| Towards deep-learning-driven intrusion detection for the internet of things G Thamilarasu, S Chawla Sensors 19 (9), 1977, 2019 | 270 | 2019 |
| An intrusion detection system for internet of medical things G Thamilarasu, A Odesile, A Hoang IEEE Access 8, 181560-181576, 2020 | 132 | 2020 |
| A cross-layer based intrusion detection approach for wireless ad hoc networks G Thamilarasu, A Balasubramanian, S Mishra, R Sridhar IEEE International Conference on Mobile Adhoc and Sensor Systems Conference …, 2005 | 84 | 2005 |
| Attack Detection Using Federated Learning in Medical Cyber-Physical Systems GT W. Schneble 28th International Conference on Computer Communications and Networks (ICCCN), 2019 | 79 | 2019 |
| A cross-layer approach to detect jamming attacks in wireless ad hoc networks G Thamilarasu, S Mishra, R Sridhar MILCOM 2006-2006 IEEE Military Communications conference, 1-7, 2006 | 70 | 2006 |
| Intrusion detection in RFID systems G Thamilarasu, R Sridhar MILCOM 2008-2008 IEEE Military Communications Conference, 1-7, 2008 | 45 | 2008 |
| Machine-learning Classifiers for Security in Connected Medical Devices GT S. Gao 7th International Workshop on Internet on Things: Privacy, Security and …, 2017 | 39 | 2017 |
| Security as a service: real-time intrusion detection in internet of things S Chawla, G Thamilarasu Proceedings of the Fifth Cybersecurity Symposium, 1-4, 2018 | 33 | 2018 |
| Real-time monitoring and analysis of zebrafish electrocardiogram with anomaly detection M Lenning, J Fortunato, T Le, I Clark, A Sherpa, S Yi, P Hofsteen, ... Sensors 18 (1), 61, 2017 | 33 | 2017 |
| Improving reliability of jamming attack detection in ad hoc networks G Thamilarasu, S Mishra, R Sridhar International Journal of Communication Networks and Information Security 3 …, 2011 | 32 | 2011 |
| Exploring cross-layer techniques for security: Challenges and opportunities in wireless networks G Thamilarasu, R Sridhar MILCOM 2007-IEEE Military Communications Conference, 1-6, 2007 | 32 | 2007 |
| iDetect: an intelligent intrusion detection system for wireless body area networks G Thamilarasu International Journal of Security and Networks 11 (1-2), 82-93, 2016 | 30 | 2016 |
| Game theoretic modeling of jamming attacks in ad hoc networks G Thamilarasu, R Sridhar 2009 Proceedings of 18th International Conference on Computer Communications …, 2009 | 30 | 2009 |
| Distributed Intrusion Detection Using Mobile Agents in Wireless Body Area Networks GT A.Odesile Seventh IEEE International Conference on Emerging Security Technologies, 2017 | 29 | 2017 |
| Autonomous mobile agent based intrusion detection framework in wireless body area networks G Thamilarasu, Z Ma 2015 IEEE 16th international symposium on a world of wireless, mobile and …, 2015 | 27 | 2015 |
| Security solution for data integrity inwireless biosensor networks VB Balasubramanyn, G Thamilarasu, R Sridhar 27th International Conference on Distributed Computing Systems Workshops …, 2007 | 19 | 2007 |
| MALADY: A machine learning-based autonomous decision-making system for sensor networks S Krishnamurthy, G Thamilarasu, C Bauckhage 2009 International Conference on Computational Science and Engineering 2, 93-100, 2009 | 17 | 2009 |
| A security framework for mobile health applications G Thamilarasu, C Lakin 2017 5th International Conference on Future Internet of Things and Cloud …, 2017 | 12 | 2017 |
| Protect your pacemaker: blockchain based authentication and consented authorization for implanted medical devices A Gibson, G Thamilarasu Procedia Computer Science 171, 847-856, 2020 | 11 | 2020 |
| Genetic algorithm based intrusion detection system for wireless body area networks G Thamilarasu 2015 IEEE Symposium on Computers and Communication (ISCC), 160-165, 2015 | 11 | 2015 |
