Saikat Das

29 papers C 1Journal 8Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
A hybrid deep learning model for adversarially resilient Internet traffic prediction.
Comput. Electr. Eng.
Sajal Saha, Saikat Das, Glaucio H. S. Carvalho
2025 J jnl
A comparative analysis of machine learning techniques for detecting probing attack with SHAP algorithm.
Expert Syst. Appl.
Fazla Rabbi, Niamat Ullah Ibne Hossain, Saikat Das
2024 — conf
ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetry.
VCC
Sajal Saha, Saikat Das, Glaucio H. S. Carvalho
2024 J jnl
ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetry.
CoRR
Sajal Saha, Saikat Das, Glaucio H. S. Carvalho
2024 — conf
Enhancing Microgrid Resilience to False Data Injection.
SmartGridComm
Saikat Das, Zhifang Wang
2024 J jnl
Ensembling Supervised and Unsupervised Machine Learning Algorithms for Detecting Distributed Denial of Service Attacks.
Algorithms
Saikat Das, Mohammad Ashrafuzzaman, Frederick T. Sheldon, Sajjan G. Shiva
2024 — conf
State of the art: Security Testing of Machine Learning Development Systems.
CCWC
Saikat Das, Bhargavi Krishnamurthy, Raktim Ranjan Das, Sajjan G. Shiva
2024 — conf
Trusting Classifiers with Interpretable Machine Learning Based Feature Selection Backpropagation.
CCWC
Saikat Das, Raktim Ranjan Das, Frederick T. Sheldon, Sajjan G. Shiva
2023 — conf
Classification of lung cancer from histopathology Images using a Deep Ensemble Classifier.
IST
Onkar Singh, Koushlendra Kumar Singh, Saikat Das, Akbar Sheikh Akbari, Nurulfajar Abd Manap
2023 C conf
Explainability of Artificial Intelligence Systems: A Survey.
ISNCC
Mazharul Hossain, Saikat Das, Bhargavi Krishnamurthy, Sajjan G. Shiva
2023 — conf
Handling Node Discovery Problem in Fog Computing using Categorical51 Algorithm With Explainability.
AIIoT
Bhargavi Krishnamurthy, Sajjan G. Shiva, Saikat Das
2023 — conf
Optimizing Microgrid Energy Management Systems with Variable Renewable Energy Penetration: Analysis of Data Loss Effects.
FTC (2)
Saikat Das, Zhifang Wang
2023 J jnl
Predicting the outbreak of epidemics using a network-based approach.
Eur. J. Oper. Res.
Saikat Das, Indranil Bose, Uttam Kumar Sarkar
2023 — conf
Requirements Elicitation and Stakeholder Communications for Explainable Machine Learning Systems: State of the Art.
ICIT
Saikat Das, Mazharul Hossain, Sajjan G. Shiva
2022 — conf
Cascading Failure Risk Analysis of Electrical Power Grid.
FTC (1)
Saikat Das, Zhifang Wang
2022 — conf
MVE-based Reinforcement Learning Framework with Explainability for improving Quality of Experience of Application Placement in Fog Computing.
AIIoT
Bhargavi Krishnamurthy, Sajjan G. Shiva, Saikat Das
2022 J jnl
Network Intrusion Detection and Comparative Analysis Using Ensemble Machine Learning and Feature Selection.
IEEE Trans. Netw. Serv. Manag.
Saikat Das, Sajal Saha, Annita Tahsin Priyoti, Etee Kawna Roy, Frederick T. Sheldon, Anwar Haque, Sajjan G. Shiva
2022 — conf
Securing IoT devices using Ensemble Machine Learning in Smart Home Management System.
SSCI
Raktim Ranjan Das, Bhargavi Krishnamurthy, Saikat Das
2021 — conf
Machine Learning application lifecycle augmented with explanation and security.
UEMCON
Saikat Das, Sajjan G. Shiva
2020 J jnl
Application of the Mixture of Lognormal Distribution to Represent the First-Order Statistics of Wireless Channels.
IEEE Syst. J.
Saikat Das, Amitabha Bhattacharya
2020 J jnl
Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning.
Comput. Secur.
Mohammad Ashrafuzzaman, Saikat Das, Yacine Chakhchoukh, Sajjan G. Shiva, Frederick T. Sheldon
2020 — conf
Elliptic Envelope Based Detection of Stealthy False Data Injection Attacks in Smart Grid Control Systems.
SSCI
Mohammad Ashrafuzzaman, Saikat Das, Ananth A. Jillepalli, Yacine Chakhchoukh, Frederick T. Sheldon
2020 — conf
Empirical Evaluation of the Ensemble Framework for Feature Selection in DDoS Attack.
CSCloud/EdgeCom
Saikat Das, Deepak Venugopal, Sajjan G. Shiva, Frederick T. Sheldon
2020 — conf
Interpretable Machine Learning Tools: A Survey.
SSCI
Namita Agarwal, Saikat Das
2020 — conf
Network Intrusion Detection using Natural Language Processing and Ensemble Machine Learning.
SSCI
Saikat Das, Mohammad Ashrafuzzaman, Frederick T. Sheldon, Sajjan G. Shiva
2020 — conf
Taxonomy and Survey of Interpretable Machine Learning Method.
SSCI
Saikat Das, Namita Agarwal, Deepak Venugopal, Frederick T. Sheldon, Sajjan G. Shiva
2019 — conf
DDoS Intrusion Detection Through Machine Learning Ensemble.
QRS Companion
Saikat Das, Ahmed M. Mahfouz, Deepak Venugopal, Sajjan G. Shiva
2018 — conf
CoRuM: Collaborative Runtime Monitor Framework for Application Security.
UCC Companion
Sajjan G. Shiva, Saikat Das
2016 — conf
CLOUBEX: A Cloud-Based Security Analysis Framework for Browser Extensions.
HASE
Saikat Das, Mohammad Zulkernine