Tapadhir Das

According to our database, Tapadhir Das authored at least 23 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Poisoning the Well: Adversarial Poisoning on ML-Based Software-Defined Network Intrusion Detection Systems.

Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

IEEE Trans. Netw. Sci. Eng., 2025

Bringing to Light: Adversarial Poisoning Detection for ML-Based IDS in Software-Defined Networks.

Tapadhir Das, Raj Mani Shukla, Suman Rath, Shamik Sengupta

IEEE Trans. Netw. Sci. Eng., 2025

GCAP: Cyber Attack Progression Framework for Smart Grid Infrastructures.

Tapadhir Das, Suman Rath, Shamik Sengupta

IEEE Internet Things J., 2025

2024

Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games.

Suman Rath, Tapadhir Das, Shamik Sengupta

IEEE Trans. Smart Grid, July, 2024

Decentralized Privacy-Preserving Federated Learning for Ultrasonic Nerve Image Segmentation.

Gowtham Vinjamuri, Suvendu Chandan Nayak, Rekha Sahu, Raj Mani Shukla, Tapadhir Das

Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

Evaluation of Ensemble Learning for Mitigating Adversarial Attacks in Industrial Object Detection.

Shashank Pulijala, Sara Shahin, Tapadhir Das, Raj Mani Shukla

Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

Telling Apart: ML Framework Towards Cyber Attack and Fault Differentiation in Microgrids.

Tapadhir Das, Suman Rath, Shamik Sengupta

Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

2023

Modeling the Abnormality: Machine Learning-based Anomaly and Intrusion Detection in Software-defined Networks.

Tapadhir Das

PhD thesis, 2023

What Could Possibly Go Wrong? Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things.

Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

IEEE Netw., 2023

Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection.

Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

Proceedings of the 22nd IEEE International Conference on Trust, 2023

Runs in the Family: Malware Family Variants Identification through API Sequence and Frequency Analysis.

Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta

Proceedings of the International Conference on Multimedia Computing, 2023

Less is More: Deep Learning Framework for Digital Forensics in Resource-Constrained Environments.

Suman Rath, Tapadhir Das, Ignacio Astaburuaga, Shamik Sengupta

Proceedings of the 11th International Symposium on Digital Forensics and Security, 2023

Eyes on the Road: A Survey on Cyber Attacks and Defense Solutions for Vehicular Ad-Hoc Networks.

Amber Hankins, Tapadhir Das, Shamik Sengupta, David Feil-Seifer

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

UNR-IDD: Intrusion Detection Dataset using Network Port Statistics.

Tapadhir Das, Osama Abu Hamdan, Raj Mani Shukla, Shamik Sengupta, Engin Arslan

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective.

AbdelRahman Eldosouky, Tapadhir Das, Anuraag Kotra, Shamik Sengupta

IEEE Access, 2022

Flood Control: TCP-SYN Flood Detection for Software-Defined Networks using OpenFlow Port Statistics.

Tapadhir Das, Osama Abu Hamdan, Shamik Sengupta, Engin Arslan

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2022

Ohana Means Family: Malware Family Classification using Extreme Learning Machines.

Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021

Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data.

Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Casting a Wide Net: An Internet of Things Testbed for Cybersecurity Education and Research.

Jay Thom, Tapadhir Das, Bibek Shrestha, Shamik Sengupta, Engin Arslan

Proceedings of the 2021 International Symposium on Performance Evaluation of Computer and Telecommunication Systems, 2021

The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks.

Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

Proceedings of the 20th IEEE International Symposium on Network Computing and Applications, 2021

Sharing is Caring: Optimized Threat Visualization for a Cybersecurity Data Sharing Platform.

Adam Cassell, Tapadhir Das, Zachary Black, Farhan Sadique, James Schnebly, Sergiu Dascalu, Shamik Sengupta, Jeff Springer

Proceedings of the 20th IEEE International Symposium on Network Computing and Applications, 2021

Friend or Foe: Discerning Benign vs Malicious Software and Malware Family.

Aaron Walker, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta

Proceedings of the IEEE Global Communications Conference, 2021

2020

Think Smart, Play Dumb: Analyzing Deception in Hardware Trojan Detection Using Game Theory.

Tapadhir Das, Abdel Rahman Eldosouky, Shamik Sengupta

Proceedings of the 2020 International Conference on Cyber Security and Protection of Digital Services, 2020