DDoS Intrusion Detection Through Machine Learning Ensemble S Das, AM Mahfouz, D Venugopal, S Shiva 2019 IEEE 19th International Conference on Software Quality, Reliability and …, 2019 | 105 | 2019 |
Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning M Ashrafuzzaman, S Das, Y Chakhchoukh, S Shiva, FT Sheldon Computers & Security 97, 101994, 2020 | 88 | 2020 |
Interpretable machine learning tools: A survey N Agarwal, S Das 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1528-1534, 2020 | 58 | 2020 |
Empirical evaluation of the ensemble framework for feature selection in ddos attack S Das, D Venugopal, S Shiva, FT Sheldon 2020 7th IEEE International Conference on Cyber Security and Cloud Computing …, 2020 | 44 | 2020 |
Network intrusion detection and comparative analysis using ensemble machine learning and feature selection S Das, S Saha, AT Priyoti, EK Roy, FT Sheldon, A Haque, S Shiva IEEE transactions on network and service management 19 (4), 4821-4833, 2021 | 38 | 2021 |
A holistic approach for detecting ddos attacks by using ensemble unsupervised machine learning S Das, D Venugopal, S Shiva Advances in Information and Communication: Proceedings of the 2020 Future of …, 2020 | 35 | 2020 |
Network intrusion detection using natural language processing and ensemble machine learning S Das, M Ashrafuzzaman, FT Sheldon, S Shiva 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 829-835, 2020 | 26 | 2020 |
Taxonomy and survey of interpretable machine learning method S Das, N Agarwal, D Venugopal, FT Sheldon, S Shiva 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 670-677, 2020 | 21 | 2020 |
Elliptic envelope based detection of stealthy false data injection attacks in smart grid control systems M Ashrafuzzaman, S Das, AA Jillepalli, Y Chakhchoukh, FT Sheldon 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1131-1137, 2020 | 17 | 2020 |
CoRuM: Collaborative Runtime Monitor Framework for Application Security S Das, S Shiva 2018 IEEE/ACM International Conference on Utility and Cloud Computing …, 2018 | 11 | 2018 |
A Stealth Migration Approach to Moving Target Defense in Cloud Computing S Das, AM Mahfouz, S Shiva Proceedings of the Future Technologies Conference 1069, 394-410, 2019 | 10 | 2019 |
Detection and Explanation of Distributed Denial of Service (DDoS) Attack Through Interpretable Machine Learning S Das The University of Memphis, 2021 | 8 | 2021 |
Machine learning application lifecycle augmented with explanation and security S Das, S Shiva 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile …, 2021 | 7 | 2021 |
Ddos explainer using interpretable machine learning S Das, N Agarwal, S Shiva 2021 IEEE 12th Annual Information Technology, Electronics and Mobile …, 2021 | 5 | 2021 |
Securing IoT devices using ensemble machine learning in smart home management system RR Das, B Krishnamurthy, S Das 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 915-922, 2022 | 2 | 2022 |
State of the art: Security Testing of Machine Learning Development Systems S Das, B Krishnamurthy, RR Das, SG Shiva 2024 IEEE 14th Annual Computing and Communication Workshop and Conference …, 2024 | 1 | 2024 |
MVE-based Reinforcement Learning Framework with Explainability for improving Quality of Experience of Application Placement in Fog Computing B Krishnamurthy, SG Shiva, S Das 2022 IEEE World AI IoT Congress (AIIoT), 084-090, 2022 | 1 | 2022 |
Trusting Classifiers with Interpretable Machine Learning Based Feature Selection Backpropagation S Das, RR Das, FT Sheldon, S Shiva 2024 IEEE 14th Annual Computing and Communication Workshop and Conference …, 2024 | | 2024 |
Explainability of Artificial Intelligence Systems: A Survey M Hossain, S Das, B Krishnamurthy, SG Shiva 2023 International Symposium on Networks, Computers and Communications …, 2023 | | 2023 |
Requirements Elicitation and Stakeholder Communications for Explainable Machine Learning Systems: State of the Art S Das, M Hossain, SG Shiva 2023 International Conference on Information Technology (ICIT), 561-566, 2023 | | 2023 |