative System, International Journal of Data Warehousing and Mining (IJDWM) 18, no.1: 1-19. http://doi.org/10.4018/IJDWM.309957
79. U. Ahmed*, J. C. -W. Lin and G. Srivastava, Multi-Aspect Deep Active Attention Network for Healthcare Explainable Adoption, in IEEE Journal of Biomedical and Health Informatics, 2022, vol. 27, no. 4, pp. 1709-1717, April 2023, doi: 10.1109/JBHI.2022.3204633.
80. Youcef Djenouri, Asma Belhadi, Anis Yazidi, Gautam Srivastava, Pushpita Chatterjee, and Jerry Chun-Wei Lin. An Intelligent Collaborative Image-Sensing System for Disease Detection, IEEE Sensors Journal, vol. 23, no. 2, pp. 947-954, 15 Jan.15, 2023, doi: 10.1109/JSEN.2022.3202437.
81. Seyedamin Pouriyeh, Osama Shahid, Reza M. Parizi, Quan Z. Sheng, Gautam Srivastava, Liang Zhao, and Mohammad Nasajpour. Secure Smart Communication Efficiency in Federated Learning: Achievements and Challenges, Applied Sciences, 2022.
82. Deepak Kumar Sharma, Jahanavi Mishra, Aeshit Singh, Raghav Govil, Gautam Srivastava, Jerry Chun-Wei Lin. Explainable Artificial Intelligence for Cybersecurity, Computers and Electrical Engineering, 2022.
83. Jabbar El-Gburi, Gautam Srivastava, Senthilkumar Mohan (2022) Secure voting system for election, Int. J. Computer Aided Engineering and Technology, Vol. 16, No. 4, pp. 497-511.
84. Sugandha Rathi*, Renuka Nagpal, Deepti Mehrotra, and Gautam Srivastava. A metric focused performance assessment of fog computing environments: A critical review. Computers and Electrical Engineering, 2022.
85. Feng Ding, Bing Fan, Zhangyi Shen, Keping Yu, Gautam Srivastava, Kapal Dev, and Shaohua Wan, Securing Facial Bioinformation by Eliminating Adversarial Perturbations, IEEE Transactions on Industrial Informatics, 2022.
86. Praphula Kumar Jain, Gautam Srivastava, Jerry Chun-Wei Lin, Rajendra Pamula. Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews, IEEE Transactions on Computational Social Systems, 2022.
87. Ying Song and Gautam Srivastava, Remote Sports Injury Monitoring using Wireless Sensor Networks, Mobile Networks and Applications, 2022. https://doi.org/10.1007/s11036-022-02028-z
88. Javed, L., Anjum, A., Yakubu, B. M., Iqbal, M., Moqurrab, S. A., & Srivastava, G. (2022). ShareChain: Blockchain-enabled model for sharing patient data using federated learning and differential privacy. Expert Systems, e13131. https://doi.org/10.1111/exsy.13131
89. U. Ahmed*, J. C. -W. Lin and G. Srivastava, Privacy-Preserving Active Learning on the Internet of 5G Connected Artificial Intelligence of Things, in IEEE Internet of Things Magazine, vol. 5, no. 1, pp. 126-129, March 2022, doi: 10.1109/IOTM.001.2100205.
90. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Jerry Chun-Wei Lin. When explainable AI meets IoT applications for supervised learning, Cluster Computing, 2022. https://doi.org/10.1007/s10586-022-03659-3.
91. Alterazi, Hassan A., Pravin R. Kshirsagar, Hariprasath Manoharan, Shitharth Selvarajan, Nawaf Alhebaishi, Gautam Srivastava, and Jerry Chun-Wei Lin. 2022. Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization, Sensors 22, no. 16: 6117. https://doi.org/10.3390/s22166117
92. U. Ahmed*, J. C. -W. Lin and G. Srivastava, Deep Fuzzy Contrast-Set Deviation Point Representation and Trajectory Detection, in IEEE Transactions on Fuzzy Systems, 2022, doi: 10.1109/TFUZZ.2022.3197876.
93. Usman Ahmed*, Rutvij H. Jhaveri, Gautam Srivastava, and Jerry Chun-Wei Lin. 2022. Explainable Deep Attention Active Learning for Sentimental Analytics of Mental Disorder. ACM Trans. Asian Low-Resour. Lang. Inf. Process. 00, JA, Article 00 (August 2022), 21 pages. https://doi.org/10.1145/3551890
94. Chien-Fu Cheng, Chu-Chiao Hsu, Meng-Shiuan Pan, Gautam Srivastava, Jerry Chun-Wei Lin, A cluster-based barrier construction algorithm in mobile Wireless Sensor Networks, Physical Communication, 2022, 101839, ISSN 1874-4907, https://doi.org/10.1016/j.phycom.2022.101839.
95. Saif U.R. Malik, Adeel Anjum, Syed Atif Moqurrab*, Gautam Srivastava, Towards enhanced threat modelling and analysis using a Markov Decision Process, Computer Communications, Volume 194, 2022, Pages 282-291, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2022.07.038.
96. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Jerry Chun-Wei Lin, Deep learning based hashtag recommendation system for multimedia data, Information Sciences, Volume 609, 2022, Pages 1506-1517, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2022.07.132.
97. Usman Ahmed*, Jerry Chun-Wei Lin, and Gautam Srivastava. Multi-aspect detection and classification with multi-feed dynamic frame skipping in vehicle of internet things. Wireless Networks, 2022.
98. Belhadi, A., Djenouri, Y., Srivastava, G. et al. SS-ITS: secure scalable intelligent transportation systems. J Supercomput 77, 7253–7269 (2021). https://doi.org/10.1007/s11227-020-03582-7
99. Usman Ahmed*, Rutvij H. Jhaveri, Gautam Srivastava, and Jerry Chun-Wei Lin. 2022. Explainable Deep Attention Active Learning for Sentimental Analytics of Mental Disorder. ACM Trans. Asian Low-Resour. Lang. Inf. Process. Just Accepted (July 2022). https://doi.org/10.1145/3551890
100. Umer Arshad, Muhammad Aleem, Gautam Srivastava, Jerry Chun-Wei Lin, Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers, Renewable and Sustainable Energy Reviews, Volume 167, 2022, 112782, ISSN 1364-0321, https://doi.org/10.1016/j.rser.2022.112782.
101. Riman Mandal, Manash Kumar Mondal, Sourav Banerjee, Gautam Srivastava, Waleed Alnumay, Uttam Ghosh, Utpal Biswas. MECpVmS: an SLA aware energy-efficient virtual machine selection policy for green cloud computing, Cluster Computing, 2022.
102. U. Ahmed, J. C. -W. Lin and G. Srivastava, Efficient Multimedia Frame-Skipping Architecture Using Deep Learning in Vehicular Networks, in IEEE MultiMedia, vol. 29, no. 2, pp. 66-73, 1 April-June 2022, doi: 10.1109/MMUL.2022.3156032.
103. M.S. Mekala, Gautam Srivastava, Ju H. Park, and Ho-Youl Jung. An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT. Digital Communications and Networks, 2022, ISSN 2352-8648, https://doi.org/10.1016/j.dcan.2022.07.004.
104. Dehu Yu, Qing Lv, Gautam Srivastava, Chun-Hao Chen, and Jerry Lin. Multiobjective Evolutionary Model of the Construction Industry Based on Network Planning. IEEE Transactions on Industrial Informatics. 2022.
105. Usman Ahmed, Jerry Lin, and Gautam Srivastava. Mitigating adversarial evasion attacks by deep active learning for medical image classification. Multimedia Tools and Applications, 2022, DOI: 10.1007/s11042-021-11473-z
106. Adeel Rafiq, Saad Rehman, Rupert Young, Wang-Cheol Song, Muhammad Khan, Seifedine Kadry, and Gautam Srivastava. Knowledge defined networks on the edge for service function chaining and reactive traffic steering. Cluster Computing (2022). https://doi.org/10.1007/s10586-022-03660-w
107. M. J. Iqbal, S. Aurangzeb, M. Aleem, G. Srivastava and J. C. -W. Lin, RThreatDroid: A Ransomware Detection Approach to Secure IoT Based Healthcare Systems, in IEEE Transactions on Network Science and Engineering, 2022, doi: 10.1109/TNSE.2022.3188597.
108. Jerry Chun-Wei Lin, Qing Lv, Dehu Yu, Gautam Srivastava, Chun-Hao Chen, Optimized scheduling of resource-constraints in projects for smart construction, Information Processing & Management, Volume 59, Issue 5, 2022, 103005, ISSN 0306-4573, https://doi.org/10.1016/j.ipm.2022.103005.
109. Djenouri, Y., Belhadi, A., Yazidi, A., Srivastava, G., & Lin, J. C.-W. (2022). Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism. Expert Systems, e13093. https://doi.org/10.1111/exsy.13093
110. U. Ahmed, J. C. -W. Lin and G. Srivastava, A Network-Aware Load Balancer by using Feedback Learning, in IEEE Consumer Electronics Magazine, 2022, doi: 10.1109/MCE.2022.3181760.
111. U. Ahmed, J. C. -W. Lin and G. Srivastava, Social Media Multiaspect Detection by Using Unsupervised Deep Active Attention, in IEEE Transactions on Computational Social Systems, 2022, doi: 10.1109/TCSS.2022.3183283.
112. Kshirsagar, Pravin R., Hariprasath Manoharan, Shitharth Selvarajan, Sara A. Althubiti, Fayadh Alenezi, Gautam Srivastava, and Jerry Chun-Wei Lin. 2022. A Radical Safety Measure for Identifying Environmental Changes Using Machine Learning Algorithms. Electronics 11, no. 13: 1950. https://doi.org/10.3390/electronics11131950
113. U. Ahmed, J. C. -W. Lin and G. Srivastava, A Network-Aware Load Balancer by using Feedback Learning, in IEEE Consumer Electronics Magazine, 2022, doi: 10.1109/MCE.2022.3181760.
114. Usman Ahmed, Jerry Chun-Wei Lin, and Gautam Srivastava. 2022. Heterogeneous Energy-aware Load Balancing for Industry 4.0 and IoT Environments. ACM Trans. Manage. Inf. Syst. Just Accepted (June 2022). https://doi.org/10.1145/3543859
115. S. A. Moqurrab, A. Anjum, N. Tariq and G. Srivastava, Instant_Anonymity: A Lightweight Semantic Privacy Guarantee for 5G-enabled IIoT, in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2022.3179536.
116. Mekala, M.S., Srivastava, G., Lin, J.CW. et al. An efficient quantum based D2D computation and communication approach for the Internet of Things. Opt Quant Electron 54, 359 (2022). https://doi.org/10.1007/s11082-022-03649-0.
117. U. Ahmed, J. C. -W. Lin and G. Srivastava, Privacy-Preserving Active Learning on the Internet of 5G Connected Artificial Intelligence of Things, in IEEE Internet of Things Magazine, vol. 5, no. 1, pp. 126-129, March 2022, doi: 10.1109/IOTM.001.2100205.
118. Y. Djenouri, A. Belhadi, G. Srivastava and J. C. -W. Lin, Toward a Cognitive-Inspired Hashtag Recommendation for Twitter Data Analysis, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3169838.
119. Usman Ahmed, Jerry Chun-Wei Lin, and Gautam Srivastava. 2022. Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment. ACM Trans. Asian Low-Resour. Lang. Inf. Process. 21, 5, Article 87 (September 2022), 16 pages. https://doi.org/10.1145/3506701.
120. C. Rupa, M. Harshita, G. Srivastava, T. R. Gadekallu and P. K. R. Maddikunta, Securing Multimedia using a Deep Learning based Chaotic Logistic Map, in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2022.3178629.
121. YeEun Kim, Junggab Son, Reza M. Parizi, Gautam Srivastava, Heekuck Oh, 3-Multi ranked encryption with enhanced security in cloud computing, Digital Communications and Networks, 2022, ISSN 2352-8648, https://doi.org/10.1016/j.dcan.2022.05.021.
122. Jose Gomez, Elie F. Khoury, Jorge Crichigno, Gautam Srivastava, A survery on TCP Enhancements using P4-programming devices, Computer Networks, 2022.
123. R. F. Hayat, S. Aurangzeb, M. Aleem, G. Srivastava and J. C. -W. Lin, ML-DDoS: A Blockchain-Based Multilevel DDoS Mitigation Mechanism for IoT Environments, in IEEE Transactions on Engineering Management, doi: 10.1109/TEM.2022.3170519.
124. Rupa Ch., Srivastava Gautam, Ganji Bharath, Tatiparthi Sai Praveen, Maddala Karthik, Koppu Srinivas, Chun-Wei Lin Jerry, Medicine Drug Name Detection Based Object Recognition Using Augmented Reality, Frontiers in Public Health, 2022, DOI=10.3389/fpubh.2022.881701.
125. U. Ahmed, J. C. -W. Lin and G. Srivastava, Hyper-Graph Attention Based Federated Learning Method For Mental Health Detection, in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2022.3172269.
126. Sweta Bhattacharya, Rajeswari Chengoden, Gautam Srivastava, Mamoun Alazab, Abdul R. Javed, Nancy Victor, Praveen K.R. Maddikunta, and Thippa R. Gadekallu. 2022. Incentive Mechanisms for Smart Grid: State of the Art, Challenges, Open Issues, Future Directions, Big Data and Cognitive Computing 6, no. 2: 47. https://doi.org/10.3390/bdcc6020047
127. W. Wang, G. Srivastava, J. C. -W. Lin, Y. Yang, M. Alazab and T. R. Gadekallu, Data Freshness Optimization Under CAA in the UAV-Aided MECN: A Potential Game Perspective, in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3167485.
128. Syed Moqurrab, Adeel Anjum, Noshina Tariq, Gautam Srivastava. An efficient framework for semantically-correlated term detection and sanitization in clinical documents, Computers and Electrical Engineering, 2022.
129. S Gopikrishnan, Gautam Srivastava, P Priakanth, Improving sugarcane production in saline soils with Machine Learning and the Internet of Things, Sustainable Computing: Informatics and Systems, 2022, 100743, ISSN 2210-5379, https://doi.org/10.1016/j.suscom.2022.100743.
130. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Djamel Djenouri, Jerry Chun-Wei Lin,
     Vehicle detection using improved region convolution neural network for accident prevention in smart roads, Pattern Recognition Letters, Volume 158, 2022, Pages 42-47, ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2022.04.012.
131. A. Yazdinejad, A. Dehghantanha, R. M. Parizi, M. Hammoudeh, H. Karimipour and G. Srivastava, Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks, in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2022.3168011.
132. Usman Ahmed*, Jerry Chun-Wei Lin, Gautam Srivastava, Unil Yun, and Amit Kumar Singh, Deep Active Learning Intrusion Detection and Load Balancing in Software-Defined Networks, in IEEE Transactions on Intelligent Transportation Systems, 2022.
133. Tinhinane Mezair, Youcef Djenouri, Asma Belhadi, Gautam Srivastava, and Jerry Chun-Wei Lin. 2022. Towards an Advanced Deep Learning for the Internet of Behaviors: Application to Connected Vehicles. ACM Transactions on Sensor Networks 00, JA, Article 00 (April 2022), 18 pages. https://doi.org/10.1145/3526192
134. Jun-Yan Tong, Gautam Srivastava. A Decision-Making Method of Intelligent Distance Online Education Based on Cloud Computing, Mobile Networks and Applications, 2022. https://doi.org/10.1007/s11036-022-01945-3
135. M. S. Mekala, Gaurav Dhiman, Gautam Srivastava, Zulqar Nain, Haolin Zhang, Wattana Viriyasitavat, GPS Varma. A DRL-Based Service Offloading Approach Using DAG for Edge Computational Orchestration, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3161627.
136. U. Ahmed, J. C. -W. Lin, G. Srivastava, M. S. Mekala and H. -Y. Jung, Fuzzy Active Learning to Detect OpenCL Kernel Heterogeneous Machines in Cyber Physical Systems, in IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2022.3167158.
137. Y. Djenouri, G. Srivastava, D. Djenouri, A. Belhadi and J. C. -W. Lin, Hybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads, in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3165156.
138. A. Riyal, G. Kumar, D. K. Sharma, K. D. Gupta and G. Srivastava, Blockchain Tree Powered Green Communication for Efficient and Sustainable Connected Autonomous Vehicles, in IEEE Transactions on Green Communications and Networking, doi: 10.1109/TGCN.2022.3166104.
139. Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava, Mitigating adversarial evasion attacks of ransomware using ensemble learning, Computers and Electrical Engineering, Volume 100, 2022, 107903, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.107903.
140. Usman Ahmed*, Jerry Chun-Wei Lin, Gautam Srivastava. Ensemble-based deep meta learning for medical image segmentation, Journal of Intelligent & Fuzzy Systems, 2022. DOI:10.3233/JIFS-219221.
141. Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava, Hyper-graph-based Attention Curriculum Learning using a Lexical Algorithm for Mental Health, Pattern Recognition Letters, 2022, ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2022.03.018.
142. Jabbar El-Gburi, Gautam Srivastava, Senthilkumar Mohan (2022) Towards reliable electronic exam networks, Int. J. Computer Aided Engineering and Technology, Vol. 16, No. 3, pp.344–361.
143. Usman Ahmed, Jerry Chun-Wei Lin, and Gautam Srivastava. Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AioMT, ACM Transactions on Sensor Networks, 2022.
144. Renuka Nagpal, Deepti Mehrotra, Rajni Sehgal, Gautam Srivastava, and Jerry Chun-Wei Lin. Overcoming Smart City Barriers Using Multi-Modal Interpretive Structural Modeling. Journal of Signal Processing Systems (2022). https://doi.org/10.1007/s11265-022-01751-w
145. Lin, J.CW., Lv, Q., Yu, D. et al. Adaptive particle swarm optimization model for resource leveling. Evolving Systems (2022). https://doi.org/10.1007/s12530-022-09420-w
146. Abbas Yazdinejad*, Ali Dehghantanha, Hadis Karimipour, Gautam Srivastava, Reza M. Parizi, An efficient packet parser architecture for software-defined 5G networks, Physical Communication, Volume 53, 2022, 101677, ISSN 1874-4907, https://doi.org/10.1016/j.phycom.2022.101677.
147. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, and Jerry Chun-Wei Lin. 2022. An Efficient and Accurate GPU-based Deep Learning Model for Multimedia Recommendation. ACM Trans. Multimedia Comput. Commun. Appl. Just Accepted (March 2022). DOI:https://doi.org/10.1145/3524022
148. Yihong Yang, Xuan Yang, Mohsen Heidari, Mohammad Khan, Gautam Srivastava, Mohammad Khosravi, Lianyong Qi, ASTREAM: Data-Stream-Driven Scalable Anomaly Detection with Accuracy Guarantee in IIoT Environments, in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2022.3157730.
149. Majid, Mamoona, Shaista Habib, Abdul R. Javed, Muhammad Rizwan, Gautam Srivastava, Thippa R. Gadekallu, and Jerry C.-W. Lin. 2022. Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review, Sensors 22, no. 6: 2087. https://doi.org/10.3390/s22062087
150. Youcef Djenouri, Gautam Srivastava, Anis Yazidi, and Jerry Lin. An edge-driven multi-agent optimization model for infectious disease detection. Applied Intelligence (2022). https://doi.org/10.1007/s10489-021-03145-0
151. Muhammad Rizwan, Aysha Shabbir, Abdul Rehman Javed, Gautam Srivastava, Thippa Reddy Gadekallu, Maryam Shabir, Muhammad Abul Hassan, Risk monitoring strategy for confidentiality of healthcare information, Computers & Electrical Engineering, Volume 100, 2022, 107833, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.107833.
152. Thippa Reddy Gadekallu, Gautam Srivastava, Madhusanka Liyanage, Iyapparaja M., Chiranji Lal Chowdhary, Srinivas Koppu, Praveen Kumar Reddy Maddikunta, Hand gesture recognition based on a Harris Hawks optimized Convolution Neural Network, Computers & Electrical Engineering, Volume 100, 2022, 107836, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.107836.
153. Roy, A.K.; Nath, K.; Srivastava, G.; Gadekallu, T.R.; Lin, J.C.-W. Privacy Preserving Multi-Party Key Exchange Protocol for Wireless Mesh Networks. Sensors 2022, 22, 1958. https://doi.org/10.3390/s22051958
154. B. Pradhan*, Gautam Srivastava, D. S. Roy, K. H. K. Reddy, and Jerry Chun-Wei Lin. 2021. Traffic Classification in Underwater Networks using SDN and Data-Driven Hybrid Metaheuristics. ACM Trans. Sen. Netw. (2022). DOI:https://doi.org/10.1145/3474556
155. Youcef Djenouri, Asma Belhadi, Djamel Djenouri, Gautam Srivastava and J. C. -W. Lin, Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems, in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3151490.
156. Tinhinane Mezair, Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Jerry Chun-Wei Lin, A sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments, Computer Communications, 2022, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2022.02.010.
157. Pramod Pavithran, Sheena Mathew, Suyel Namasudra, Gautam Srivastava, A novel cryptosystem based on DNA cryptography, hyperchaotic systems and a randomly generated Moore machine for cyber physical systems, Computer Communications, 2022, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2022.02.008.
158. Usman Ahmed*, Jerry Chun-Wei Lin, Gautam Srivastava, A ML-based resource utilization OpenCL GPU-kernel fusion model, Sustainable Computing: Informatics and Systems, Volume 35, 2022, 100683, ISSN 2210-5379, https://doi.org/10.1016/j.suscom.2022.100683.
159. M. Jemmali, M. Denden, W. Boulila, R. H. Jhaveri, G. Srivastava and T. R. Gadekallu, A Novel Model Based on Window-Pass Preferences for Data-Emergency-Aware Scheduling in Computer Networks, in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2022.3149896.
160. Sharma DK, Singh A, Sharma SK, Srivastava G, Lin JC. Task-specific image summaries using semantic information and self-supervision. Soft Computing. 2022 Jan 21:1-4.
161. Yanning Zhang, Gautam Srivastava, Speech emotion recognition method in educational scene based on machine learning, EAI Endorsed Transactions on Scalable Information Systems, EAI, 2022. DOI: 10.4108/eai.10-2-2022.173380
162. Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Yuanfa Li, and Philip S. Yu. 2021. Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model. ACM Trans. Knowl. Discov. Data 16, 3, Article 60 (June 2022), 26 pages. DOI:https://doi.org/10.1145/3487046
163. Chen, Zh., Srivastava, G. A Dual Chaotic Encryption Method for Lightweight Infrared Image. Mobile Netw Appl (2022). https://doi.org/10.1007/s11036-021-01906-2
164. Chien-Fu Cheng, Gautam Srivastava, Jerry Chun-Wei Lin, Ying-Chen Lin, A consensus protocol for unmanned aerial vehicle networks in the presence of Byzantine faults, Computers & Electrical Engineering, Volume 99, 2022, 107774, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.107774.
165. Lin, J.CW., Djenouri, Y., Srivastava, G. et al. Efficient evolutionary computation model of closed high-utility itemset mining. Applied Intelligence (2022). https://doi.org/10.1007/s10489-021-03134-3
166. M. Adimoolam, S. Mohan*, John A., G. Srivastava. A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems, International Journal of Interactive Multimedia and Artificial Intelligence, (2022), http://dx.doi.org/10.9781/ijimai.2022.01.002
167. Prabhat Kumar, Randhir Kumar, Govid P. Gupta, Rakesh Tripathi and Gautam Srivastava, P2TIF: A Blockchain and Deep Learning Framework for Privacy-preserved Threat Intelligence in Industrial IoT, in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2022.3142030.
168. Amit Kumar Singh*, Rajendra Pamula, Gautam Srivastava, An Adaptive Energy Aware DTN-based Communication Layer for Cyber-Physical Systems, Sustainable Computing: Informatics and Systems, 2022, 100657, ISSN 2210-5379, https://doi.org/10.1016/j.suscom.2022.100657.
169. Dhanaraj RK, Jhaveri RH, Krishnasamy L, Srivastava G, Maddikunta PK. Black-Hole Attack Mitigation in Medical Sensor Networks Using the Enhanced Gravitational Search Algorithm. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2021 Dec 28.
170. Youcef Djenouri, Asma Belhadi, Gautam Srivastava and Jerry C. -W. Lin, Secure Collaborative Augmented Reality Framework for Biomedical Informatics, in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2021.3139575.
171. Usman Ahmed*, Gautam Srivastava, Youcef Djenouri, Jerry Chun-Wei Lin, Knowledge graph based trajectory outlier detection in sustainable smart cities, Sustainable Cities and Society, 2021.
172. Yan Zhao and Gautam Srivastava, A Wireless Mesh Opportunistic Network Routing Algorithm based on Trust Relationships, in IEEE Access, doi: 10.1109/ACCESS.2021.3138370.
173. Li-sheng Cui and Gauta, Srivastava, QoS routing algorithm for OBS networks based on a multi-objective genetic algorithm, in IEEE Access, doi: 10.1109/ACCESS.2021.3138380.
174. Usman Ahmed*, Gautam Srivastava, Unil Yun, Jerry Chun-Wei Lin, EANDC: An explainable attention network based deep adaptive clustering model for mental health treatments, Future Generation Computer Systems, 2021, ISSN 0167-739X, https://doi.org/10.1016/j.future.2021.12.008.
175. Usman Ahmed*, Jerry Chun-Wei Lin, Gautam Srivastava, A resource allocation deep active learning based on load balancer for network intrusion detection in SDN sensors, Computer Communications, 2021, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2021.12.009.
176. Usman Ahmed*, Jerry Chun-Wei Lin, Gautam Srivastava, and Hsing-Chung Chen, Deep active reinforcement learning for privacy preserve data mining in 5G environments, Journal of Intelligent & Fuzzy Systems, 2021. DOI:10.3233/JIFS-219262.
177. Y. Djenouri, D. Djenouri, A. Belhadi, G. Srivastava and J. C. -W. Lin, Emergent Deep Learning for Anomaly Detection in the Internet of Everything, in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3134932.
178. Usman Ahmed*, Gautam Srivastava, Youcef Djenouri and Jerry Chun-Wei Lin, Deviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems, in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3131793.
179. Hassam Mughal, Muhhamad Bilal, Uttam Ghosh, Gautam Srivastava and Chattan Shah, Efficient Allocation of Resource Intensive Mobile Cyber-Physical Social System Applications on a Heterogeneous Mobile Ad Hoc Cloud, in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2021.3130948.
180. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Eklas Houssein, & Jerry Chun-Wei Lin. (2021). Sensor data fusion for the industrial artificial intelligence of things. Expert Systems, e12875. https://doi.org/10.1111/exsy.12875
181. Srivastava, Hari M., Eman S.A. AbuJarad, Fahd Jarad, Gautam Srivastava, and Mohammed H.A. AbuJarad 2021. The Marichev-Saigo-Maeda Fractional-Calculus Operators Involving the (p,q)-Extended Bessel and Bessel-Wright Functions, Fractal and Fractional 5, no. 4: 210. https://doi.org/10.3390/fractalfract5040210
     71. Sherif Abdelfattah, Mohamed Baza, Mahmoud Badr, Mohamed Mahmoud, Gautam Srivastava, Fawaz Alsolami, Abdullah Marish Ali, Efficient Search over Encrypted Medical Data with Known-Plaintext/Background Models and Unlinkability, in IEEE Access, doi: 10.1109/ACCESS.2021.3126200.
182. Xiangbin Liu, Jiesheng He, Liping Song, Shuai Liu, and Gautam Srivastava. 2021. Medical Image Classification based on an Adaptive Size Deep Learning Model. ACM Trans. Multimedia Comput. Commun. Appl. 17, 3s, Article 102 (October 2021), 18 pages. DOI:https://doi.org/10.1145/3465220
183. Mohsin Kamal, Muhammad Tariq, Gautam Srivastava and Lukas Malina, Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems, in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3123188.
184. Wajid Shah, Muhammad Aleem, Muhammad Azhar Iqbal, Muhammad Arshad Islam, Usman Ahmed, Gautam Srivastava, Jerry Chun-Wei Lin, A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases, Journal of Healthcare Engineering, vol. 2021, Article ID 2621655, 17 pages, 2021. https://doi.org/10.1155/2021/2621655
185. Liang Tan, Keping Yu, Long Lin, Xiaofan Cheng, Gautam Srivastava, Jerry Chun-Wei Lin, Wei Wei, Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space-Air-Ground Integrated Intelligent Transportation System, in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3119921.
186. Weizheng Wang, Chen Qiu, Zhimeng Yin, Gautam Srivastava, Thippa Reddy Gadekallu*, Fawaz Alsolami, Chunhua Su, Blockchain and PUF-based Lightweight Authentication Protocol for Wireless Medical Sensor Networks, in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3117762.
187. D. Wang, Y. He, K. Yu, G. Srivastava, L. Nie and R. Zhang, Delay Sensitive Secure NOMA Transmission for Hierarchical HAP-LAP Medical-care IoT Networks, in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3117263.
188. Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Alberto Cano and Jerry C. -W. Lin, Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics, in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3114064.
189. Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Philippe Fournier-Viger, Mining Profitable and Concise Patterns in Large-Scale Internet of Things Environments, Wireless Communications and Mobile Computing, vol. 2021, Article ID 6653816, 12 pages, 2021. https://doi.org/10.1155/2021/6653816
190. Jimmy Wu, Gautam Srivastava, Alireza Jolfaei, Matin Pirouz and Jerry Chun-Wei Lin, Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model, in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2020.3032701.
191. Noushin Jafarpisheh, Effat J. Zaferani, Mohammad Teshnehlab, Hadis Karimipour, Reza M. Parizi, Gautam Srivastava, A Deep Neural Network Combined with Radial Basis Function for Abnormality Classification, Mobile Network Applications (2021). https://doi.org/10.1007/s11036-021-01835-0.
192. Praphula Kumar Jain, Ephrem Admasu Yekun, Rajendra Pamula, Gautam Srivastava, Consumer recommendation prediction in online reviews using Cuckoo optimized machine learning models, Computers & Electrical Engineering, Volume 95, 2021, 107397, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2021.107397.
193. Ritu Nigam, Deepak Kumar Sharma, Satbir Jain, Gautam Srivastava. A Local Betweenness Centrality Based Forwarding Technique for Social Opportunistic IoT Networks. Mobile Network and Applications (2021). https://doi.org/10.1007/s11036-021-01820-7.
194. Jimmy Ming-Tai Wu, Lingyun Sun, Gautam Srivastava, and Jerry Chun-Wei Lin. A Long Short-Term Memory Network Stock Price Prediction with Leading Indicators, Big Data. 2021. DOI: http://doi.org/10.1089/big.2020.0391
195. S. Hasnain Pasha, Deepti Mehrotra, Jerry Chun-Wei Lin, and Gautam Srivastava, GSTChain: A Blockchain Network Application for the Goods and Services Tax, Journal of Circuits, Systems, and Computers, 2021. DOI: 10.1142/S0218126622500025
196. Muhammad Usman Abbasi, Anum Rashad, Gautam Srivastava, Muhammad Tariq, Multiple contaminant biosignal quality analysis for electrocardiography, Biomedical Signal Processing and Control, Volume 71, Part A, 2022, 103127, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2021.103127.
197. Yinan Shao, Jerry Chun-Wei Lin, Gautam Srivastava, Dongdong Guo, Hongchun Zhang, Hu Yi, Alireza Jolfaei, Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3105937.
198. Usman Ahmed*, Gautam Srivastava, Jerry Chun-Wei Lin, Reliable customer analysis using federated learning and exploring deep-attention edge intelligence, Future Generation Computer Systems, 2021, ISSN 0167-739X, https://doi.org/10.1016/j.future.2021.08.028.
199. Usman Ahmed*, Jerry Chun-Wei Lin, Gautam Srivastava, Youcef Djenouri, A nutrient recommendation system for soil fertilization based on evolutionary computation, Computers and Electronics in Agriculture, Volume 189, 2021, 106407, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2021.106407.
200. Rhutvij Jhaveri, Ramani Sagar, Gautam Srivastava, Thippa R. Gadekallu* and Vaneet Aggarwal, Fault-Resilience for Bandwidth Management in Industrial Software-Defined Networks, in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2021.3104499.
201. Amit Kumar Singh*, Rajendra Pamula, Praphula Jain*, and Gautam Srivastava. An efficient vehicular-relay selection scheme for vehicular communication. Soft Computing (2021). https://doi.org/10.1007/s00500-021-06106-4
202. Eishvak Sengupta*, Renuka Nagpal, Deepti Mehrotra, Gautam Srivastava. ProBlock: a novel approach for fake news detection. Cluster Computing (2021). https://doi.org/10.1007/s10586-021-03361-w
203. Bowen Shen, Xiaolong Xu, Lianyong Qi, Xuyun Zhang, Gautam Srivastava, Dynamic server placement in edge computing toward Internet of Vehicles, Computer Communications, Volume 178, 2021,Pages 114-123, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2021.07.021.
204. A. Moqurrab, U. Ayub, A. Anjum, S. Asghar and G. Srivastava, An Accurate Deep Learning Model for Clinical Entity Recognition From Clinical Notes, in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2021.3099755.
205. Jimmy Ming-Tai Wu, Qian Teng, Gautam Srivastava, Matin Pirouz, and Jerry Chun-Wei Lin. 2021. The Efficient Mining of Skyline Patterns from a Volunteer Computing Network. ACM Trans. Internet Technol. 21, 4, Article 89 (July 2021), 20 pages. DOI:https://doi.org/10.1145/3423557
206. Buddhadeb Pradhan*, Nirmal Baran Hui, Diptendu Sinha Roy, Gautam Srivastava, and Jerry Chun-Wei Lin. 2021. Game-Theoretic Strategic Coordination and Navigation of Multiple Wheeled Robots. ACM Trans. Internet Technol. 21, 4, Article 96 (July 2021), 15 pages. DOI:https://doi.org/10.1145/3450521
207. Jimmy Ming-Tai Wu, Lingyun Sun, Gautam Srivastava, Jerry Chun-Wei Lin, A Novel Synergetic LSTM-GA Stock Trading Suggestion System in Internet of Things, Mobile Information Systems, vol. 2021, Article ID 6706345, 15 pages, 2021. https://doi.org/10.1155/2021/6706345
208. Youcef Djenouri, Gautam Srivastava, Asma Belhadi, Jerry Lin. Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments. Trans Emerging Tel Tech. 2021;e4332. https://doi.org/10.1002/ett.4332
209. Amna Mubashar, Kalsoom Asghar, Abdul Rehman Javed, Muhammad Rizwan, Gautam Srivastava, Thippa Reddy Gadekallu*, Dong Wang, and Maryam Shabbir, Storage and Proximity Management for Centralized Personal Health Records Using an IPFS-based Optimization Algorithm, Journal of Circuits, Systems and Computers, 2021, https://doi.org/10.1142/S0218126622500104.
210. Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Jerry Chun-Wei Lin, Reinforcement learning multi-agent system for faults diagnosis of mircoservices in industrial settings, Computer Communications, 2021, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2021.07.010.
211. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Uttam Ghosh, Pushpita Chatterjee and Jerry Chun-Wei Lin, Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things, in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3092275.
212. Praphula Kumar Jain*, Rajendra Pamula, Gautam Srivastava, A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews, Computer Science Review, Volume 41, 2021, 100413, ISSN 1574-0137, https://doi.org/10.1016/j.cosrev.2021.100413.
213. Muhammad Arshad Islam, Muhammad Azhar Iqbal, Muhammad Aleem, Zahid Halim, Gautam Srivastava, and Jerry Chun-Wei Lin, Evaluation of Congestion Aware Social Metrics for Centrality-Based Routing, Wireless Communications and Mobile Computing, vol. 2021, Article ID 5581259, 14 pages, 2021. https://doi.org/10.1155/2021/5581259.
214. Prabhat Kumar, Randhir Kumar, Gautam Srivastava, Govind Gupta, Rakesh Tripathi, Thippa Reddy Gadekallu*, Neal Xiong. PPSF: A Privacy-Preserving and Secure Framework using Blockchain-based Machine-Learning for IoT-driven Smart Cities, in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2021.3089435.
215. Celestine Iwendi, Saif Ur Rehman, Abdul Rehman Javed, Suleman Khan, and Gautam Srivastava. 2021. Sustainable Security for the Internet of Things Using Artificial Intelligence Architectures. ACM Trans. Internet Technol. 21, 3, Article 73 (June 2021), 22 pages. DOI:https://doi.org/10.1145/3448614.
216. Mu-En Wu, Jia-Hao Syu, Gautam Srivastava & Jerry Chun-Wei Lin (2021): Informative index for investment based on Kelly criterion, Enterprise Information Systems, DOI:10.1080/17517575.2021.1939425
217. Usman Ahmed*, Jerry Chun-Wei Lin and Gautam Srivastava, Privacy-Preserving Deep Reinforcement Learning in Vehicle AdHoc Networks, in IEEE Consumer Electronics Magazine, doi: 10.1109/MCE.2021.3088408.
218. Chun-Hao Chen, Ping Shih, Gautam Srivastava, Shih-Ting Hung and Jerry Chun-Wei Lin, Evolutionary Trading Signal Prediction Model Optimization based on Chinese News and Technical Indicators in the Internet of Things, in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3085714.
219. Jimmy Ming-Tai Wu, Gautam Srivastava, Jerry Chun-Wei Lin, and Qian Teng. 2021. A Multi-Threshold Ant Colony System-based Sanitization Model in Shared Medical Environments. ACM Trans. Internet Technol. 21, 2, Article 49 (June 2021), 26 pages. DOI:https://doi.org/10.1145/3408296.
220. Usman Ahmed*, Gautam Srivastava, Jerry Lin. A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems. Journal of Network and System Management 29, 42 (2021). https://doi.org/10.1007/s10922-021-09609-5.
221. Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Alireza Jolfaei, Jerry Chun-Wei Lin, Privacy reinforcement learning for faults detection in the smart grid, Ad Hoc Networks, Volume 119, 2021, 102541, ISSN 1570-8705, https://doi.org/10.1016/j.adhoc.2021.102541.
222. Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Efficient closed high-utility pattern fusion model in large-scale databases, Information Fusion, 2021, ISSN 1566-2535, https://doi.org/10.1016/j.inffus.2021.05.011.
223. Liang Tan, Keping Yu, Fangpeng Ming, Xiaofeng Chen and Gautam Srivastava, Secure and Resilient Artificial Intelligence of Things: a HoneyNet Approach for Threat Detection and Situational Awareness, in IEEE Consumer Electronics Magazine, doi: 10.1109/MCE.2021.3081874.
224. Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta*, Thippa Reddy Gadekallu*, Genetically Optimized Prediction of Remaining Useful Life, Sustainable Computing: Informatics and Systems, 2021, 100565, ISSN 2210-5379, https://doi.org/10.1016/j.suscom.2021.100565.
225. Afeez Ajani Afuwape, Ying Xu, Joseph Henry Anajemba, Gautam Srivastava, Performance Evaluation of Secured Network Traffic Classification using a Machine Learning approach, Computer Standards & Interfaces, 2021, 103545, ISSN 0920-5489, https://doi.org/10.1016/j.csi.2021.103545.
226. Suresh Ponnan, Aanandha K. Saravanan, Celestine Iwendi, Ebuka Ibeke and Gautam Srivastava, An Artificial Intelligence Based Quorum System for the Improvement of the Lifespan of Sensor Networks, in IEEE Sensors Journal, doi: 10.1109/JSEN.2021.3080217.
227. Gautam Srivastava, Jerry Chun-Wei Lin, Youcef Djenouri, Unil Yun, Chien-Fu Cheng, Guo Lin, Security protocol of sensitive high utility itemset hiding in shared IoT environments, Digital Communications and Networks, 2021, ISSN 2352-8648, https://doi.org/10.1016/j.dcan.2021.03.002.
228. Ashokkumar P, Siva Shankar G, Gautam Srivastava, Praveen Kumar Reddy Maddikunta*, and Thippa Reddy Gadekallu*. 2021. A Two-stage Text Feature Selection Algorithm for Improving Text Classification. ACM Trans. Asian Low-Resour. Lang. Inf. Process. 20, 3, Article 49 (April 2021), 19 pages. DOI:https://doi.org/10.1145/3425781
229. Viraaji Mothukuri*, Prachi Khare*, Reza M. Parizi, Seyedamin Pouriyeh, Ali Dehghantanha and Gautam Srivastava, Federated Learning-based Anomaly Detection for IoT Security Attacks, in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3077803.
230. Chun-Yu Li, Qun Zhao, Norbert Herencsar, Gautam Srivastava. The Design of Mobile Distance Online Education Resource Sharing from the Perspective of Man-Machine Cooperation. Mobile Network Applications (2021). https://doi.org/10.1007/s11036-021-01770-0
231. Hang Li, Keping Yu, Bin Liu, Chaosheng Feng, Zhiguang Qin and Gautam Srivastava, An Efficient Ciphertext-Policy Weighted Attribute-Based Encryption for the Internet of Health Things, in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2021.3075995.
232. Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Unil Yun, Philippe Fourier-Viger, A predictive GA-based model for closed high-utility itemset mining, Applied Soft Computing, 2021, 107422, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2021.107422.
233. Chien-Fu Cheng, Jerry Chun-Wei Lin, Gautam Srivastava, Chu-Chiao Hsu, Reaching Consensus with Byzantine Faulty Controllers in Software-Defined Networks, Wireless Communications and Mobile Computing, vol. 2021, Article ID 6662175, 9 pages, 2021. https://doi.org/10.1155/2021/6662175
234. Keming Mao, Gautam Srivastava, Reza M. Parizi, Mohammad S. Khan, Multi-source fusion for weak target images in the Industrial Internet of Things,
     Computer Communications, 2021, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2021.04.002.
235. Lianyong Qi, Houbing Song, Xuyun Zhang, Gautam Srivastava, Xiaolong Xu, and Shui Yu. 2021. Compatibility-Aware Web API Recommendation for Mashup Creation via Textual Description Mining. ACM Trans. Multimedia Comput. Commun. Appl. 17, 1s, Article 20 (March 2021), 19 pages. DOI=10.1145/3417293
236. Usman Ahmed*, Suresh Mukhiya, Gautam Srivastava, Yngve Lamo, Jerry Chun-Wei Lin, Attention-Based Deep Entropy Active Learning Using Lexical Algorithm for Mental Health Treatment, Frontiers in Psychology, Vol. 12, 2021, 471-484, DOI=10.3389/fpsyg.2021.642347
237. Abba Garba*, Zhong Chen, Zhi Guan and Gautam Srivastava, LightLedger: A Novel Blockchain-Based Domain Certificate Authentication and Validation Scheme, in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2021.3069128.
238. Fan Wang, Haibin Zhu, Gautam Srivastava, Shancang Li, Mohammad R. Khosravi and Lianyong Qi, Robust Collaborative Filtering Recommendation With User-Item-Trust Records, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2021.3064213.
239. S. Gopikrishnan*, P. Priakanth, Gautam Srivastava, DEDC: Sustainable data communication for cognitive radio sensors in the Internet of Things, Sustainable Computing: Informatics and Systems, Volume 29, Part B, 2021, 100471, ISSN 2210-5379, https://doi.org/10.1016/j.suscom.2020.100471.
240. G. Vallathan, A. John, Chandrasegar Thirumalai, Senthilkumar Mohan*, Gautam Srivastava, Jerry Chun-Wei Lin. Suspicious activity detection using deep learning in secure assisted living IoT environments. Journal of Supercomputing 77, 3242–3260 (2021). https://doi.org/10.1007/s11227-020-03387-8.
241. Randhir Kumar, Rakesh Tripathi, Ningrinla Marchang, Gautam Srivastava, Thippa Reddy Gadekallu*, Neal N. Xiong, A secured distributed detection system based on IPFS and blockchain for industrial image and video data security, Journal of Parallel and Distributed Computing, 2021, ISSN 0743-7315, https://doi.org/10.1016/j.jpdc.2021.02.022.
242. J.H. Syu, M.E. Wu, Gautam Srivastava, C.F. Chao and Jerry Chun-Wei Lin, An IoT-based Hedge System for Solar Power Generation, in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3064384.
243. N. Deepa, B. Prabadevi, and Gautam Srivastava. Integrated Ranking Algorithm for Efficient Decision Making. International Journal of Information Technology & Decision Making. 2021 Feb 26:1-22.
244. Tan Guo, Keping Yu, Gautam Srivastava, Wei Wei, Lei Guo and Neal N. Xiong, Latent Discriminative Low-rank Projection for Visual Dimension Reduction in Green Internet of Things, in IEEE Transactions on Green Communications and Networking, doi: 10.1109/TGCN.2021.3062972.
245. Yinan Shao, Jerry Chun-Wei Lin, Gautam Srivastava, Alireza Jolfaei, Dongdong Guo, Yi Hu, Self-attention-based conditional random fields latent variables model for sequence labeling, Pattern Recognition Letters, Volume 145, 2021, Pages 157-164, ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2021.02.008.
246. Lukas Malina, Petr Dzurenda, Sara Ricci, Jan Hajny, Gautam Srivastava; Raimundas Matulevičius, Abasi-amefon O. Affia, Maryline Laurent, Nazatul Haque Sultan, Qiang Tang, Post-Quantum Era Privacy Protection for Intelligent Infrastructures, in IEEE Access, doi: 10.1109/ACCESS.2021.3062201.
247. Gunasekaran Manogaran, Gautam Srivastava, Bala Anand Muthu, S. Baskar, P. Mohamed Shakeel, Ching-Hsien Hsu, Ali Bashir, Priyan Kumar. A Response-aware Traffic Offloading Scheme using Regression Machine Learning for User-Centric Large-Scale Internet of Things. IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3360-3368, 1 March1, 2021, doi: 10.1109/JIOT.2020.3022322.
248. Dongjie Zhu, Yundong Sun, Haiwen Du, Ning Cao, Thar Baker, Gautam Srivastava. HUNA: A method of Hierarchical Unsupervised Network Alignment for IoT. IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3201-3210, 1 March1, 2021, doi: 10.1109/JIOT.2020.3020951.
249. Usman Ahmed*, Gautam Srivastava, Jerry Chun-Wei Lin, A Machine Learning Model for Data Sanitization, Computer Networks, Volume 189, 2021, 107914, ISSN 1389-1286, https://doi.org/10.1016/j.comnet.2021.107914.
250. K. Yu, L. Tan, X. Shang, J. Huang, G. Srivastava and P. Chatterjee, Efficient and Privacy-Preserving Medical Research Support Platform Against COVID-19: A Blockchain-Based Approach, in IEEE Consumer Electronics Magazine, vol. 10, no. 2, pp. 111-120, 1 March 2021, doi: 10.1109/MCE.2020.3035520.
251. Dawid Połap, Gautam Srivastava, Keping Yu, Agent architecture of an intelligent medical system based on federated learning and blockchain technology, Journal of Information Security and Applications, Volume 58, 2021, 102748, ISSN 2214-2126, https://doi.org/10.1016/j.jisa.2021.102748.
252. Joseph Henry Anajemba, James Adu Ansere, Frederick Sam, Celestine Iwendi, Gautam Srivastava, Optimal Soft Error Mitigation in Wireless Communication using Approximate Logic Circuits, Sustainable Computing: Informatics and Systems, 2021, 100521, ISSN 2210-5379, https://doi.org/10.1016/j.suscom.2021.100521.
253. Dawei Zhu, Zhanyang Xu, Xiaolong Xu, Qingzhan Zhao, Lianyong Qi and Gautam Srivastava, Cognitive Analytics of Social Media Services for Edge Resource Pre-Allocation in Industrial Manufacturing, in IEEE Transactions on Computational Social Systems, 2021 doi: 10.1109/TCSS.2021.3052231.
254. Jerry Lin, Usman Ahmed*, Gautam Srivastava, Jimmy Ming-Tai Wu, Tzung-Pei Hong, Youcef Djenouri. Linguistic frequent pattern mining using a compressed structure. Applied Intelligence (2021). https://doi.org/10.1007/s10489-020-02080-w
255. Ebin Raj, Guna Manogaran, Gautam Srivastava and Yulei Wu, Information Granulation-Based Community Detection for Social Networks, in IEEE Transactions on Computational Social Systems, vol. 8, no. 1, pp. 122-133, Feb. 2021, doi: 10.1109/TCSS.2019.2963247.
256. Chetan Mendhe*, Nathan Henderson*, Gautam Srivastava and Vijay Mago, A Scalable Platform to Collect, Store, Visualize, and Analyze Big Data in Real Time, in IEEE Transactions on Computational Social Systems, vol. 8, no. 1, pp. 260-269, Feb. 2021, doi: 10.1109/TCSS.2020.2995497.
257. Suresh P., Saravanakumar U., Celestine Iwendi, Senthilkumar Mohan, Gautam Srivastava, Field-programmable gate arrays in a low power vision system, Computers & Electrical Engineering, Volume 90, 2021, 106996, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2021.106996.
258. S. Gopikrishnan, P. Priakanth, G. Srivastava and G. Fortino, EWPS: Emergency data communication in the Internet of Medical Things, in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3053419.
259. Usman Ahmed*, Jerry Chun-Wei Lin, Gautam Srivastava, Rizwan Yasin and Youcef Djenouri, An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases, in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5, no. 1, pp. 19-28, Feb. 2021, doi: 10.1109/TETCI.2020.3000224.
260. Gautam Srivastava, Muneeswari S, Revathi Venkataraman, Kavitha V & Parthiban N (2021) A review of the state of the art in business intelligence software, Enterprise Information Systems, DOI: 10.1080/17517575.2021.1872107
261. Kanwal Mahmud, Muhammad Usman, Mudassar Sindhu, Alireza Jolfaei, Gautam Srivastava, Closing the Loop in Feedback Driven Learning Environments Using Trust Decision Making and Utility Theory, in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5, no. 1, pp. 6-18, Feb. 2021, doi: 10.1109/TETCI.2020.2991452.
262. A. K. Singh, S. Thakur, Alireza Jolfaei, Gautam Srivastava, MD. Elhoseny, and A. Mohan. 2021. Joint Encryption and Compression-Based Watermarking Technique for Security of Digital Documents. ACM Trans. Internet Technol. 21, 1, Article 18 (January 2021), 20 pages. DOI:https://doi.org/10.1145/3414474
263. Usman Ahmed*, Jerry Chun-Wei Lin, Gautam Srivastava, Muhammad Aleem. A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster. Soft Computing, 25, 407–420, 2021.
264. Youcef Djenouri, Gautam Srivastava and Jerry Chun-Wei Lin, Fast and Accurate Convolution Neural Network for Detecting Manufacturing Data, in IEEE Transactions on Industrial Informatics, vol. 17, no. 4, pp. 2947-2955, April 2021, doi: 10.1109/TII.2020.3001493.
265. Abdul Razaque, Moayad Aloqaily, Muder Almiani, Yaser Jararweh, Gautam Srivastava, Efficient and reliable forensics using intelligent edge computing, Future Generation Computer Systems, 2021, ISSN 0167-739X, https://doi.org/10.1016/j.future.2021.01.012.
266. Randhir Kumar, Prabhat Kumar, Rakesh Tripathi, Govind P. Gupta, Thippa Reddy Gadekallu*, Gautam Srivastava, SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles, Computer Networks, Volume 187, 2021, 107819, ISSN 1389-1286, https://doi.org/10.1016/j.comnet.2021.107819.
267. Jimmy Wu, Gautam Srivastava, Unil Yun, S. Tayeb, Jerry Chun-Wei Lin. An evolutionary computation‐based privacy‐preserving data mining model under a multi-threshold constraint. Trans Emerging Tel Tech. 2021;e4209.
268. M. S. Mekala, A. Jolfaei, G. Srivastava, X. Zheng, A. Anvari-Moghaddam and P. Viswanathan, Resource Offload Consolidation Based on Deep-Reinforcement Learning Approach in Cyber-Physical Systems, in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2020.3044082.
269. X. Xu, B. Shen, S. Ding, G. Srivastava, M. Bilal, M. Khosravi, V. Menon, M. Jan, and M. Wang, Service Offloading with Deep Q-Network for Digital Twinning Empowered Internet of Vehicles in Edge Computing, in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2020.3040180.
270. Jimmy Ming-Tai Wu, Gautam Srivastava, Min Wei, Unil Yun, Jerry Chun-Wei Lin,
     Fuzzy High-Utility Pattern Mining in Parallel and Distributed Hadoop Framework, Information Sciences, 2021, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2020.12.004.
271. Viraaji Mothukuri, Reza M. Parizi, Seyedamin Pouriyeh, Yan Huang, Ali Dehghantanha, Gautam Srivastava, A survey on security and privacy of federated learning, Future Generation Computer Systems, Volume 115, 2021, Pages 619-640, ISSN 0167-739X, https://doi.org/10.1016/j.future.2020.10.007.
272. Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Djamel Djenouri, Jerry Chun-Wei Lin, Giancarlo Fortino. Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection. Information Fusion, 2021.
273. Tiantian Li, Wei Ren, Yuexin Xiang, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo, Gautam Srivastava, FAPS: A fair, autonomous and privacy-preserving scheme for big data exchange based on oblivious transfer, Ether cheque and smart contracts, Information Sciences, Volume 544, 2021, Pages 469-484.
274. Jimmy Wu, Gautam Srivastava, Alireza Jolfaei, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Hiding sensitive information in eHealth datasets, Future Generation Computer Systems, Volume 117, 2021, Pages 169-180, https://doi.org/10.1016/j.future.2020.11.026.
275. Jimmy Wu, Min Wei, Gautam Srivastava, Chien-Ming Chen, Jerry Lin. Mining large-scale high utility patterns in vehicular ad hoc network environments. Transactions on Emerging Telecommunications Technologies, Wiley, 2020.
276. Abba Garba*, Ashutosh Dhar Dwivedi*, Mohsin Kamal*, Gautam Srivastava, Muhamad Tariq, M. Anwar Hasan, Zhong Chen, A digital rights management system based on a scalable blockchain, Peer-to-Peer Networking and Applications, 2020, 1936-6450, https://doi.org/10.1007/s12083-020-01023-z.
277. Abdul Rehman Javed, Labiba Gillani Fahad, Asma Ahmad Farhan, Sidra Abbas, Gautam Srivastava, Reza M. Parizi, Mohammad S. Khan, Automated Cognitive Health Assessment in Smart Homes using Machine Learning, Sustainable Cities and Society, 2020, 102572, ISSN 2210-6707, https://doi.org/10.1016/j.scs.2020.102572.
278. K. Yu, L. Tan, X. Shang, J. Huang, G. Srivastava and P. Chatterjee, Efficient and Privacy-Preserving Medical Research Support Platform Against COVID-19: A Blockchain-Based Approach, in IEEE Consumer Electronics Magazine, doi: 10.1109/MCE.2020.3035520.
279. Zolfaghari, B*, Parizi, RM, Srivastava, G, Hailemariam, Y*. Root causing, detecting, and fixing flaky tests: State of the art and future roadmap. Software: Practice and Experience. 2020; 1– 17. https://doi.org/10.1002/spe.2929
280. Li, W., Huang, Q. and Srivastava, G. Contour Feature Extraction of Medical Image Based on Multi-Threshold Optimization. Mobile Network Applications (2020). https://doi.org/10.1007/s11036-020-01674-5
281. Jimmy Wu, Zhongcui Li, Gautam Srivastava, Meng-Hsiun Tasi, Jerry Lin. A graph‐based convolutional neural network stock price prediction with leading indicators. Software: Practice and Experience. 2020; 1– 17. https://doi.org/10.1002/spe.2915
282. Rupa Ch, Gautam Srivastava, Thippa Reddy Gadekallu*, Praveen Kumar Reddy Maddikunta*, Sweta Bhattacharya, Security and privacy of UAV data using blockchain technology, Journal of Information Security and Applications, Volume 55, 2020, 102670, ISSN 2214-2126, https://doi.org/10.1016/j.jisa.2020.102670.
283. Jin Wang, Caiyan Jin, Qiang Tang, Neal N. Xiong, Gautam Srivastava. Intelligent Ubiquitous Network Accessibility for Wireless-Powered MEC in UAV-Assisted B5G. IEEE Transactions on Network Science and Engineering, 2020.
284. Jerry Chun-Wei Lin, Gautam Srivastava, Yuyu Zhang, Youcef Djenouri, and Moayad Aloqaily. Privacy Preserving Multi-Objective Sanitization Model in 6G IoT Environments. IEEE Internet of Things Journal, 2020.
285. Pavel Sikora*, Lukas Malina, Martin Kiac*, Zdenek Martinasek, Kamil Riha*, Jiri Prinosil, Leos Jirik*, Gautam Srivastava. Artificial Intelligence-based Surveillance System for Railway Crossing Traffic. IEEE Sensors Journal. 2020.
286. Wenlu Wang, Gautam Srivastava. Enterprise Human Resource Quality Management Model based on Grey Relational Analysis. International Journal of Performability Engineering. 2020 Mar 1.
287. Celestine Iwendi, Gautam Srivastava, Suleman Khan, Praveen Kumar Reddy*. Cyberbullying detection solutions based on deep learning architectures. Multimedia Systems, 2020. https://doi.org/10.1007/s00530-020-00701-5
288. Wanjie Kang, Youshun Pan, and Gautam Srivastava. The Reliability of IoT Networks With Characteristics of Abnormal Induced Signals. IEEE Transactions on Reliability, 2020.
289. Azeem Irshad*, Muhammad Usman, Shehzad Ashraf Chaudhry, Ali Kashif Bashir, Alireza Jolfaei, and Gautam Srivastava. Fuzzy-in-the-Loop-Driven Low-Cost and Secure Biometric User Access to Server. IEEE Transactions on Reliability, 2020.
290. Asma Belhadi, Youcef Djenouri , Gautam Srivastava, Djamel Djenouri, Alberto Cano, Jerry Chun-Wei Lin. A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories. IEEE Transactions on Intelligent Transportation Systems, 2020.
291. Gautam Srivastava, Jerry Chun-Wei Lin, Xuyun Zhang, and Yuanfa Li. Large-Scale High-Utility Sequential Pattern Analytics in Internet of Things, IEEE Internet of Things Journal, 2020.
292. Yi Gong, Lin Zhang, Renping Liu, Keping Yu, Gautam Srivastava. Non-Linear MIMO for Industrial Internet of Things in Cyber-Physical Systems. IEEE Transactions on Industrial Informatics. 2020
293. Bijeta Seth, Surjeet Dalal, Vivek Jaglan, Dac-Nhuong Le, Senthilkumar Mohan, Gautam Srivastava. Integrating encryption techniques for secure data storage in the cloud. Transactions on Emerging Telecommunications Technologies, 2020.
294. Seyed Mehdi Hazrati Fard, Hadis Karimimpour, Ali Dehghantanha, Amir Namavar Jahromi*, Gautam Srivastava, Ensemble sparse representation-based cyber threat hunting for security of smart cities, Computers & Electrical Engineering, Volume 88, 2020.
295. Om Prakash Singh, A. K. Singh, Gautam Srivastava, Neeraj Kumar. Image watermarking using soft computing techniques: A comprehensive survey. Mobile Tools and Applications. 2020.
296. Abbas Yazdinejad*, Hamed HaddadPajouh*, Ali Dehghantanha, Reza M. Parizi, Gautam Srivastava, and Mu-Yen Chen. Cryptocurrency malware hunting: A deep Recurrent Neural Network Approach. Applied Soft Computing, 2020.
297. Qian Chen*, Gautam Srivastava, Reza M. Parizi, Moayad Aloqaily, Ismaeel Al Ridhawi. An Incentive Aware blockchain-based solution for Internet of Fake Media Things. Information Processing and Management, 2020.
298. Abbas Yazdinejad*, Reza M. Parizi, Ali Dehghantanha, Hadis Karimipour, Gautam Srivastava and Mohammed Aledhari, Enabling Drones in the Internet of Things with Decentralized Blockchain-based Security, IEEE Internet of Things Journal, 2020.
299. Shivendra Shivani, Subhash Chandra Patel, Vinay Arora, Bhisham Sharma, Alireza Jolfaei, Gautam Srivastava. Real-time cheating immune secret sharing for remote sensing images. Journal of Real-Time Image Processing, 2020.
300. Celestine Iwendi, Syed Atif Moqurrab, Adeel Anjum, Sangeen Khan, Senthilkumar Mohan*, Gautam Srivastava, N-Sanitization: A semantic privacy-preserving framework for unstructuredmedical datasets. Computer Communications, 2020.
301. Karamjeet Singh, Bhisham Sharma, Jaiteg Singh, Gautam Srivastava, Suchita Sharma, Ashutosh Aggarwal, Xiaochun Cheng. Local Statistics-based Speckle Reducing Bilateral Filter for Medical Ultrasound Images. Mobile Networks and Applications, 2020.
302. Praveen Reddy*, Gautam Srivastava, Thippa Reddy G*, N. Deepa, Prabadevi Boopathy. Predictive Model for battery life in IoT networks. IET Intelligent Transport Systems, 2020.
303. Lina Wang, Xuyun Zhang, Tian Wang, Shaohua Wan, Gautam Srivastava, Shaoning Pang, Lianyong Qi. Diversified and Scalable Service Recommendation With Accuracy Guarantee. IEEE Transactions on Computational Social Systems, 2020.
304. Srinivas Koppu, Praveen Kumar Reddy M*, Gautam Srivastava. Deep learning disease prediction model for use with intelligent robots. Computers and Electrical Engineering, 2020.
305. Rajani Singh*, Ashutosh Dhar Dwivedi*, Gautam Srivastava, Internet of Things Based Blockchain for TemperatureMonitoring and Counterfeit Pharmaceutical Prevention. Sensors, 2020.
306. Usman Ahmed*, Jerry Chun-Wei Lin, Gautam Srivastava, Muhammad Aleem. A load balance multi-scheduling model for OpenCL kernel tasksin an integrated cluster. Soft Computing, 2020.
307. Xuanming Wang, Gautam Srivastava, The security of vulnerable senior citizens through dynamically sensed signal acquisition, Transactions on Emerging Telecommunications Technologies, 2020.
308. Mohsin Kamal*, Gautam Srivastava, and Muhammad Tariq, Blockchain-Based Lightweight and Secured V2V Communication in the Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems, 2020.
309. Dawid Połap, Gautam Srivastava. Neural image reconstruction using a heuristic validation mechanism. Neural Computing & Applications (2020).
310. Aditya Shaha, S. Mohan Sai, B.K.Tripathy, Gautam Srivastava, Muhammas Bilal, Lewis Nkenyereye. Performance Prediction and Interpretation of a Refuse Plastic Fuel Fired Boiler, IEEE Access, 2020.
311. Jie Zhang, Xiang Li, Xuyun Zhang, Yuan Xue, Gautam Srivastava, Wanchun Dou. Service offloading oriented edge server placement in smart farming. Software: Practice and Experience. 2020.
312. Faisal Naeem*, Gautam Srivastava, Mohammad Tariq. A Software Defined Network based Fuzzy Normalized Neural Adaptive Multipath Congestion Control for Internet of Things. IEEE Transactions of Network Science and Engineering. 2020.
313. Shuai Liu, Dongye Liu, Gautam Srivastava, Dawid Połap, Marcin Woźniak. Overview of correlation filter based algorithms in object tracking. Complex and Intelligent Systems, 2020.
314. Gautam Srivastava. Security, Privacy, and Trust for the Internet of Things: Research Needs 2020 and Beyond. IEEE Canadian Review. 2020.
315. Zaoli Yang*, Harish Garg, Jinqiu Li, Gautam Srivastava, Zehong Cao. Investigation of multiple heterogeneous relationships using a q-rung orthopair fuzzy multi-criteria decision algorithm. Neural Computing and Applications, 2020.
316. Gautam Srivastava, Jerry CW Lin, Matin Pirouz, Yuanfa Li, Unil Yun. A Pre-large Weighted-Fusion System of Sensed High-Utility Patterns. IEEE Sensors. 2020
317. Zaoli Yang, Harish Garg, Jinqiu Li, Gautam Srivastava, Zehong Cao. Investigation of multiple heterogeneous relationships using a q-rung orthopair fuzzy multi-criteria decision algorithm. Neural Computing and Applications, 2020.
318. Hsin-Yao Hsu, Gautam Srivastava, Hsin-Te Wud, Mu-Yen Chen, Remaining useful life prediction based on state assessment using edge computing on deep learning. Computer Communication, 2020.
319. Praveen Reddy*, Thippa Reddy*, Rajesh Kulari, Gautam Srivastava, Reza Parizi, Mohammed Khan, Green Communication in IoT Networks using a Hybrid Optimization Algorithm, Computer Communications, 2020.
320. Joseph Henry Anajemba*, Yue Tang, Celestine Iwendi, Akpesiri Ohwoekevwo, Gautam Srivastava, and Ohyun Jo, Realizing Efficient Security and Privacy in IoT Networks, Sensors, 2020.
321. Muhammad Arif, Mohsan Raza, Miraj Ul Haq, Gautam Srivastava, Relationship of the Bernardi Integral Operators With Certain Classes of Analytic Functions, Miskolc Mathematical Notes, 2020.
322. Behrouz Zolfaghari*, Gautam Srivastava, Swapnoneel Roy, Hamid R Nemati, Fatemeh Afghah, Takeshi Koshiba, Abolfazl Razi, Khodakhast Bibak, Pinaki Mitra, Brijesh Kumar Rai, Content Delivery Networks: State of the Art, Trends, and Future Roadmap, ACM Computing Surveys, 2020.
323. Celestine Iwendi, Zunera Jalil, Abdul Javed, Thippa Reddy; Rajesh Kaluri, Gautam Srivastava, Ohyun Jo, KeySplitWatermark: Zero Watermarking Algorithm for Software Protection against Cyber-Attacks, IEEE Access, 2020.
324. Abbas Yazdinejada, Reza M. Parizi, Ali Dehghantanha, Gautam Srivastava, Senthilkumar Mohan, Abedallah M Rababah, Cost Optimization of Secure Routing with Untrusted Devices in Software Defined Networking. Journal of Parallel and Distributed Computing, 2020
325. Ying Li, Xiang Chen, Yun Lin, Gautam Srivastava, Shuai Liu, Wireless Transmitter Identification Based on Device Imperfections. IEEE Access, 2020.
326. G Thippa Reddy, M Praveen Kumar Reddy, Kuruva Lakshmanna, Dharmendra Singh Rajput, Rajesh Kaluri, Gautam Srivastava, Thar Baker. Analysis of Dimensionality Reduction on Big Data. IEEE Access. 2020.
327. Tsu-Yang Wu*, Jerry C W Lin, Unil Yun, Chun-Hao Chen, Gautam Srivastava, and Xianbiao Lv. An Efficient Algorithm for Fuzzy Frequent Itemset Mining. Journal of Intelligent and Fuzzy Systems. 2020, Pages 1-11.
328. Bhisham Sharma*, Gautam Srivastava, Jerry Chun-Wei Lin, A bidirectional congestion control transport protocol for the internet of drones. Computer Communications, Volume 153, 2020, Pages 102-116.
329. M. Tariq, M. Adnan*, G. Srivastava and H. V. Poor, Instability detection and prevention in smart grids under asymmetric faults. IEEE Transactions on Industry Applications.
330. Hacer Ozden, Fikriye Zihni, Fatma Erdogan, Ismail Cangul, Gautam Srivastava, and H.M. Srivastava. Independence number of graphs and line graphs of trees by means of Omega Invariant. RACSAM. 2020.
331. Sharma G*, Srivastava G, Mago V. A Framework for Automatic Categorization of Social Data Into Medical Domains. IEEE Transactions on Computational Social Systems. 2019.
332. Baza M*, Lasla N, Mahmoud M, Srivastava G, Abdallah M. B-ride: Ride sharing with privacy-preservation, trust and fair payment atop public blockchain. IEEE Transactions on Network Science and Engineering. 2020.
333. Zhang X, Yang S, Srivastava G, Chen MY, Cheng X. Hybridization of cognitive computing for food services. Applied Soft Computing. 2020 Jan 2:106051.
334. Xu H, Srivastava G. Automatic recognition algorithm of traffic signs based on convolution neural network. Multimedia Tools and Applications. 2020 Jan 6:1-5.
335. Thirumalai C, Mohan S, Srivastava G. An efficient public key secure scheme for cloud and IoT security. Computer Communications. 2020 Jan 15;150:634-43.
336. Jacob Sakhnini*, Reza Parizi, Hadis Karimipour, Ali Dehghantanha, Gautam Srivastava. (2020). Security Aspects of Internet of Things aided Smart Grids: a Bibliometric Survey. Internet of Things. Pages 1-15.
337. Abbas Yazdinejad*, Gautam Srivastava, Reza M. Parizi, Ali Dehghantana, and Kim-Kwang Raymond Choo. (2020). Decentralized Authentication of Distributed Healthcare Hospital Patients via Blockchain. IEEE Journal of Biomedical and Health Informatics.
338. Yuntao Duan, Jiangdai Li, Gautam Srivastava, Jyh-Haw Yeh. (2020). Data Storage Security for Internet of Things. Journal of SuperComputing.
339. Gautam Srivastava, C.N.S. Vinoth Kumar*, V Kavitha, N Parthiban* and Revathi Venkataramanparthiban*. (2019). Two-Stage Data Encryption using Chaotic Neural Networks. Journal of Intelligent and Fuzzy Systems.
340. Wen Si, Gautam Srivastava, Yizhong Zhang, Lei Jiang. (2019). Green Internet of Things Application of a Medical Massage Robot with System Interruption. IEEE Access. 7(1): 127066-127077.
341. Zhaoyue Zhang, Shanmei Li, Gautam Srivastava, Shu-Fen Chiou. (2019). Analysis of Degree Characteristics in Airport Networks. Journal of Ambient Intelligence and Human Computing.
342. Weina Fu, Shuai Liu, Gautam Srivastava. (2019). Optimization of the Data Scheduling Model in Social Networks. Entropy. 21(9): 902-922.
343. Vikrant Singh, Behrouz Zolfaghari*, Gautam Srivastava, Swapnoneel Roy, Takeshi Koshiba. (2019). Generalized M(n,r)-Networks: A Case for Fixed Message Dimensions . IEEE Communication Letters. Vol.. 24, no. 1, pp. 38-42, Jan. 2020.
344. Xiaogang Zhu, Gautam Srivastava, and Reza M. Parizi. (2019). An Efficient Encryption Algorithm for Security of Sensitive Private Information in Cyber-Physical Systems. Electronics. Available Online: 1-16.
345. Ziyuan Tang, Gautam Srivastava, Shuai Liu. (2019). Swarm Intelligence and Ant Colony Optimization in Accounting Model Choices. Journal of Intelligent & Fuzzy Systems.
346. G Thippa Reddy, M Praveen Kumar Reddy, Kuruva Lakshmanna, Dharmendra Singh Rajput, Rajesh Kaluri, Gautam Srivastava. Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis. Evolutionary Intelligence. Springer. 2019.
347. Gaurav Sharma*, Gautam Srivastava, Vijay Mago. (2019). A Machine Learning Framework for Automatic Categorization of Social Data into Medical Domains . IEEE Transactions on Computational Social Systems.
348. Senthilkumar Mohan, Chandrasegar Thirumalai*, and Gautam Srivastava. Effective Heart Disease Prediction using Hybrid Machine Learning Techniques, IEEE Access, 2019.
349. Abbas Yazdinejad*, Hamed Haddadpajouh*, Ali Dehghantanha, Reza M. Parizi, Gautam Srivastava. (2020). Cryptocurrency Malware Hunting: A Deep Recurrent Neural Network (RNN) Approach. Applied Soft Computing.
350. Shahid Mahmood, Gautam Srivastava, H. M. Srivastava, Eman AbuJarad*, Muhammad Arif, and Fazal Ghani. Geometric Properties of Certain Classes of Analytic Functions Associated with a q-integral operator, Symmetry, (11) 6, 764, 2019.
351. Hamid Jan, Amjad Ali, Shahid Mahmood, Gautam Srivastava, and H. M. Srivastava. Statistical Descriptors-based Automatic Fingerprint Identification: Machine Learning Approaches. Submitted. Sensors, 2019.
352. Ndolane Sene and Gautam Srivastava. Generalized Mittag-Leffler input stability of the fractional differential equations. Symmetry, Volume 11(5), Pages 608-620. 2019.
353. Xiaobo Zhang, Fumin Fan*, Mehdi Gheisari*, and Gautam Srivastava. A Novel Auto-focus Method for Image Processing Using Laser Triangulation. IEEE Access, 2019.
354. Ashutosh Dhar Dwivedi*, Pawel Morawiecki, and Gautam Srivastava. Differential Cryptanalysis of Round-Reduced {SPECK} Suitable for Internet of Things Devices. IEEE Access. Volume 7, Pages 16476-16486. 2019.
355. Ashutosh Dhar Dwivedi*, Gautam Srivastava, Shalini Dhar*, and Rajani Singh*. A Decentralized Privacy Preserving Healthcare Blockchain for IoT. Sensors, Volume 19 (2), Pages 1-17, 2019
356. Ashutosh Dhar Dwivedi*, Shalini Dhar*, Gautam Srivastava, and Rajani Singh*. Cryptanalysis of Round-Reduced Fantomas, Robin, and iSCREAM. Cryptography, Volume 3, Special Issue: Authenticated Encryption, Pages 1-11, 2019.
357. Shuai Liu, Weiling Bai, Gautam Srivastava, and J. A. Tenreiro Machado. Property of Self-similarity between Baseband and Modulated Signals. Mobile Networks and Applications (MONET). Accepted: To Appear. 2019
358. Xiao Heng, Gautam Srivastava. Dynamic Monitoring Method of Coconut Red Ring Disease based on Apriori Algorithm. International Journal of Performability Engineering. 2019 Dec 1;15(12):3322.
359. Ashutosh Dhar Dwivedi* and Gautam Srivastava. Differential Cryptanalysis of Round Reduced LEA. IEEE Access. Volume 6, Pages 79105-79113. 2018
360. Doug Pickering, Mykel Shumay*, and Gautam Srivastava. Repeatable Measurement of Twitter User Impact NASA and the Great American Eclipse of 2017. FILOMAT, Volume 32, Pages 114-125, 2018.
361. Mykel Shumay* and Gautam Srivastava. PixSel: Images in Cryptography. An Efficient Implementation using Homophonic Substitution Ciphers. International Journal of Electronics and Telecommunications, Volume 64, Pages 151-158, 2018.
362. Gautam Srivastava, Evan Citulsky*, Kyle Tilbury*, et al. The Effects of Ant Colony Optimization on the Anonymization of Graphs. Journal on Computing (JoC). 5 (1), 92-101, 2016
363. Sean Chester, Bruce M. Kapron, Gautam Srivastava and Srinivasan Venkatesh. Complexity of Social Network Anonymization, Social Network Analysis and Mining (SNAM). 3 (2), Pages 151-166. 2013.
364. Sean Chester, Bruce M. Kapron, Ganesh Ramesh, Gautam Srivastava, Alex Thomo and Srinivasan Venkatesh. Why Waldo Befriended the Dummy? k-Anonymization of Social Networks with Pseudo-Nodes. Social Network Analysis and Mining (SNAM). 3 (3), Pages 381-399, 2013.

Refereed Conference Publications

1. A. Budzik, G. Srivastava and M. Baza, Encryption-based Security in Wearable Devices, 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2023, pp. 1-6, doi: 10.1109/CCNC51644.2023.10059824.
2. S. Shaikh, C. Rupa, G. Srivastava and T. Reddy Gadekallu, Botnet Attack Intrusion Detection In IoT Enabled Automated Guided Vehicles, 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 6332-6336, doi: 10.1109/BigData55660.2022.10020355.
3. A. Kaushik, D. Garg, A. Nehra, R. S. Bali, M. Baza and G. Srivastava, Adaptive Content Forwarding Mechanism for Platoon based Vehicular Named Data Networks, 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 6299-6305, doi: 10.1109/BigData55660.2022.10020959.
4. K. Prokop, D. Połap and G. Srivastava, Neuro-heuristic Pallet Detection for Automated Guided Vehicle Navigation, 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 6325-6331, doi: 10.1109/BigData55660.2022.10020256.
5. Jaszcz, A., Prokop, K., Połap, D., Srivastava, G., Lin, J.CW. (2023). Human-AI Collaboration to Increase the Perception of VR. In: Artificial Intelligence and Soft Computing. ICAISC 2022. Lecture Notes in Computer Science(), vol 13588. Springer, Cham. https://doi.org/10.1007/978-3-031-23492-7_5
6. G. Srivastava, H. Manoharan, T. R. Gadekallu, R. H. Jhaveri, S. Selvarajan and R. Kadiyala, Connotation of Unconventional Drones for Agricultural Applications with Node Arrangements Using Neural Networks, 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London, United Kingdom, 2022, pp. 1-6, doi: 10.1109/VTC2022-Fall57202.2022.10013040.
7. U. Ahmed, J. C. -W. Lin and G. Srivastava, Intrusion Detection and Load Balancing using Active Learning Model in SDVNs, 2022 IEEE Globecom Workshops (GC Wkshps), Rio de Janeiro, Brazil, 2022, pp. 275-279, doi: 10.1109/GCWkshps56602.2022.10008731.
8. M. Amet, D. Manoj, G. Srivastava and J. Crichigno, A Cross-Chain Interoperability Architecture for Smart City Environments, 2022 IEEE Globecom Workshops (GC Wkshps), Rio de Janeiro, Brazil, 2022, pp. 263-268, doi: 10.1109/GCWkshps56602.2022.10008645.
9. W. Iqbal, A. R. Javed, M. Rizwan, G. Srivastava and T. R. Gadekallu, Blockchain Based Secure Communication for IoT Devices in Smart Cities, 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2022, pp. 1-7, doi: 10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927941.
10. B. Janeczko*, D. Pickering and G. Srivastava, Western Hockey League (WHL) Regularized Adjusted Plus-Minus, 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2022, pp. 1-4, doi: 10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927995.
11. Kadry, S., Rajinikanth, V., Srivastava, G., Meqdad, M.N. (2022). Mayfly-Algorithm Selected Features for Classification of Breast Histology Images into Benign/Malignant Class. In: Chbeir, R., Manolopoulos, Y., Prasath, R. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2021. Lecture Notes in Computer Science(), vol 13119. Springer, Cham. https://doi.org/10.1007/978-3-031-21517-9_6
12. Kadry, S., Taniar, D., Meqdad, M.N., Srivastava, G., Rajinikanth, V. (2022). Assessment of Brain Tumor in Flair MRI Slice with Joint Thresholding and Segmentation. In: Chbeir, R., Manolopoulos, Y., Prasath, R. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2021. Lecture Notes in Computer Science(), vol 13119. Springer, Cham. https://doi.org/10.1007/978-3-031-21517-9_5
13. Mohammad Maghsoudimehrabani*, Amin Azmoodeh, Ali Dehghantanha, Behrouz Zolfaghari, and Gautam Srivastava. 2022. Proactive Detection of Query-based Adversarial Scenarios in NLP Systems. In Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security (AISec’22). Association for Computing Machinery, New York, NY, USA, 103–113. https://doi.org/10.1145/3560830.3563727
14. Ahmed U*, Lin JC, Tomasiello S, Srivastava G. An Explainable Mental Health Fuzzy Deep Active Learning Technique. In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2022 Jul 18 (pp. 1-8). IEEE.
15. Yang Y, Wang W, Xu R, Srivastava G, Alazab M, Gadekallu TR, Su C. AoI Optimization for UAV-aided MEC Networks under Channel Access Attacks: A Game Theoretic Viewpoint. In ICC 2022-IEEE International Conference on Communications 2022 May 16 (pp. 1-6). IEEE.
16. Ahmed U*, Lin JC, Srivastava G. Mental Health Treatments Using an Explainable Adaptive Clustering Model. In Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part III 2022 May 10 (pp. 212-222).
17. Usman Ahmed*, Jerry Chun-Wei Lin, and Gautam Srivastava. 2021. Energy-aware Load Balancing in Heterogeneous Environments. In The 5th International Conference on Future Networks & Distributed Systems (ICFNDS 2021). Association for Computing Machinery, New York, NY, USA, 841–847. DOI:https://doi.org/10.1145/3508072.3527499
18.  Shanmugapriya D*, Patel A*, Srivastava G, Lin JC. MQTT Protocol Use Cases in the Internet of Things. In International Conference on Big Data Analytics 2021 Dec 7 (pp. 146-162). Springer, Cham.
19. Patel A*, Shanmugapriya D*, Srivastava G, Lin JC. Routing Protocol Security for Low-Power and Lossy Networks in the Internet of Things. In International Conference on Big Data Analytics 2021 Dec 7 (pp. 133-145). Springer, Cham.
20. Hina M, Ali M, Javed AR, Srivastava G, Gadekallu TR, Jalil Z. Email Classification and Forensics Analysis using Machine Learning. In 2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI) 2021 Oct 18 (pp. 630-635). IEEE.
21. Sarah Plosker and Gautam Srivastava, Cybersecurity Education in Rural Indigenous Canada, 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2021, pp. 1-6, doi: 10.1109/CCECE53047.2021.9569147.
    7. Jimmy Ming-Tai Wu, Zhongcui Li, Youcef Djenouri, Dawid Polap, Gautam Srivastava, Jerry Chun-Wei Lin, A Graphic CNN-LSTM Model for Stock Price Predication. ICAISC (1) 2021: 258-268.
22. Dawid Polap, Gautam Srivastava, Jerry Chun-Wei Lin, Marcin Wozniak, Federated Learning Model with Augmentation and Samples Exchange Mechanism. ICAISC (1) 2021: 214-223.
23. Jimmy Ming-Tai Wu, Gautam Srivastava, Jerry Chun-Wei Lin, Youcef Djenouri, Min Wei, Dawid Polap, Mining of High-Utility Patterns in Big IoT Databases. ICAISC (2) 2021: 205-216.
24. Chiramdasu R, Srivastava G, Bhattacharya S, Reddy PK*, Gadekallu TR*. Malicious URL Detection using Logistic Regression. In2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS) 2021 Aug 23 (pp. 1-6). IEEE.
25. Ahmed U*, Lin JC, Srivastava G. Deep-Attention Model to Analyze Reliable Customers via Federated Learning. In 2021 International Joint Conference on Neural Networks (IJCNN) 2021 Jul 18 (pp. 1-7). IEEE.
26. Rupa C, Srivastava G, Bhattacharya S, Reddy P*, Gadekallu TR*. A Machine Learning Driven Threat Intelligence System for Malicious URL Detection. In The 16th International Conference on Availability, Reliability and Security 2021 (ARES) Aug 17 (pp. 1-7).
27. A. A. Ikram, A. Rehman Javed, M. Rizwan, R. Abid, J. Crichigno and G. Srivastava, Mobile Cloud Computing Framework for Securing Data, 2021 44th International Conference on Telecommunications and Signal Processing (TSP), 2021, pp. 309-315, doi: 10.1109/TSP52935.2021.9522673.
28. Usman Ahmed*, Jerry C. -W. Lin and Gautam Srivastava, Fuzzy Explainable Attention-based Deep Active Learning on Mental-Health Data, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021, pp. 1-6, doi: 10.1109/FUZZ45933.2021.9494423.
29. Fathi Amsaad, Abdul Razaque, Mohamed Baza*, Seluck Kose, Sajal Bhatia, Gautam Srivastava. An Efficient and Reliable Lightweight PUF for IoT-based Applications. In 2021 IEEE International Conference on Communications (ICC) 2021 Jun 14 (pp. 1-6). IEEE.
30. Usman Ahmed, Jerry Lin, Gautam Srivastava, Phillipe Fournier-Viger. A Transaction Classification Model of Federated Learning. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems 2021 Jul 26 (pp. 509-518). Springer, Cham.
31. Jimmy Ming-Tai Wu, Lingyun Sun, Gautam Srivastava, Jerry Lin. A ML-Based Stock Trading Model for Profit Predication. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems 2021 Jul 26 (pp. 554-563). Springer, Cham.
32. Mohammed Aledhari, Rehma Razzak*, Reza M. Parizi, Gautam Srivastava. Sensor Fusion for Drone Detection. In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) 2021 Apr 25 (pp. 1-7). IEEE.
33. Mohammed Aledhari, Rehma Razzak*, Reza M. Parizi, Gautam Srivastava. Multimodal Machine Learning for Pedestrian Detection. In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) 2021 Apr 25 (pp. 1-7). IEEE.
34. Mohamed Baza, Ramy Amer, Amar Rasheed, Gautam Srivastava, Mohamed Mahmoud and Waleed Alasmary, A Blockchain-Based Energy Trading Scheme for Electric Vehicles, 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2021, pp. 1-7, doi: 10.1109/CCNC49032.2021.9369517.
35. Gautam Srivastava, Thippa Reddy G*, N. Deepa, B. Prabadevi, and Praveen Kumar Reddy M*. 2021. An ensemble model for intrusion detection in the Internet of Softwarized Things. In Proceedings of the 2021 International Conference on Distributed Computing and Networking (ICDCN ’21). Association for Computing Machinery, New York, NY, USA, 25–30. DOI:https://doi.org/10.1145/3427477.3429987.
36. Usman Ahmed*, Jerry Chun-Wei Lin, Gautam Srivastava, and Youcef Djenouri. 2021. A Deep Q-Learning Sanitization Approach for Privacy Preserving Data Mining. In Proceedings of the 2021 International Conference on Distributed Computing and Networking (ICDCN ’21). Association for Computing Machinery, New York, NY, USA, 43–48. DOI:https://doi.org/10.1145/3427477.3429990.
37. 10. Jimmy Ming-Tai Wu, Zhongcui Li, Gautam Srivastava, Jerry Chun-Wei Lin, A Tool based on ML-driven Graphical Model for Stock Price Prediction by Leading Indicators, 3rd IFAC Workshop on Cyber-Physical & Human Systems CPHS 2020, Volume 53, Issue 5, 2020, Pages 692-697, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2021.04.219.
38. Jerry Chun-Wei Lin, Gautam Srivastava, Yuanfa Li, Tzung-Pei Hong and Shyue-Liang Wang, Mining High-Utility Sequential Patterns in Uncertain Databases, 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020, pp. 5373-5380, doi: 10.1109/BigData50022.2020.9378089.
39. Jimmy Wu, Gautam Srivastava, Min Wei and Jerry Chun-Wei Lin, Fuzzy High-Utility Pattern Mining based on the Hadoop Framework, 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020, pp. 5413-5420, doi: 10.1109/BigData50022.2020.9377993.
40. Jimmy Wu, Min Wei, Gautam Srivastava and Jerry Chun-Wei Lin, High-Utility Pattern Mining in Hadoop Environments, 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020, pp. 5421-5427, doi: 10.1109/BigData50022.2020.9378467.
41. Abbas Yazdinejad*, Reza M. Parizi, Gautam Srivastava, Ali Dehghantanha, Making Sense of Blockchain for AI Deepfakes Technology. IEEE Global Comminications Conference (GLOBECOM) 2020: 1-6
42. Jimmy Wu, Qian Teng, G. Srivastava, Matin Pirouz and Jerry Chun-Wei Lin, Efficient Mining of Non-Dominated High Quantity-Utility Patterns, 2020 International Conference on Data Mining (ICDM), Sorrento, Italy, 2020, pp. 690-695, doi: 10.1109/ICDMW51313.2020.00097.
43. Hanif Khan, Muhammad Usama Asghar, Muhammad Zubair Asghar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu. Fake Review Classification Using Supervised Machine Learning. 25th Intl. Conference on Pattern Recognition (ICPR) (4) 2020: 269-288
44. Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Gautam Srivastava. Deep Neural Networks for Detecting Real Emotions Using Biofeedback and Voice. 25th Intl. Conference on Pattern Recognition (ICPR) (4) 2020: 302-309.
45. Jimmy Ming-Tai Wu, Gautam Srivastava, Shahab Tayeb, Jerry Chun-Wei Lin. A PSO-Based Sanitization Process with Multi-thresholds Model. 25th Intl. Conference on Pattern Recognition (ICPR) (4) 2020: 439-446
46. Jimmy Wu, Gautam Srivastava, Matin Pirouz and Jerry Chun-Wei Lin, A GA-based Data Sanitization for Hiding Sensitive Information with Multi-Thresholds Constraint, 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), Taipei, Taiwan, 2020, pp. 29-34, doi: 10.1109/ICPAI51961.2020.00013.
47. Jimmy Wu, Zhongcui Li, Gautam Srivastava, Jaroslav Frnda, Vincente Diaz and Jerry Chun-Wei Lin, A CNN-based Stock Price Trend Prediction with Futures and Historical Price, 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), Taipei, Taiwan, 2020, pp. 134-139, doi: 10.1109/ICPAI51961.2020.00032.
48. R. Bhatt, M. Patel, G. Srivastava and V. Mago, A Graph Based Approach to Automate Essay Evaluation, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, 2020, pp. 4379-4385, doi: 10.1109/SMC42975.2020.9282902.
49. A. D. Dwivedi, R. Singh, S. Dhall, G. Srivastava and S. K. Pal, Tracing the Source of Fake News using a Scalable Blockchain Distributed Network, 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), Delhi, India, 2020, pp. 38-43, doi: 10.1109/MASS50613.2020.00015.
50. Ishan Budhiraja, Neeraj Kumar, Mamoun Alazab, Sudhanshu Tyagi, Sudeep Tanwar, and Gautam Srivastava. Energy management scheme for wireless powered D2D users with NOMA underlaying full duplex UAV. In Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond (DroneCom ’20). Association for Computing Machinery, New York, NY, USA, 7–12. DOI:https://doi.org/10.1145/3414045.3415946
51. S. Gopikrishnan, P. Priakanth, Gautam Srivastava, DEDC: Sustainable data communication for cognitive radio sensors in the Internet of Things, 11th International Green and Sustainable Computing Conference (IGSC 2020), Virtual.
52. Jose Gomez, Elie Kfoury*, Jorge Crichigno, Elias Bou-Harb, and Gautam Srivastava. A Performance Evaluation of TCP BBRv2 Alpha. IEEE 43rd International Conference on Telecommunications and Signal Processing (TSP 2020), Milan, 2020.
53. Lucas Leme*, Arthur Medeiros*, Gautam Srivastava, Jorge Crichingo, and Rubens Filho. Secure Cattle Stock Infrastructure for the Internet of Things using Blockchain. IEEE 43rd International Conference on Telecommunications and Signal Processing (TSP 2020), Milan, 2020.
54. Farrah Huntinghawk*, Candace Richard*, Sarah Plosker, Gautam Srivastava. Expanding Cybersecurity Knowledge Through an Indigenous Lens: A First Look. The IEEE Canadian Conference on Electrical and Computer Engineering (CECCE 2020), London, Ontario, 2020.
55. Jimmy Wu, Jerry Lin, Youcef Djenouri, Gautam Srivastava, and Usman Ahmed. Mining Multiple Fuzzy Frequent Patterns with Compressed List Structures. International Conference on Fuzzy Systems (FUZZ IEEE 2020), Glasgow, UK, 2020.
56. Ishan Budhiraja, Neeraj Kumar, Mamoun Alazab, Sudhanshu Tyagi, Sudeep Tanwar, and Gautam Srivastava. Energy management scheme for wireless powered D2D users with NOMA underlaying full duplex UAV. In Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond (DroneCom ’20). Association for Computing Machinery, New York, NY, USA, 7–12. DOI:https://doi.org/10.1145/3414045.3415946
57. Trishma Reddy*, Gautam Srivastava, and Vijay Mago. Testing the Causal Map Builder on Amazon Alexa. 8^th International World Conference on Information Systems and Technologies (WORLD CIST), Montenegro, 2020.
58. Dawid Polap, Gautam Srivastava, and Marcin Wozniak. Multi-agent Architecture for Internet of Medical Things. 19^th International Conference on Artificial Intelligence and Soft Computing (ICAISC). Springer. Zakopane, 2020.
59. Tanvi Barot*, Gautam Srivastava, and Vijay Mago. Determining Sufficient Volume of Data For Analysis With Statistical Framework. The 33rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2020), Japan.
60. Usman Ahmed*, Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava and Suresh Kumar Mukhiya. Mining of the Non-dominated High Expected Utility Patterns from Uncertain Databases. The 33rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2020), Japan.
61. Abbas Yazdinejad*, Reza Parizi, Gautam Srivastava, Ali Dehghantanha, Raymond Choo. Energy Efficient Decentralized Authentication in Internet of Underwater Things using Blockchain, GLOBECOM 2019, Hawaii.
62. Abbas Yazdinejad*, Gautam Srivastava, Reza Parizi, Ali Dehghantanha, Hadis Karimipour, Somayeh Karizoo. SLPoW: Secure Low Latency Proof of Work Protocol for Blockchain in Green IoT Networks, VTC Spring 2020, Belgium.
63. Mohamed Baza*, Mohamed Mahmoud, Gautam Srivastava, Waleed Alasmary, Mohamed Younis. A Light Blockchain Powered Privacy-Preserving Organization Scheme for Ride Sharing Services, VTC Spring 2020, Belgium.
64. Xiaohua Xu, Shuibing He, Meng Han, Reza Parizi, Gautam Srivastava. Budget Feasible Roadside Allocation Unit Mechanism in Vehicular Ad-Hoc Networks, VTC Spring 2020, Belgium.
65. Dawid Polap, Gautam Srivastava, Alireza Jolfaei, Reza Parizi. Blockchain Technology and Neural Networks for the Internet of Medical Things. INFOCOM 2020, Toronto.
66. Lukas Malina, Srivastava G, Petr Dzurenda*, Jan Hajny, Sara Ricci. A Privacy-Enhancing Framework for Internet of Things Services. In the International Conference on Network and System Security 2019 Dec 15 (pp. 77-97). Springer, Cham.
67. Lukas Malina, Gautam Srivastava, and Petr Dzurenda*. A Secure Publish/Subscribe Protocol for Internet of Things. 14^th International Conference on Availability, Reliability and Security (ARES 2019). Canterbury, 2019.
68. Gautam Srivastava, Reza M. Parizi, Ali Dehghantanha, Kim-Kwang Raymond Choo. Data Sharing and Privacy for Patient IoT Devices Using Blockchain. iSCI 2019: 334-348
69. Kyle Clarkson*, Fatma Meawad, Gautam Srivastava. Where’s Waldo?: Finding Users on Twitter. 18^th International Conference on Artificial Intelligence and Soft Computing (ICAISC). Pages 338-349, Springer, Zakopane, 2019.
70. Logan Praznik*, Gautam Srivastava, Chetan Mendhe* and Vijay Mago. Vertex-Weighted Measures for Predicting Links in Hashtag Graphs. 11^th International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Vancouver, 2019.
71. Gautam Srivastava and Shalini Dhar*. A Light Healthcare Blockchain for IoT. The IEEE Canadian Conference on Electrical and Computer Engineering (CECCE 2019), Edmonton, 2019.
72. Gautam Srivastava, Shalini Dhar*, and Ashutosh Dhar Dwivedi*. Blockchain Education. The IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2019), Edmonton, 2019.
73. Gautam Srivastava, Andrew Fisher*, and Robert Bryce. MQTTg: An Android Implementation. IEEE 42^nd International Conference on Telecommunications and Signal Processing (TSP 2019), Budapest, 2019.
74. Ashutosh Dhar Dwivedi*, Lukas Malina, Petr Dzurenda*, and Gautam Srivastava. Blockchain Based Security Model for IoT. IEEE 42^nd International Conference on Telecommunications and Signal Processing (TSP 2019), Budapest, 2019.
75. Elie F. Kfoury, Jorge Crichigno, Elias Bou-Harb, David Khoury, and Gautam Srivastava, Enabling TCP Pacing using Programmable Data Plane Switches. IEEE 42nd International Conference on Telecommunications and Signal Processing (TSP 2019), Budapest, 2019.
76. Gautam Srivastava, Andrew Fisher*, Robert Bryce, Jorge Crichigno. Green Communication with Geolocation. IEEE 89th Vehicular Technology Conference (VTC 2019). Kuala Lumpur, 2019.
77. Ashutosh Dhar Dwivedi*, Rajani Singh*, and Gautam Srivastava. PHANTOM protocol as the new Crypto-democracy. 17^th International Conference on Computer Information Systems and Industrial Management Applications (CISIM), Pages 499-509. Oloumouc, 2018.
78. Rajani Singh*, Ashutosh Dhar Dwivedi*, and Gautam Srivastava. Future of Bitcoin Mining: A Game Theoretic Approach. International Conference on Operational Research (KOI), Pages 47-48, Croatia, 2018.
79. Ashutosh Dhar Dwivedi*, Rajani Singh*, and Gautam Srivastava. Crypto-Democracy: a decentralized voting scheme using blockchain technology. Proceedings of the International Conference on Security and Cryptography (SECRYPT), Pages 508-513, Porto, 2018.
80. Robert Bryce and Gautam Srivastava. The Addition of Geolocation to Sensor Networks. Proceedings of the International Conference on Software Technologies (ICSOFT), Pages 762-768, Porto, 2018.
81. Ashutosh Dhar Dwivedi*, Rajani Singh*, and Gautam Srivastava. A Democratic Future using a decentralized Blockchain voting Scheme. International Central European Conference on Cryptography (CECC), Pages 14-18, Slovakia, 2018.
82. Robert Bryce, Thomas Shaw*, and Gautam Srivastava. Adding Geolocation to the MQTT-G: A Publish/Subscribe Protocol with Geolocation. Proceedings of the 41^st IEEE International Conference on Telecommunications and Signal Processing (TSP), Pages 780-785, Athens, 2018.
83. Gautam Srivastava. Gauging Ecliptic Sentiment. Proceedings of the 41^st IEEE International Conference on Telecommunications and Signal Processing (TSP), Pages 627-631, Athens, 2018.
84. Doug Pickering, Mykel Shumay*, and Gautam Srivastava. Measuring Twitter User Influence Through A Discrete Event (NASA and the Great American Eclipse). Proceedings of Fuzzy Systems and Data Mining (FSDM 2017), Pages 128-138, Hualien, 2017. Awarded Best Oral Presentation for Data Mining Session
85. Gautam Srivastava, Mykel Shumay* and Evan Citulsky*. Social Network Anonymity using Ant Colony Systems. Proceedings of the Computer Gaming and Allied Technology (CGAT), Pages 64-73. Singapore, 2017.
86. Mykel Shumay* and Gautam Srivastava. Images as Book Cipher Keys: An Efficient Means of Secure, Non-Deterministic Cryptography. Proceedings of the International Central European Conference on Cryptography (CECC), Pages 85-86, Warsaw, July 2017.
87. Ashraf Abdelbar, Gautam Srivastava and Kyle Tilbury*. The Effects of Ant Colonization Optimization on k-Anonymization. Proceedings of the Geometric Function Theory and Applications (GFTA), Macedonia, 2015.
88. Chongjie Li, Toshiyuki Amagasa, Hiroyuki Kitagawa and Gautam Srivastava. Label-Bag Based Graph Anonymization via Edge Addition. Proceedings of the International C* Conference on Computer Science & Software Engineering (C3S2E), Pages 95-104. Canada, 2014.
89. Sean Chester and Gautam Srivastava. Social Network Privacy for Attribute Disclosure Attacks. Proceedings of the International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Pages 445-449. Kaohsiung, 2011.
90. Bruce M. Kapron, Gautam Srivastava and S. Venkatesh. Social Network Anonymization via Edge Addition. Proceedings of the International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Pages 155-162. Kaohsiung, 2011.
91. Sean Chester, Bruce M. Kapron, Ganesh Ramesh. Gautam Srivastava, Alex Thomo and S. Venkatesh. k-Anonymization of Social Networks by Vertex Addition. Proceedings of the 15th International Conference on Advances in Databases and Information Systems (ADBIS), Pages 107-116. Vienna, 2011.
92. Jennifer Murdoch, Yvonne Coady, and Gautam Srivastava. SPARCS from the University of Victoria: supporting sustainable and integrated outreach activities for educators and young minds. In IEEE International Conference on Meeting Demand for Engineers and Their Educators 2010-2020, Munich, 2007.

Book Chapters

1. Shah P, Pandya S, Srivastava G, Gadekallu TR. Security and Privacy in smart Internet of Things environments for well-being in the healthcare industry. Medical Information Processing and Security: Techniques and Applications. 2023 Feb 9:307.
2. Janeczko B*, Srivastava G. The use of deep learning in image analysis for the study of oncology. In: Internet of Multimedia Things (IoMT): Techniques and Applications. Elsevier, 2022. Paperback ISBN: 9780323858458.
3. Medeiros A.*, Leme L.*, Srivastava G. (2022) An Introduction to Wearable Sensor Technology. In: Intelligent Internet of Things for Healthcare and Industry. Internet of Things (Technology, Communications and Computing). Springer, Cham. https://doi.org/10.1007/978-3-030-81473-1_9
4. Mokliakova K.*, Srivastava G. (2022) Privacy Issues in Smart IoT for Healthcare and Industry. In: Intelligent Internet of Things for Healthcare and Industry. Internet of Things (Technology, Communications and Computing). Springer, Cham. https://doi.org/10.1007/978-3-030-81473-1_15
5. Mou T.D.*, Srivastava G. (2022) Network Protocols for the Internet of Health Things. In: (eds) Intelligent Internet of Things for Healthcare and Industry. Internet of Things (Technology, Communications and Computing). Springer, Cham. https://doi.org/10.1007/978-3-030-81473-1_2
6. Naseem Alsadi, Hadis Karimipour, Ali Dehghantanha, Gautam Srivastava. (2021) A Recurrent Attention Model for Cyber Attack Classification. In: Karimipour H., Derakhshan F. (eds) AI-Enabled Threat Detection and Security Analysis for Industrial IoT. Springer, Cham. https://doi.org/10.1007/978-3-030-76613-9_13
7. Logan Praznik*, Mohiuddin Md Abdul Qudar*, Chetan Mendhe, Gautam Srivastava, Vijay Mago. Analysis of Link Prediction Algorithms in Hashtag Graphs. In Big Data and Social Media Analytics 2021 (pp. 221-245). Springer, Cham.
8. Amin Azmoodeh*, Ali Dehghantanha, Reza M. Parizi, Sattar Hashemi, Bahram Gharabaghi, Gautam Srivastava. Active Spectral Botnet Detection Based on Eigenvalue Weighting. Handbook of Big Data Privacy. Springer, 2020.
9. Mohammad Mehdi BehradFar*, Hamed HaddadPajouh*, Ali Dehghantanha, Amin Azmoodeh, Hadis Karimipour, Reza M. Parizi, Gautam Srivastava. RAT Hunter: Building Robust Models for Detecting Remote Access Trojans Based on Optimum Hybrid Features. Handbook of Big Data Privacy. Springer, 2020.
10. Mohammad Nassiri*, Hamed HaddadPajouh*, Ali Dehghantanha, Hadis Karimipour, Reza M. Parizi, Gautam Srivastava. Malware Elimination Impact on Dynamic Analysis: An Experimental Machine Learning Approach. Handbook of Big Data Privacy. Springer, 2020.
11. Mahdis Saharkhizan*, Amin Azmoodeh*, Hamed HaddadPajouh*, Ali Dehghantanha, Reza M. Parizi, Gautam Srivastava. A Hybrid Deep Generative Local Metric Learning Method for Intrusion Detection. Handbook of Big Data Privacy. Springer, 2020.
12. Hossein Mohammadi Rouzbahani*, Hadis Karimipour, Gautam Srivastava. Big Data Application for Security of Renewable Energy Resources. Handbook of Big Data Privacy. Springer, 2020.
13. Hossein Mohammadi Rouzbahani*, Hadis Karimipour, Abolfazl Rahimnejad, Ali Dehghantanha, Gautam Srivastava. Anomaly Detection in Cyber-Physical Systems Using Machine Learning. Handbook of Big Data Privacy. Springer, 2020.
14. Mahdi Amrollahi*, Shahrzad Hadayeghparast*, Hadis Karimipour, Farnaz Derakhshan, Gautam Srivastava. Enhancing Network Security Via Machine Learning: Opportunities and Challenges. Handbook of Big Data Privacy. Springer, 2020.
15. William Peters*, Ali Dehghantanha, Reza M. Parizi, Gautam Srivastava. A Comparison of State-of-the-Art Machine Learning Models for OpCode-Based IoT Malware Detection. Handbook of Big Data Privacy. Springer, 2020.
16. Gautam Srivastava, Reza M. Parizi, Ali Dehghantanha. The Future of Blockchain Technology in Healthcare Internet of Things Security. Blockchain Cybersecurity, Trust, and Privacy, In Press: Springer, 2019.
17. Kelly Click*, Amritraj Singh*, Reza M. Parizi, Gautam Srivastava, Ali Dehghantanha. Immutable and Secure IP Address Protection using Blockchain. Blockchain Cybersecurity, Trust, and Privacy, In Press: Springer, 2019.
18. Sean Chester, Bruce M. Kapron, Gautam Srivastava, Venkatesh Srinivasan and Alex Thomo. Anonymization and De-Anonymization of Social Network Data. Encyclopedia of Social Network Analysis and Mining, Volume 2, 1-9, Springer, 2018
19. Sean Chester, Bruce M. Kapron, Gautam Srivastava, Venkatesh Srinivasan and Alex Thomo. Anonymization and De-Anonymization of Social Network Data. Encyclopedia of Social Network Analysis and Mining, Volume 1, 48-56, Springer, 2014

Special Issue Editorials

1. Gautam Srivastava. Foreword: Special issue on blockchain for logistic industry. Applied Stochastic Models Bus Ind. 2021; 37: 389– 390. https://doi.org/10.1002/asmb.2632
   2. M. Tariq, T. Sato, G. Srivastava, V. Marojevic and M. Goldenbaum, IEEE Access Special Section Editorial: Lightweight Security and Provenance for Internet of Health Things, in IEEE Access, vol. 9, pp. 67501-67503, 2021, doi: 10.1109/ACCESS.2021.3074326.
2. Srivastava G, Lin JC, Zhang X, Tseng VS. Guest Editorial: Artificial Intelligence for Securing Industrial-Based Cyber-Physical Systems. IEEE Transactions on Industrial Informatics. 2021 Feb 9.
3. Srivastava G, Lin JC, Pamucar D, Kotsiantis S. Applications of Fuzzy Systems in Data Science and Big Data. IEEE Transactions on Fuzzy Systems. 2020 Dec 30;29(1):1-3.
4. Kumar, V.V., Srivastava, G., Asirvatham, D. and Sikdar, B. (2021), “Guest editorial”, International Journal of Pervasive Computing and Communications, Vol. 17 No. 1, pp. 1-2. https://doi.org/10.1108/IJPCC-02-2021-177
5. Kumar, Priyan Malarvizhi, Pandey, Hari Mohan, and Srivastava, Gautam. Workplace Violence Prevention Using Security Robots. Work. 1 Jan. 2021 : 821 – 823.
6. Gautam Srivastava. Foreword: Special issue on blockchain for logistic industry. Applied Stochastic Models Bus Ind. 2021; 37: 389– 390. https://doi.org/10.1002/asmb.2632.
7. M. Tariq, T. Sato, G. Srivastava, V. Marojevic and M. Goldenbaum, IEEE Access Special Section Editorial: Lightweight Security and Provenance for Internet of Health Things, in IEEE Access, vol. 9, pp. 67501-67503, 2021, doi: 10.1109/ACCESS.2021.3074326.
8. Ching-Hsien Hsu, Gunasekaran Manogaran, Gautam Srivastava and Naveen Chilamkurti, Guest Editorial: 6G-Enabled Network in Box (NIB) for Industrial Applications and Services, in IEEE Transactions on Industrial Informatics, vol. 17, no. 10, pp. 7141-7144, Oct. 2021, doi: 10.1109/TII.2021.3067707
9. Jerry Chun-Wei Lin, Gautam Srivastava, Vincent S. Tseng: Editor’s Note. Int. J. Interact. Multim. Artif. Intell. 6(7): 4 (2021).
10. Jerry Chun-Wei Lin, Nachiketa Sahoo, Gautam Srivastava, Weiping Ding: Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part 1. ACM Trans. Manag. Inf. Syst. 13(1): 1:1-1:3 (2022)
11. Huimin Lu, Xing Xu, Joze Guna, and Gautam Srivastava: Synthetic Media on the Web, World Wide Web, 2022.
12. Gautam Srivastava. The Emergence of Heterogeneous Networks. Advances in Artificial Intelligence and Machine Learning. 2022, Volume 2. 469-470.
13. Andrzej Goscinski, Flavia C. Delicato, Giancarlo Fortino, Anna Kobusińska, Gautam Srivastava, Special issue on Distributed Intelligence at the Edge for the Future Internet of Things, Journal of Parallel and Distributed Computing, Volume 171, 2023, Pages 157-162, ISSN 0743-7315, https://doi.org/10.1016/j.jpdc.2022.09.014.
14. Gautam Srivastava & K. Shankar (2022) Advances in Hyperspectral Remote Sensing for Earth Monitoring and Mapping, Canadian Journal of Remote Sensing, 48:5, 575-578, DOI: 10.1080/07038992.2022.2123625
15. G. Srivastava, G. Li and J. Wen, Message from Data Science and Systems 2022 General Chairs, 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), Hainan, China, 2022, pp. lxxviii-lxxviii, doi: 10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00026.
16. Srivastava G, Lin JC, Gupta N, Sharma DK. Special Issue Editorial on Energy-aware Machine Learning, Cybernetics, and Cognition for Communication Technologies. Sustainable Computing: Informatics and Systems. 2022 Nov 23:100824.
17. Jerry Chun-Wei Lin, Gautam Srivastava, Yu-Dong Zhang, Special Issue Editorial: Advances in Computational Intelligence for Perception and Decision-Making for Autonomous Systems, ISA Transactions, Volume 132, 2023, Pages 1-4, ISSN 0019-0578, https://doi.org/10.1016/j.isatra.2023.01.031.
18. Mumtaz S, Srivastava G, Wei W. Special issue on machine learning-driven big data and blockchain techniques for communication. Digital Communications and Networks. 2023 Feb 1;9(1):1-2.
19. Lin JC, Srivastava G, Wang JF. Guest Editorial Introduction to the Special Issue on AI-Empowered Trajectory Analytics in Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 2023 Mar 29;24(4):4494-8.

Posters

1. Ashutosh Dhar Dwivedi*, Rajani Singh*, and Gautam Srivastava, Energy Consumption in Bitcoin Mining: A Game Theoretic Analysis. The 14^th International Conference on Web and Internet Economics (WINE 2018), Oxford, 2018.

Technical Reports

1. Doug Pickering, Mykel Shumay*, Douglas Spencer and Gautam Srivastava. Eclipse 2017 Livestream – An Evaluation Report for NASA. Palo Alto, CA. 2017.