IMUFUZZER: Resilience-based Discovery of Signal Injection Attacks on Robotic Vehicles (to appear)
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE) 2025.
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areas
Security,
Cyber-Physical Systems,
Software Testing
related project
Robotic vehicles (also known as drones) are facing various threats of cyber-physical attacks that exploit their security vulnerabilities. RetroV develops automated analysis tools to find such vulnerabilities in existing robotic vehicle systems and retrofit their design against advanced cyber-physical attacks.