[ShareMyResearch] Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing

Content provided by Junjie Shen, the first-author of the paper Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing.

In this work, we perform the first study on the security of MSF-based localization in AV settings. We find that the state-of-the-art MSF-based AD localization algorithm can indeed generally enhance the security, but have a take-over vulnerability that can fundamentally defeat the design principle of MSF, but only appear dynamically and non-deterministically. Leveraging this insight, we design FusionRipper, a novel and general attack that opportunistically captures and exploits take-over vulnerabilities. We perform both trace-based and simulation-based evaluations, and find that FusionRipper can achieve >= 97% and 91.3% success rates in all traces for off-road and wrong way attacks respectively, with high robustness to practical factors such as spoofing inaccuracies.

Thanks to the Courtesy of :

https://www.reddit.com/r/SelfDrivingCars/comments/l2qrif/sharemyresearch_drift_with_devil_security_of/

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