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Replay-based Recovery for Autonomous Robotic Vehicles from Sensor Deception Attacks. (arXiv:2209.04554v2 [cs.RO] UPDATED)
Web: http://arxiv.org/abs/2209.04554
Sept. 14, 2022, 1:20 a.m. | Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, Karthik Pattabiraman
cs.CR updates on arXiv.org arxiv.org
Sensors are crucial for autonomous operation in robotic vehicles (RV).
Physical attacks on sensors such as sensor tampering or spoofing can feed
erroneous values to RVs through physical channels, which results in mission
failures. In this paper, we present DeLorean, a comprehensive diagnosis and
recovery framework for securing autonomous RVs from physical attacks. We
consider a strong form of physical attack called sensor deception attacks
(SDAs), in which the adversary targets multiple sensors of different types
simultaneously (even including all …
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