George Loukas
Papers
9
Total Citations
586
H-Index
8
About
George Loukas is a leading researcher in the security of cyber-physical systems, with a particular focus on autonomous and robotic vehicles. His work addresses the critical challenge of detecting cyber attacks that cross the digital-physical divide—where a cyber intrusion can cause physical harm, such as causing a drone to crash or a rescue robot to malfunction. Loukas pioneered the use of deep learning and computational offloading for intrusion detection in vehicles, demonstrating that resource-constrained systems can leverage cloud-based intelligence for robust security. His most cited paper (270 citations) introduced a cloud-based cyber-physical intrusion detection system for vehicles using deep learning. He has also developed decision tree, Bayesian network, and behaviour-based anomaly detection methods for robotic vehicles, achieving over 80 citations for his work on detecting denial-of-service and command injection attacks. Loukas’s research on physical indicators of cyber attacks against rescue robots and emergency response systems for disaster management highlights his commitment to real-world, life-saving applications. His contributions are foundational to the emerging field of cyber-physical security for autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning270 citations · 2017
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- 6Physical indicators of cyber attacks against a rescue robot32 citations · 2014
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- 8Emergency response systems for disaster management in buildings21 citations · 2009
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