Tapadhir Das - RankMe

29 papers B 4C 2Misc 2Journal 9Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bringing to Light: Adversarial Poisoning Detection for ML-Based IDS in Software-Defined Networks. IEEE Trans. Netw. Sci. Eng. Tapadhir Das, Raj Mani Shukla, Suman Rath, Shamik Sengupta
2025	—	`conf`	Deep Fake Audio Detection Framework Using MFCCs, Chroma Features, and Spectrogram Images. CAI Nora Bakken, Shavil Singh, Makwana Prashant, Tapadhir Das
2025	J	`jnl`	GCAP: Cyber Attack Progression Framework for Smart Grid Infrastructures. IEEE Internet Things J. Tapadhir Das, Suman Rath, Shamik Sengupta
2025	Misc	`conf`	Hierarchical ML for Adversarial Resiliency in Autonomous Vehicular Traffic Sign Recognition. IRI Khanh Linh Nguyen, Abishek Vijjeswarapu, Tapadhir Das, Houman Habibkhani
2025	J	`jnl`	Poisoning the Well: Adversarial Poisoning on ML-Based Software-Defined Network Intrusion Detection Systems. IEEE Trans. Netw. Sci. Eng. Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2025	—	`conf`	Web-Based Machine Learning Framework for Phishing URL Detection and Analysis. CAI Rahul Choutapally, Tapadhir Das
2024	C	`conf`	Decentralized Privacy-Preserving Federated Learning for Ultrasonic Nerve Image Segmentation. IECON Gowtham Vinjamuri, Suvendu Chandan Nayak, Rekha Sahu, Raj Mani Shukla, Tapadhir Das
2024	C	`conf`	Evaluation of Ensemble Learning for Mitigating Adversarial Attacks in Industrial Object Detection. IECON Shashank Pulijala, Sara Shahin, Tapadhir Das, Raj Mani Shukla
2024	J	`jnl`	Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games. IEEE Trans. Smart Grid Suman Rath, Tapadhir Das, Shamik Sengupta
2024	—	`conf`	Telling Apart: ML Framework Towards Cyber Attack and Fault Differentiation in Microgrids. ICPS Tapadhir Das, Suman Rath, Shamik Sengupta
2023	—	`conf`	Eyes on the Road: A Survey on Cyber Attacks and Defense Solutions for Vehicular Ad-Hoc Networks. CCWC Amber Hankins, Tapadhir Das, Shamik Sengupta, David Feil-Seifer
2023	B	`conf`	Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. TrustCom Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2023	J	`jnl`	Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. CoRR Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2023	J	`jnl`	Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games. CoRR Suman Rath, Tapadhir Das, Shamik Sengupta
2023	—	`conf`	Less is More: Deep Learning Framework for Digital Forensics in Resource-Constrained Environments. ISDFS Suman Rath, Tapadhir Das, Ignacio Astaburuaga, Shamik Sengupta
2023	—	`—`	Modeling the Abnormality: Machine Learning-based Anomaly and Intrusion Detection in Software-defined Networks. Tapadhir Das
2023	—	`conf`	Runs in the Family: Malware Family Variants Identification through API Sequence and Frequency Analysis. MCNA Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta
2023	—	`conf`	UNR-IDD: Intrusion Detection Dataset using Network Port Statistics. CCNC Tapadhir Das, Osama Abu Hamdan, Raj Mani Shukla, Shamik Sengupta, Engin Arslan
2023	J	`jnl`	What Could Possibly Go Wrong? Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things. IEEE Netw. Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2022	J	`jnl`	Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective. IEEE Access AbdelRahman Eldosouky, Tapadhir Das, Anuraag Kotra, Shamik Sengupta
2022	Misc	`conf`	Flood Control: TCP-SYN Flood Detection for Software-Defined Networks using OpenFlow Port Statistics. CSR Tapadhir Das, Osama Abu Hamdan, Shamik Sengupta, Engin Arslan
2022	—	`conf`	Ohana Means Family: Malware Family Classification using Extreme Learning Machines. CCNC Aaron Walker, Raj Mani Shukla, Tapadhir Das, Shamik Sengupta
2021	—	`conf`	Casting a Wide Net: An Internet of Things Testbed for Cybersecurity Education and Research. SPECTS Jay Thom, Tapadhir Das, Bibek Shrestha, Shamik Sengupta, Engin Arslan
2021	J	`jnl`	Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective. CoRR Abdel Rahman Eldosouky, Tapadhir Das, Anuraag Kotra, Shamik Sengupta
2021	B	`conf`	Friend or Foe: Discerning Benign vs Malicious Software and Malware Family. GLOBECOM Aaron Walker, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2021	—	`conf`	Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data. WF-IoT Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2021	B	`conf`	Sharing is Caring: Optimized Threat Visualization for a Cybersecurity Data Sharing Platform. NCA Adam Cassell, Tapadhir Das, Zachary Black, Farhan Sadique, James Schnebly, Sergiu Dascalu, Shamik Sengupta, Jeff Springer
2021	B	`conf`	The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks. NCA Tapadhir Das, Raj Mani Shukla, Shamik Sengupta
2020	—	`conf`	Think Smart, Play Dumb: Analyzing Deception in Hardware Trojan Detection Using Game Theory. Cyber Security Tapadhir Das, Abdel Rahman Eldosouky, Shamik Sengupta