Practical cyber-attacks on autonomous vehicles

Stottelaar, Bas G.B. (2015) Practical cyber-attacks on autonomous vehicles.

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Abstract:This thesis explores the field of Autonomous Vehicle (AV) sensor technologies and potential cyber-attacks on sensors. The research on AVs is increasingly tremendously, as the first vehicles are due to hit the road by 2020. Unfortunately, the literature on cyber-attacks on VAs is limited and theoretical. The first part of this work addresses the available sensor technologies, including limitations, attacks and countermeasures. Examples of sensor technologies include Laser Imgae Detection and Ranging (Lidar), Tirepressure Monitoring Systems (TPMS) and Global Navigation Satellite System (GNSS). In the second part of this thesis, practical attacks on the hardware layer of Lidar and camera senors will be demonstrated on actual an ibeo LUX 3 Lidar systems). Camera-related attacks include blinding and auto controls confusion attacks. The Lidar attacks include jamming, relaying and spoofing attacks. The attacks are evealuated according to an external attacker model with limited money and knowledge. The experiments are proof-of-concept, and are conducted in a lab environment. It was found that the MobilEye C2-270 is sensitive to low-cost near-infrared light sources, but these ligth sources cannot blind it. However, a low-budget low-power visible lasers can. The Lidar was susceptible to jamming, relay and spoofing attacks using low-cost hardware. Counterfeit signals can also influence the tracking software. Three examples of the impact of the attacks on the application level have also been shown, including an attack on sensor fusion. The last section of this work discusses several countermeasures that can mitigate or limit the demonstrated attacks.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:01 general works, 50 technical science in general
Programme:Computer Science MSc (60300)
Link to this item:http://purl.utwente.nl/essays/66766
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