Folgen
Saikat Das
Saikat Das
Assistant Professor, Utah Valley University. Ph.D. in Computer Science, University of Memphis
Bestätigte E-Mail-Adresse bei uvu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
982019
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
842020
Interpretable machine learning tools: A survey
N Agarwal, S Das
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1528-1534, 2020
562020
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
432020
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
342020
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
322021
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
252020
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
192020
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
162020
CoRuM: Collaborative Runtime Monitor Framework for Application Security
S Das, S Shiva
2018 IEEE/ACM International Conference on Utility and Cloud Computing …, 2018
112018
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
102019
Detection and Explanation of Distributed Denial of Service (DDoS) Attack Through Interpretable Machine Learning
S Das
The University of Memphis, 2021
82021
Machine learning application lifecycle augmented with explanation and security
S Das, S Shiva
2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile …, 2021
72021
Ddos explainer using interpretable machine learning
S Das, N Agarwal, S Shiva
2021 IEEE 12th Annual Information Technology, Electronics and Mobile …, 2021
52021
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
22022
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
12024
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
12022
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20