Publications

Tapadhir Das, Raj Mani Shukla, Suman Rath, and Shamik Sengupta, "Bringing To Light: Adversarial Poisoning Detection for ML-based IDS in Software-defined Networks," in IEEE Transactions on Network Science and Engineering, IEEE, 2024.

Tapadhir Das, Raj Mani Shukla, and Shamik Sengupta, "Poisoning the Well: Adversarial Poisoning on ML-based Software-defined Network Intrusion Detection Systems," in IEEE Transactions on Network Science and Engineering, IEEE, 2024.

Tapadhir Das, Suman Rath, and Shamik Sengupta, "GCAP: Cyber Attack Progression Framework for Smart Grid Infrastructures," in IEEE Internet of Things Journal, IEEE, 2024. 

Suman Rath, Tapadhir Das, and Shamik Sengupta, "Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games," in IEEE Transactions on Smart Grid, IEEE, 2024.

Tapadhir Das,  Raj Mani Shukla,  and  Shamik  Sengupta,  “What Could Possibly Go Wrong?: Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things," in IEEE Network Magazine, IEEE, 2022.

AbdelRahman Eldosouky*, Tapadhir Das*,  Anuraag Kotra,  and  Shamik  Sengupta,  “Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective,” in IEEE Access, IEEE, 2022. (* denotes co-first authorship) 

Tapadhir Das, Raj Mani Shukla, Mohammed Ben-Idris, and Shamik Sengupta, "Vulnerabilities of Machine Learning Algorithms to Adversarial Attacks for Cyber-Physical Power Systems," in Book Title: "Smart Cyber-Physical Power Systems: Challenges and Solutions", Eds: Ali Parizad, Hamid Reza Baghaee, Saifur Rahman, Wiley-IEEE Press, 2024.

Rahul Choutapally and Tapadhir Das, "PaciPhish: Intelligent and Interpretable Phishing URL Detection Framework," in 2024 IEEE Cyber Awareness and Research Symposium (CARS), IEEE, 2024.  ***Best Paper Award***

Gowtham Vinjamuri, Suvendu Nayak, Rekha Sahu, Raj Mani Shukla, and Tapadhir Das, "Decentralized Privacy-Preserving Federated Learning for Ultrasonic Nerve Image Segmentation," in 2024 50th Annual Conference of the IEEE Industrial Electronics Society (IECON), IEEE, 2024. 

Shashank Pulijala, Sara Shahin, Tapadhir Das, and Raj Mani Shukla, "Evaluation of Ensemble Learning for Mitigating Adversarial Attacks in Industrial Object Detection," in 2024 50th Annual Conference of the IEEE Industrial Electronics Society (IECON), IEEE, 2024.  ***Best Paper Presentation Award***

Minh Dinh, Megha Patel, Tapadhir Das, and Raj Mani Shukla, "Small, but Mighty: Lightweight ML-Enabled Intrusion Detection Framework for Vehicular Ad-Hoc Networks," in 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), IEEE, 2024.

Tapadhir Das, Suman Rath, and Shamik Sengupta, "Telling Apart: ML Framework Towards Cyber Attack and Fault Differentiation in Microgrids," in 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS), IEEE, 2024. 

Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, and Shamik Sengupta, "Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection," in 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE, 2023.

Aaron Walker, Raj Mani Shukla, Tapadhir Das, and Shamik Sengupta, "Runs in the Family: Malware Family Variants Identification through API Sequence and Frequency Analysis," in 2023 7th International Conference on Multimedia, Networking, and Application (MCNA), IEEE, 2023. 

Suman Rath, Tapadhir Das, Ignacio Astaburuaga, and Shamik Sengupta, "Less is More: Deep Learning Framework for Digital Forensics in Resource-Constrained Environments," in 2023 11th International Symposium on Digital Forensics and Security (ISDFS), IEEE, 2023.

Amber Hankins, Tapadhir Das, Shamik Sengupta, and David Feil-Seifer, "Eyes on the Road: A Survey on Cyber Attacks and Defense Solutions for Vehicular Ad-Hoc Networks," in 2023 IEEE Computing and Communication Workshop and Conference (CCWC), IEEE, 2023.

Tapadhir Das,  Osama Abu Hamdan, Raj Mani Shukla, Shamik  Sengupta,  and Engin Arslan “UNR-IDD: Intrusion Detection Dataset using Network Port Statistics,” in 2023 IEEE Consumer Communications and Networking Conference (CCNC), IEEE, 2023. [Video]

Tapadhir Das,  Osama Abu Hamdan, Shamik  Sengupta,  and Engin Arslan “Flood Control: TCP-SYN Flood Detection for Software-Defined Networks using OpenFlow Port Statistics,” in 2022 IEEE International Conference on Cyber Security and Resilience (CSR), IEEE, 2022. [Video]

Aaron Walker, Raj Mani Shukla, Tapadhir Das, and Shamik Sengupta, "Ohana Means Family: Malware Family Classification using Extreme Learning Machines," in 2022 IEEE Consumer Communications and Networking Conference (CCNC), IEEE, 2022.

Tapadhir Das, Raj Mani Shukla, and Shamik Sengupta, "The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks,” in 2021 IEEE 20th International Symposium on Network Computing and Applications (NCA), IEEE, 2021. [Video]

Adam Cassell*, Tapadhir Das*, Zachary Black*, Farhan Sadique, James Schnebly, Sergiu Dascalu, Shamik Sengupta, and Jeff Springer, "Sharing is Caring: Optimized Threat Visualization for a Cybersecurity Data Sharing Platform,” in 2021 IEEE 20th International Symposium on Network Computing and Applications (NCA), IEEE, 2021.  (* denotes co-first authorship) [Video]

Aaron Walker, Tapadhir Das, Raj Mani Shukla, and Shamik Sengupta, "Friend or Foe: Discerning Benign vs Malicious Software and Malware Family," in 2021 IEEE Global Communications Conference (GLOBECOM), IEEE, 2021. 

Jay Thom, Tapadhir Das, Bibek Shrestha, Shamik Sengupta, and Engin Arslan, "Casting a Wide Net: An Internet of Things Testbed for Cybersecurity Education and Research," in 2021 International Symposium on Performance Evaluation of Computer and Telecommunication Systems Conference (SPECTS), IEEE, 2021.  

Tapadhir Das, Raj Mani Shukla, and Shamik Sengupta, "Imposters Among Us: A Supervised Learning Approach to Anomaly Detection for IoT Sensor Data," in 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), IEEE, 2021. [Video]

Tapadhir Das,  AbdelRahman  Eldosouky,  and  Shamik  Sengupta,  “Think  Smart,  Play  Dumb: Analyzing  Deception  in  Hardware  Trojan  Detection  Using  Game  Theory,” in 2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security), IEEE, 2020. [Video]