2022/04/14 by Xugui Zhou, Anna Schmedding, Zhou, Xugui +11 · 3 citations
Engineering · #Autonomous Vehicle Technology and Safety #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Safety Systems Engineering in Autonomy #Software Engineering (cs.SE) #Vehicular Ad Hoc Networks (VANETs)
paper · pdf · doi:10.48550/arxiv.2204.06768
openalex publication_date 2022/04/14 · openalex created_date 2023/01/01 · openalex updated_date 2026/07/28
A growing number of vehicles are being transformed into semi-autonomous vehicles (Level 2 autonomy) by relying on advanced driver assistance systems (ADAS) to improve the driving experience. However, the increasing complexity and connectivity of ADAS expose the vehicles to safety-critical faults and attacks. This paper investigates the resilience of a widely-used ADAS against safety-critical attacks that target the control system at opportune times during different driving scenarios and cause accidents. Experimental results show that our proposed Context-Aware attacks can achieve an 83.4% success rate in causing hazards, 99.7% of which occur without any warnings. These results highlight the intolerance of ADAS to safety-critical attacks and the importance of timely interventions by human drivers or automated recovery mechanisms to prevent accidents.