Research Interests...

Still, I am an active member of GTCS Lab under the supervison of Dr. Sajjan Shiva. I also work with my other two co-supervisors Dr. Federick T. Sheldon and Dr. Deepak Venugopal in multiple research works. I establish a research group Cyber Security and Machine Learning (CSML) and working on several projects. My reserach interests include but are not limited to, Interpretable Machine Learning, Cyber Security, Intrusion Detection System, Anomaly Detection, Machine Learning, Moving Target Defense, Cloud Computing, Run Time Monitoring System, etc.

Recent Publications....

1. Das, Saikat, et al. Network Intrusion Detection and Comparative Analysis using Ensemble Machine Learning and Feature Selection. IEEE Transactions on Network and Service Management (2022).
2. Das, Saikat and Sajjan Shiva "Machine Learning Application Lifecycle Augmented With Explanation and Security 2021 IEEE 12th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON). IEEE, 2021.
3. Das, Saikat and Sajjan Shiva "DDoS Explainer using Interpretable Machine Learning 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2021.
4. Dissertation Das, Saikat. Detection and Explanation of Distributed Denial of Service (DDoS) Attack Through Interpretable Machine Learning. Diss. The University of Memphis, 2021.
5. Das, Saikat, Mohammad Ashrafuzzaman, Sajjan Shiva, and Frederick T. Sheldon."Network Intrusion Detection using Natural Language Processing and Ensemble Machine Learning 2020 IEEE Symposium Series on Computational Intelligence. IEEE, 2020.
6. Das, Saikat, Deepak Venugopal, Sajjan Shiva, and Frederick T. Sheldon. "Taxonomy and Survey of Interpretable Machine Learning Method" 2020 IEEE Symposium Series on Computational Intelligence. IEEE, 2020.
7. Agarwal, Namita and Saikat Das "Interpretable Machine Learning Tools: A Survey" 2020 IEEE Symposium Series on Computational Intelligence. IEEE, 2020.
8. Ashrafuzzaman, Mohammad, Saikat Das, Yacine Chakhchoukh, and Frederick T. Sheldon. "Elliptic Envelope Based Detection of Stealthy False Data Injection Attacks in Smart Grid Control Systems" 2020 IEEE Symposium Series on Computational Intelligence. IEEE, 2020.
9. Das, Saikat, Deepak Venugopal, Sajjan Shiva, and Frederick T. Sheldon."Empirical Evaluation of the Ensemble Framework for Feature Selection in DDoS Attack." 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom). IEEE, 2020.
   
10. Ashrafuzzaman, Mohammad, Saikat Das, Yacine Chakhchoukh, Salahaldeen Duraibi, Sajjan Shiva, and Frederick T. Sheldon. "Supervised Learning for Detecting Stealthy False Data Injection Attacks in the Smart Grid" In Proceedings of the International Conference on Security and Management, SAM'20, July 2020, Las Vegas, USA.
    
11. Ashrafuzzaman, Mohammad, Saikat Das, Yacine Chakhchoukh, Sajjan Shiva, and Frederick T. Sheldon. ""Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning." Computers & Security 97 (2020): 101994.
    
12. Das, Saikat, Deepak Venugopal, and Sajjan Shiva. "A Holistic Approach for Detecting DDoS Attacks by Using Ensemble Unsupervised Machine Learning." Future of Information and Communication Conference. Springer, Cham, 2020.
13. Das, Saikat, et al. "DDoS Intrusion Detection Through Machine Learning Ensemble." 2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2019.
14. Das, Saikat, Ahmed M. Mahfouz, and Sajjan Shiva. "A Stealth Migration Approach to Moving Target Defense in Cloud Computing." Proceedings of the Future Technologies Conference. Springer, Cham, 2019.
15. Das, Saikat, and Sajjan Shiva. "CoRuM: collaborative runtime monitor framework for application security." 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion). IEEE, 2018.
16. Mesbah-Ul-Awal, Md, Muhammad Sheikh Sadi, and Saikat Das. "Component Criticality Analysis: An Efficient Approach towards Minimizing the Risks of System Software Failure." Physical Science International Journal (2014): 231-245.
17. Mesbah-Ul-Awal, Md, and Saikat Das. "Component Criticality Approach towards Minimizing the Risks of System Failure." 2013 Third International Conference on Advanced Computing and Communication Technologies (ACCT). IEEE, 2013.

Services

I am an active member of several technical committees including IEEE, Elsevier, ACM, etc. societies. My details list of reviews can be found in Publons

List of Services....

1. Session Chair and Technical Committee Member
   IEEE 12th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (IEEE UEMCON), 2021.
2. Session Chair and Technical Committee Member
   IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEEE UEMCON), 2021.
3. Reviewer, Elsevier Computer & Security, 2020-2021.
4. Reviewer, IEEE Open Journal of the Communications Society, 2021.
5. Reviewer, IEEE International Conference on Communications, Network, and Satellite, 2020-2021.
6. Reviewer, Elsevier Journal of Information Security and Applications, 2020-2021.
7. Reviewer, Elsevier International Journal of Electrical Power & Energy Systems, 2020-2021.
8. Reviewer, The 4th International Conference on Mechanical, Electric and Industrial Engrineering, 2020.
9. Reviewer, IEEE International Conference on Industry 4.0, AI and Communications Techology, 2020.
10. Reviewer, IEEE International Conference on Signals and Systems, ICSigSys, 2020.
11. Event Supervisor, Codebusters, Science Olympiad, Memphis, TN, 2020.

About Me...

Self motivation, adaptive interpersonal skill, proficient professional development skill, teaching and research experience.