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Tapadhir Das
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UNR-IDD: Intrusion Detection Dataset using Network Port Statistics
T Das, O Abu Hamdan, R Shukla, S Sengupta, E Arslan
2023 IEEE Consumer Communications and Networking Conference, 2023
142023
The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks
T Das, R Shukla, S Sengupta
2021 IEEE 20th International Symposium on Network Computing and Applications, 2021
92021
Flood Control: TCP-SYN Flood Detection for Software-Defined Networks using OpenFlow Port Statistics
T Das, O Abu Hamdan, S Sengupta, E Arlsan
2022 IEEE International Conference on Cyber Security and Resilience, 2022
72022
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection
L Rajesh, T Das, R Shukla, S Sengupta
2023 IEEE 22nd International Conference on Trust, Security and Privacy in …, 2023
62023
Think Smart, Play Dumb: Analyzing Deception in Hardware Trojan Detection Using Game Theory
T Das, AR Eldosouky, S Sengupta
2020 International Conference on Cyber Security and Protection of Digital …, 2020
62020
Casting a Wide Net: An Internet of Things Testbed for Cybersecurity Education and Research
J Thom, T Das, B Shrestha, S Sengupta, E Arslan
2021 International Symposium on Performance Evaluation of Computer and …, 2021
52021
Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data
T Das, R Shukla, S Sengupta
2021 IEEE 7th World Forum on Internet of Things, 2021
42021
Less is More: Deep Learning Framework for Digital Forensics in Resource-Constrained Environments
S Rath, T Das, I Astaburuaga, S Sengupta
2023 11th International Symposium on Digital Forensics and Security, 2023
32023
Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games
S Rath, T Das, S Sengupta
IEEE Transactions on Smart Grid, 2024
22024
Poisoning the well: Adversarial poisoning on ML-based software-defined network intrusion detection systems
T Das, R Shukla, S Sengupta
Authorea Preprints, 2023
22023
Eyes on the Road: A Survey on Cyber Attacks and Defense Solutions for Vehicular Ad-Hoc Networks
A Hankins, T Das, S Sengupta, D Feil-Seifer
2023 IEEE Computing and Communication Workshop and Conference, 2023
22023
What Could Possibly Go Wrong?: Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things
T Das, R Shukla, S Sengupta
IEEE Network Magazine, 2022
22022
Ohana Means Family: Malware Family Classification using Extreme Learning Machines
A Walker, R Shukla, T Das, S Sengupta
2022 IEEE Consumer Communications and Networking Conference, 2022
22022
Friend or Foe: Discerning Benign vs Malicious Software and Malware Family
A Walker, T Das, RM Shukla, S Sengupta
2021 IEEE Global Communications Conference: Communication \& Information …, 2021
22021
Sharing is Caring: Optimized Threat Visualization for a Cybersecurity Data Sharing Platform
A Cassell, T Das, Z Black, F Sadique, J Schnebly, S Dascalu, S Sengupta, ...
2021 IEEE 20th International Symposium on Network Computing and Applications, 2021
12021
Decentralized Privacy-Preserving Federated Learning for Ultrasonic Nerve Image Segmentation
G Vinjamuri, SC Nayak, R Sahu, RM Shukla, T Das
2024
Evaluation of Ensemble Learning for Mitigating Adversarial Attacks in Industrial Object Detection
S Pulijala, S Shahin, T Das, RM Shukla
Authorea Preprints, 2024
2024
Small, but Mighty: Lightweight ML-enabled Intrusion Detection Framework for Vehicular Ad-Hoc Networks
M Dinh, M Patel, T Das, R Shukla
2024 IEEE 3rd World Conference on Applied Intelligence and Computing, 2024
2024
Vulnerabilities of Machine Learning Algorithms to Adversarial Attacks for Cyber-Physical Power Systems
T Das, RM Shukla, M Ben-Idris, S Sengupta
Smart Cyber-Physical Power Systems: Challenges and Solutions, 2024
2024
Telling Apart: ML Framework Towards Cyber Attack and Fault Differentiation in Microgrids
T Das, S Rath, S Sengupta
2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems, 2024
2024
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