Saikat Das

According to our database, Saikat Das authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Ensembling Supervised and Unsupervised Machine Learning Algorithms for Detecting Distributed Denial of Service Attacks.

Saikat Das, Mohammad Ashrafuzzaman, Frederick T. Sheldon, Sajjan G. Shiva

Algorithms, March, 2024

ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetry.

Sajal Saha, Saikat Das, Glaucio H. S. Carvalho

CoRR, 2024

Enhancing Microgrid Resilience to False Data Injection.

Saikat Das, Zhifang Wang

Proceedings of the IEEE International Conference on Communications, 2024

State of the art: Security Testing of Machine Learning Development Systems.

Saikat Das, Bhargavi Krishnamurthy, Raktim Ranjan Das, Sajjan G. Shiva

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

Trusting Classifiers with Interpretable Machine Learning Based Feature Selection Backpropagation.

Saikat Das, Raktim Ranjan Das, Frederick T. Sheldon, Sajjan G. Shiva

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023

Predicting the outbreak of epidemics using a network-based approach.

Saikat Das, Indranil Bose, Uttam Kumar Sarkar

Eur. J. Oper. Res., September, 2023

Classification of lung cancer from histopathology Images using a Deep Ensemble Classifier.

Onkar Singh, Koushlendra Kumar Singh, Saikat Das, Akbar Sheikh Akbari, Nurulfajar Abd Manap

Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2023

Explainability of Artificial Intelligence Systems: A Survey.

Mazharul Hossain, Saikat Das, Bhargavi Krishnamurthy, Sajjan G. Shiva

Proceedings of the International Symposium on Networks, Computers and Communications, 2023

Requirements Elicitation and Stakeholder Communications for Explainable Machine Learning Systems: State of the Art.

Saikat Das, Mazharul Hossain, Sajjan G. Shiva

Proceedings of the International Conference on Information Technology, 2023

Optimizing Microgrid Energy Management Systems with Variable Renewable Energy Penetration: Analysis of Data Loss Effects.

Saikat Das, Zhifang Wang

Proceedings of the Future Technologies Conference, 2023

Handling Node Discovery Problem in Fog Computing using Categorical51 Algorithm With Explainability.

Bhargavi Krishnamurthy, Sajjan G. Shiva, Saikat Das

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022

Network Intrusion Detection and Comparative Analysis Using Ensemble Machine Learning and Feature Selection.

Saikat Das, Sajal Saha, Annita Tahsin Priyoti, Etee Kawna Roy, Frederick T. Sheldon, Anwar Haque, Sajjan G. Shiva

IEEE Trans. Netw. Serv. Manag., December, 2022

Securing IoT devices using Ensemble Machine Learning in Smart Home Management System.

Raktim Ranjan Das, Bhargavi Krishnamurthy, Saikat Das

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Cascading Failure Risk Analysis of Electrical Power Grid.

Saikat Das, Zhifang Wang

Proceedings of the Future Technologies Conference, 2022

MVE-based Reinforcement Learning Framework with Explainability for improving Quality of Experience of Application Placement in Fog Computing.

Bhargavi Krishnamurthy, Sajjan G. Shiva, Saikat Das

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2021

Machine Learning application lifecycle augmented with explanation and security.

Saikat Das, Sajjan G. Shiva

Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

2020

Application of the Mixture of Lognormal Distribution to Represent the First-Order Statistics of Wireless Channels.

Saikat Das, Amitabha Bhattacharya

IEEE Syst. J., 2020

Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning.

Mohammad Ashrafuzzaman, Saikat Das, Yacine Chakhchoukh, Sajjan G. Shiva, Frederick T. Sheldon

Comput. Secur., 2020

Taxonomy and Survey of Interpretable Machine Learning Method.

Saikat Das, Namita Agarwal, Deepak Venugopal, Frederick T. Sheldon, Sajjan G. Shiva

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Network Intrusion Detection using Natural Language Processing and Ensemble Machine Learning.

Saikat Das, Mohammad Ashrafuzzaman, Frederick T. Sheldon, Sajjan G. Shiva

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Elliptic Envelope Based Detection of Stealthy False Data Injection Attacks in Smart Grid Control Systems.

Mohammad Ashrafuzzaman, Saikat Das, Ananth A. Jillepalli, Yacine Chakhchoukh, Frederick T. Sheldon

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Interpretable Machine Learning Tools: A Survey.

Namita Agarwal, Saikat Das

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Empirical Evaluation of the Ensemble Framework for Feature Selection in DDoS Attack.

Saikat Das, Deepak Venugopal, Sajjan G. Shiva, Frederick T. Sheldon

Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020

2019

DDoS Intrusion Detection Through Machine Learning Ensemble.

Saikat Das, Ahmed M. Mahfouz, Deepak Venugopal, Sajjan G. Shiva

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

2018

CoRuM: Collaborative Runtime Monitor Framework for Application Security.

Sajjan G. Shiva, Saikat Das

Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

2016

CLOUBEX: A Cloud-Based Security Analysis Framework for Browser Extensions.

Saikat Das, Mohammad Zulkernine

Proceedings of the 17th IEEE International Symposium on High Assurance Systems Engineering, 2016