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Saikat Das
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 24
Top Topics
Intrusion Detection
Empirical Evaluation
Smart Grid
Ensemble Classifier
Top Venues
SSCI
CCWC
AIIoT
IEEE Trans. Netw. Serv. Manag.
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Publications
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Saikat Das
,
Raktim Ranjan Das
,
Frederick T. Sheldon
,
Sajjan G. Shiva
Trusting Classifiers with Interpretable Machine Learning Based Feature Selection Backpropagation.
CCWC
(2024)
Saikat Das
,
Bhargavi Krishnamurthy
,
Raktim Ranjan Das
,
Sajjan G. Shiva
State of the art: Security Testing of Machine Learning Development Systems.
CCWC
(2024)
Saikat Das
,
Mohammad Ashrafuzzaman
,
Frederick T. Sheldon
,
Sajjan G. Shiva
Ensembling Supervised and Unsupervised Machine Learning Algorithms for Detecting Distributed Denial of Service Attacks.
Algorithms
17 (3) (2024)
Bhargavi Krishnamurthy
,
Sajjan G. Shiva
,
Saikat Das
Handling Node Discovery Problem in Fog Computing using Categorical51 Algorithm With Explainability.
AIIoT
(2023)
Saikat Das
,
Indranil Bose
,
Uttam Kumar Sarkar
Predicting the outbreak of epidemics using a network-based approach.
Eur. J. Oper. Res.
309 (2) (2023)
Saikat Das
,
Zhifang Wang
Optimizing Microgrid Energy Management Systems with Variable Renewable Energy Penetration: Analysis of Data Loss Effects.
FTC (2)
(2023)
Mazharul Hossain
,
Saikat Das
,
Bhargavi Krishnamurthy
,
Sajjan G. Shiva
Explainability of Artificial Intelligence Systems: A Survey.
ISNCC
(2023)
Onkar Singh
,
Koushlendra Kumar Singh
,
Saikat Das
,
Akbar Sheikh Akbari
,
Nurulfajar Abd Manap
Classification of lung cancer from histopathology Images using a Deep Ensemble Classifier.
IST
(2023)
Saikat Das
,
Mazharul Hossain
,
Sajjan G. Shiva
Requirements Elicitation and Stakeholder Communications for Explainable Machine Learning Systems: State of the Art.
ICIT
(2023)
Bhargavi Krishnamurthy
,
Sajjan G. Shiva
,
Saikat Das
MVE-based Reinforcement Learning Framework with Explainability for improving Quality of Experience of Application Placement in Fog Computing.
AIIoT
(2022)
Saikat Das
,
Sajal Saha
,
Annita Tahsin Priyoti
,
Etee Kawna Roy
,
Frederick T. Sheldon
,
Anwar Haque
,
Sajjan G. Shiva
Network Intrusion Detection and Comparative Analysis Using Ensemble Machine Learning and Feature Selection.
IEEE Trans. Netw. Serv. Manag.
19 (4) (2022)
Saikat Das
,
Zhifang Wang
Cascading Failure Risk Analysis of Electrical Power Grid.
FTC (1)
(2022)
Raktim Ranjan Das
,
Bhargavi Krishnamurthy
,
Saikat Das
Securing IoT devices using Ensemble Machine Learning in Smart Home Management System.
SSCI
(2022)
Saikat Das
,
Sajjan G. Shiva
Machine Learning application lifecycle augmented with explanation and security.
UEMCON
(2021)
Mohammad Ashrafuzzaman
,
Saikat Das
,
Yacine Chakhchoukh
,
Sajjan G. Shiva
,
Frederick T. Sheldon
Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning.
Comput. Secur.
97 (2020)
Saikat Das
,
Amitabha Bhattacharya
Application of the Mixture of Lognormal Distribution to Represent the First-Order Statistics of Wireless Channels.
IEEE Syst. J.
14 (3) (2020)
Namita Agarwal
,
Saikat Das
Interpretable Machine Learning Tools: A Survey.
SSCI
(2020)
Saikat Das
,
Deepak Venugopal
,
Sajjan G. Shiva
,
Frederick T. Sheldon
Empirical Evaluation of the Ensemble Framework for Feature Selection in DDoS Attack.
CSCloud/EdgeCom
(2020)
Mohammad Ashrafuzzaman
,
Saikat Das
,
Ananth A. Jillepalli
,
Yacine Chakhchoukh
,
Frederick T. Sheldon
Elliptic Envelope Based Detection of Stealthy False Data Injection Attacks in Smart Grid Control Systems.
SSCI
(2020)
Saikat Das
,
Mohammad Ashrafuzzaman
,
Frederick T. Sheldon
,
Sajjan G. Shiva
Network Intrusion Detection using Natural Language Processing and Ensemble Machine Learning.
SSCI
(2020)
Saikat Das
,
Namita Agarwal
,
Deepak Venugopal
,
Frederick T. Sheldon
,
Sajjan G. Shiva
Taxonomy and Survey of Interpretable Machine Learning Method.
SSCI
(2020)
Saikat Das
,
Ahmed M. Mahfouz
,
Deepak Venugopal
,
Sajjan G. Shiva
DDoS Intrusion Detection Through Machine Learning Ensemble.
QRS Companion
(2019)
Sajjan G. Shiva
,
Saikat Das
CoRuM: Collaborative Runtime Monitor Framework for Application Security.
UCC Companion
(2018)
Saikat Das
,
Mohammad Zulkernine
CLOUBEX: A Cloud-Based Security Analysis Framework for Browser Extensions.
HASE
(2016)