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S3 Lab - Software & Systems Security Laboratory The University of Texas at Dallas

IMUFUZZER: Resilience-based Discovery of Signal Injection Attacks on Robotic Vehicles (to appear)

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Sudharssan Mohan, Kyeongseok Yang, Zelun Kong, Yonghwi Kwon, Junghwan "John" Rhee, Tyler Summers, Hongjun Choi, Heejo Lee, and Chung Hwan Kim

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE) 2025.

areas
Security, Cyber-Physical Systems, Software Testing

related project

RetroV RetroV

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.