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Black Hat Europe Upcoming connected cars that communicate with other vehicles or roadside systems might easily be tracked even by snoopers with limited resources unless the technology is tweaked, an expert in automated and connected vehicle cybersecurity warns. Connected Vehicle is an upcoming technology that allow will allow cars and road-side infrastructure to communicate.
Vehicles continually broadcast messages containing their location. But these messages might be intercepted. During an experiment run on the campus of the University of Twente in The Netherlands, two Wi-Fi sniffing stations were able to track a target smart car nearly half the time, according to Dr.
Jonathan Petit, principal scientist at Security Innovation and a researcher at the University of Twente. Connected vehicles continually broadcast messages containing their location. These messages can be received by anyone, jeopardising location privacy. Experiment results demonstrate that tracking is feasible even if such an attacker covers a small number of intersections. Vehicle pseudonym change strategies can mitigate passive surveillance, the exercise showed.
Countermeasures exist to mitigate the risk. Petit presented his research on tracking connected cars at the recent Black Hat Europe during a two-part session where he also discussed research into the security of sensors in self-driving cars. Automated vehicles are equipped with multiple sensors LiDAR or light-radar, camera for traffic sign recognition etc. Petit and his team were able to develop remote attacks on camera-based system and LiDAR using commodity hardware.
Left unresolved the shortcomings would potentially affect the safety of types of smart cars not expected to become mainstream for at least five years. A fully automated vehicle will solely rely on its sensors readings to make short-term driving decisions. Sensors have withstand both deliberate attacks as well as glare from the sun and weather conditions on the road that might effect lower sensor data quality or alter sensor input to disrupt the automation system. Adding a pulse modulator would increase the cost slightly while increasing the effectiveness and scope of attacks.
Attacks could be mounted from up to m away. Temporarily blinding sensors could force a car into braking or swerving. A flash might blind a vehicle for two seconds or more, the experiments showed. Results from laboratory experiments show effective blinding, jamming, replay, relay, and spoofing attacks are possible. Spoofing can involve creating echoes of a fake car or potentially pedestrians. Fortunately Petit and his fellow researchers have come up with software and hardware countermeasures that improve sensors resilience against these types of attacks.
Fooling Sensors and Tracking Drivers , are here pdf. Related research papers, Connected Vehicles: Petit works as and advisor to governmental and commercial organisations that are rolling out trusted infrastructures to support communications for the connected vehicle market. The two sides to the research by Petit and his team reveal that there are more issues to car safety and privacy than that revealed by the high profile hack into the brakes and engine of a Jeep Cherokee by Charlie Miller and Chris Valasek.
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For example, with only two sniffing stations, a mid-sized attacker can track the target vehicle on a zone-level 78 per cent of the time, and on a road-level 40 per cent of the time.
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