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Tapadhir Das
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2020 – today
- 2024
- [j3]Suman Rath
, Tapadhir Das
Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games. IEEE Trans. Smart Grid 15(4): 4245-4258 (2024) - 2023
- [b1]Tapadhir Das:
Modeling the Abnormality: Machine Learning-based Anomaly and Intrusion Detection in Software-defined Networks. University of Nevada, Reno, USA, 2023 - [j2]Tapadhir Das
What Could Possibly Go Wrong? Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things. IEEE Netw. 37(3): 194-200 (2023) - [c13]Tapadhir Das
UNR-IDD: Intrusion Detection Dataset using Network Port Statistics. CCNC 2023: 497-500 - [c12]Amber Hankins, Tapadhir Das
Eyes on the Road: A Survey on Cyber Attacks and Defense Solutions for Vehicular Ad-Hoc Networks. CCWC 2023: 585-592 - [c11]Suman Rath, Tapadhir Das
Less is More: Deep Learning Framework for Digital Forensics in Resource-Constrained Environments. ISDFS 2023: 1-6 - [c10]Aaron Walker, Raj Mani Shukla, Tapadhir Das
Runs in the Family: Malware Family Variants Identification through API Sequence and Frequency Analysis. MCNA 2023: 55-61 - [c9]Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta:
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. TrustCom 2023: 2365-2371 - [i3]Suman Rath, Tapadhir Das, Shamik Sengupta:
Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games. CoRR abs/2306.15106 (2023) - [i2]Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla, Shamik Sengupta:
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection. CoRR abs/2310.07354 (2023) - 2022
- [j1]AbdelRahman Eldosouky
Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective. IEEE Access 10: 103718-103732 (2022) - [c8]Aaron Walker
Ohana Means Family: Malware Family Classification using Extreme Learning Machines. CCNC 2022: 534-542 - [c7]Tapadhir Das
Flood Control: TCP-SYN Flood Detection for Software-Defined Networks using OpenFlow Port Statistics. CSR 2022: 1-8 - 2021
- [c6]Aaron Walker
Friend or Foe: Discerning Benign vs Malicious Software and Malware Family. GLOBECOM 2021: 1-6 - [c5]Adam Cassell, Tapadhir Das
Sharing is Caring: Optimized Threat Visualization for a Cybersecurity Data Sharing Platform. NCA 2021: 1-8 - [c4]Tapadhir Das
The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks. NCA 2021: 1-5 - [c3]Jay Thom, Tapadhir Das
Casting a Wide Net: An Internet of Things Testbed for Cybersecurity Education and Research. SPECTS 2021: 1-8 - [c2]Tapadhir Das
Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data. WF-IoT 2021: 818-823 - [i1]Abdel Rahman Eldosouky, Tapadhir Das, Anuraag Kotra, Shamik Sengupta:
Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective. CoRR abs/2101.12442 (2021) - 2020
- [c1]Tapadhir Das
Think Smart, Play Dumb: Analyzing Deception in Hardware Trojan Detection Using Game Theory. Cyber Security 2020: 1-8
Coauthor Index
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