Shamik Sengupta

University of Nevada, Reno — United States

Computer Science · Physical Sciences

29h-index3.2kcitations230works3.12yr avg
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Research Topics

Network Security and Intrusion Detection(68), Advanced Malware Detection Techniques(36), Cognitive Radio Networks and Spectrum Sensing(30), Information and Cyber Security(24), Smart Grid Security and Resilience(22)

Publications229 total

Federated Learning-Based Anomaly Detection Approach for High-Performance Research Networks
2025
Identifying Homogeneous IoT Devices With Hybrid Locality-Sensitive Hashing
IEEE Internet of Things Journal·2025
Vulnerabilities of Machine Learning Algorithms to Adversarial Attacks for Cyber‐Physical Power Systems
2025· 1 citedOpen Access
Unveiling Bb84 Vulnerabilities: A Quantum Key Distribution Simulation Library
2025· 1 cited
Bringing to Light: Adversarial Poisoning Detection for ML-Based IDS in Software-Defined Networks
IEEE Transactions on Network Science and Engineering·2024· 3 cited
Poisoning the Well: Adversarial Poisoning on ML-Based Software-Defined Network Intrusion Detection Systems
IEEE Transactions on Network Science and Engineering·2024· 4 cited
GCAP: Cyber Attack Progression Framework for Smart Grid Infrastructures
IEEE Internet of Things Journal·2024
A Cybersecurity Game to Probe Human-AI Teaming
2024· 5 cited
Systematic Analysis of Individuals’ Perspectives on Cybersecurity Using Q Methodology: Implications for Research and Application in Behavior Analysis
Behavior and Social Issues·2024· 2 cited
Telling Apart: ML Framework Towards Cyber Attack and Fault Differentiation in Microgrids
2024· 1 cited
Image Forgery Detection Using Convolutional Neural Networks
2024· 7 cited
Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games
IEEE Transactions on Smart Grid·2024· 18 cited
Feature Selection Using the Advanced Shapley Value
2024· 4 cited
Introduction to Quantum Systems and Security Vulnerabilities
2024
FlexHash - Hybrid Locality Sensitive Hashing for IoT Device Identification
2024· 1 cited
Game Theory for Privacy-Preserving Cybersecurity Information Exchange Framework
2024· 2 cited
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection
2023· 16 cited
Digital Twins for Moving Target Defense Validation in AC Microgrids
2023· 1 citedOpen Access
N-Player Cybersecurity Game Theory Model in Power Grids
2023
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection
arXiv (Cornell University)·2023· 1 citedOpen Access
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Frequent Co-authors

Mainak Chatterjee(12), Shahriar Badsha(12), Iman Vakilinia(10), Deepak K. Tosh(8), Ibrahim Khalil(6), Raj Mani Shukla(6), Charles Kamhoua(5), Samrat Ganguly(4), K. P. Subbalakshmi(4), Kevin A. Kwiat(4), Sowmya Kudva(3), Mohammed Atiquzzaman(3), R. Chandramouli(3), Hung Manh La(2), Andrew Martin(2), Swastik Brahma(2), Paulo Alexandre Regis(2), Shafkat Islam(2), Farhan Sadique(2), Yi-Fei Tan(2)