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About

Sofiane Lagraa is a leading researcher in the cybersecurity of robotic and autonomous systems, with a particular focus on the Robot Operating System (ROS). His work addresses the critical security vulnerabilities that arise as ROS is increasingly deployed in life-critical applications like self-driving cars, drones, and industrial automation. Lagraa’s major contributions include the development of ROSploit, a foundational cybersecurity tool for ROS that has garnered 26 citations, and ROS-Defender, a holistic security framework integrating SIEM, intrusion prevention, and firewalls, cited 21 times. He has pioneered real-time attack detection on robot cameras, using spatio-temporal autoencoders to identify sensor spoofing and image flow threats in self-driving car applications, with his 2019 paper on this topic receiving 19 citations. His work on auto-encoding robot state against sensor spoofing attacks (10 citations) further demonstrates his innovative approach to protecting cyber-physical systems. With a total of over 80 citations across his most-cited works, Lagraa is recognized for bridging the gap between robotics and cybersecurity, providing essential tools and models that are shaping the future of secure autonomous systems. His research is vital for students and engineers working at the intersection of robotics, AI, and security.