| 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 | 10 | 2023 |
| 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 | 8 | 2021 |
| 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 | 7 | 2022 |
| 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 | 6 | 2020 |
| 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 | 3 | 2023 |
| 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 | 3 | 2021 |
| 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 | 2 | 2024 |
| 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 2 | 2021 |
| 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 | 2 | 2021 |
| Poisoning the well: Adversarial poisoning on ML-based software-defined network intrusion detection systems T Das, R Shukla, S Sengupta Authorea Preprints, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| ML-enabled Resource-constraint Intrusion Detection Framework for Vehicular Ad-Hoc Networks M Dinh, M Patel, T Das | | 2024 |
| Improving Resiliency in ML-based Traffic Sign Recognition against Adversarial Attacks for Autonomous Vehicles A Heyer Krupalin Vijjeswarapu, KL Nguyen, T Das, H Kamran Habibkhani, ... | | 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 |
| Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection L Telugu Rajesh, T Das, R Mani Shukla, S Sengupta arXiv e-prints, arXiv: 2310.07354, 2023 | | 2023 |
| Bringing To Light: Adversarial Poisoning Detection in Multi-controller Software-defined Networks T Das, R Shukla, S Rath, S Sengupta TechRxiv, 2023 | | 2023 |
| Modeling the Abnormality: Machine Learning-based Anomaly and Intrusion Detection in Software-defined Networks T Das University of Nevada, Reno, 2023 | | 2023 |
SHAMIK SENGUPTAExecutive Director, UNR Cybersecurity Center & Professor of Computer Science and Engineering Dept.Verified email at unr.edu
