Publications

Peer- Reviewed Conference Publications

• A. Sarma, G. Thamilarasu, “SCRAPE: Side-Channel Attack to Reveal Alphanumeric Passwords from EEG Signals“, 16th IEEE International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2024
•  B. Birchman, G. Thamilarasu, “Securing Federated Learning: Enhancing Defense Mechanisms against Poisoning Attacks“, 33rd IEEE International Conference on Computer Communications and Networks, July 2024
• A. Ahire, G. Thamilarasu, “Securing IoT Ecosystem with Explainable AI-Enhanced Intrusion Detection“, 33rd IEEE International Conference on Computer Communications and Networks, July 2024
• A. Rahmati, G. Thamilarasu. A. Mashhadi, “Building a Robust Federated Learning based Intrusion Detection System in Internet of Things:, 4th International Conference on IoT, Big Data and Security, Jan 2024
• D. Manwaring, G. Thamilarasu, “Defense Guild: A Privacy-preserving Intrusion Detection System for Healthcare Data in Clouds”, 10th IEEE International Conference on Future Internet of Things and Cloud, August 2023
• Mustafa Mahjeed, G. Thamilarasu, Nicole Johnson and Christian Alfonso, “A Deep Learning Approach for ECG Authentication on Implantable Medical Devices” 32nd IEEE International Conference on Computer Communications and Networks, July 2023
• A. Sarma, G. Thamilarasu, “Inferring Sensitive User Information Through Biosignals using Deep Learning“, 32nd IEEE International Conference on Computer Communications and Networks, July 2023
• E. Choate, G. Thamilarasu, “BA-TLS: Blockchain Authentication for Transport Layer Security in Internet of Things“, 7th IEEE International conference on Internet of Things Systems, Management and Security, Dec 2020
• A. Gibson, G. Thamilarasu, “Protect Your Pacemaker: Blockchain based Authentication and Consented Authorization for Implanted Medical Devices“, Third International Conference on Computing and Network Communications, Dec 2019
• W. Schneble, G. Thamilarasu, “Optimal Feature Selection for Intrusion Detection in Medical Cyber-Physical Systems“, 11th IEEE International Conference on Advanced Computing, Dec 2019
• W. Schneble, G. Thamilarasu, “Attack Detection Using Federated Learning in Medical Cyber-Physical Systems“, 28th IEEE International Conference on Computer Communications and Networks, August 2019
• M. Srivastava, G.Thamilarasu, “MSF:A comprehensive security framework for mHealth applications“, 7th IEEE International Conference on Future Internet of Things and Cloud, August 2019
• A. Odesile, G. Thamilarasu, “Distributed Intrusion Detection Using Mobile Agents in Wireless Body Area Networks”, Seventh IEEE International Conference on Emerging Security Technologies, Oct 2017
• S. Gao, G. Thamilarasu, “Machine-learning Classifiers for Security in Connected Medical Devices“, 26th International Conference on Computer Communications and Networks (ICCCN 2017), Aug 2017
• G. Thamilarasu, C. Lakin, “A Security Framework for Mobile Health Applications“, 5th International Conference on Future Internet of Things and Cloud Workshops, 2017
• S. Chawla, G. Thamilarasu, “Security as a Service: Real time Intrusion Detection in Internet of Things“, Cybersecurity symposium, April 2017
• G. Thamilarasu, A. Odesile, “Securing Wireless Body Area Networks: Challenges, Review and Recommendations”, IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), December 2016
• G. Thamilarasu, “Genetic Algorithm Based Intrusion Detection System for Wireless Body Area Networks”, 20th IEEE Symposium on Computers and Communications, July 2015
• G. Thamilarasu, Z. Ma, “Autonomous Mobile Agent based Intrusion Detection Framework in Wireless Body Area Networks” at IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, June 2015
• S Sengupta, G Thamilarasu, A Dalvi, S Vellanki, “ACM-learning architecture: A normative proposal for technology enhanced education for developing countries” , IEEE International Conference on Technology Enhanced Education (ICTEE), 2012
• G. Thamilarasu, R. Sridhar, “Game Theoretic Modeling of Jamming Attacks in Ad hoc Networks” International Conference on Computer Communications and Networks, ICCCN, San Fransico, August 2009
• S. Krishnamurthy, G. Thamilarasu, C. Bauckhage, “MALADY: A Machine Learning-based Autonomous Decision-Making System for Sensor Networks” International Conference on Embedded and Ubiquitous Computing (EUC-09), Vancouver, Canada, August 2009
• G.Thamilarasu, R. Sridhar, “XLSEC – A Distributed Cross-layer Framework for Security in Wireless Sensor Networks” IEEE Consumer Communications and Networking Conference, (CCNC) Las Vegas, January 2009
• G. Thamilarasu, R. Sridhar, “Intrusion Detection in RFID Systems”, IEEE Military Communications Conference, 2008, San Diego, November 2008(Invited paper)
• G. Thamilarasu, R. Sridhar, “Exploring Cross-layer Techniques for Security Challenges and Opportunities in Wireless Networks”, MILCOM 2007, Orlando, FL, October 2007 (Invited paper)
• G. Thamilarasu, R. Sridhar, “Toward Building a Multi-level Robust Detection Architecture for Distributed Mobile Networks”, 27th International Conference Distributed Computing Systems Workshops, ICDCS 2007. June 2007
• V. Balasubramanian, G. Thamilarasu, R. Sridhar, “Security Solution For Data Integrity In Wireless Biosensor Networks”, Specialized Ad Hoc Networks and Systems, in conjunction with ICDCS, June 2007
• G. Thamilarasu, S. Mishra, R. Sridhar, “A Cross-layer approach to Detect Jamming Attacks in Wireless Ad Hoc Networks”, IEEE Military Communications Conference 2006, Washington, D.C., October 2006
• G. Thamilarasu, A. Balasubramanian, S. Mishra, R. Sridhar, “A Cross-Layer based Intrusion Detection System for Wireless Ad Hoc Networks”, International IEEE International Conference on Mobile Ad-hoc and Sensor Systems Conference (MASS 2005), Washington, DC, November 2005
• G. Thamilarasu, S. Mishra, R. Sridhar, “Analysis of Cross-Layer Design Approach for Energy Conservation in Wireless Ad Hoc Networks”, 1st IEEE Upstate NY Workshop on Communications and Networking, Joint Communications and Aerospace Chapter Rochester NY, Nov 2004
• G. Thamilarasu, S. Mishra, R. Sridhar, “Cross-layer Approach to Low Energy Wireless Ad Hoc Networks”, Workshop on Cross-Layer Issues in the Design of Tactical Mobile Ad Hoc Wireless Networks: Integration of Communication and Networking Functions to Support Optimal Information Management, Naval Research Laboratory Washington, DC, June 2004

• G. Thamilarasu, A. Odesile, A. Wong, “An Intrusion Detection System for Internet of Medical Things “, IEEE Access Journal, Sep 2020
• G. Thamilarasu, S. Chawla, “Towards Deep learning driven Intrusion Detection for Internet of Things” Special Issue in Security and Privacy in Internet of Things, Sensors Journal, Apr 2019 (Editor’s Choice article for outstanding publication)
• Lenning. M, Fortunato. J, Le .T, Clark. I, Thamilarasu. G, Cao. H “Real-Time Monitoring and Analysis of Zebrafish Electrocardiogram with Anomaly Detection“, Sensors Journal, December 2017
• G. Thamilarasu, “iDetect: An Intelligent Intrusion Detection System for Wireless Body Area Networks” Inderscience International Journal of Security and Networks, June 2015
• G. Thamilarasu, R. Sridhar, “A Cross-layer Game for Energy Efficient Jamming Detection in Ad hoc Networks” Wiley’s Security and Communication Networks Journal, Volume 5, Issue 4, pp 364-373, April 2012
• G. Thamilarasu, S. Mishra, R. Sridhar, “Improving reliability of Jamming Attack Detection in Ad Hoc Networks” Special Issue on ” Cross-Layer Optimization Techniques and Security in Next Generation Networks, International Journal of Communication Networks and Information Security, Jan 2011
• G. Thamilarasu, R. Sridhar, “CIDS: Cross-layer Intrusion Detection System for Mobile Ad hoc Networks” International Journal of Mobile Network Design and Innovation, 2009