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Hackers show how they tricked a Tesla into hitting objects in its path
http://www.businessinsider.com/defcon-tesla-jamming-spoofing-autopilot-2016-8
Hackers show how they tricked a Tesla into hitting objects in its path
Paul Szoldra
Aug. 8, 2016, 3:23 PM
LAS VEGAS — A group of researchers presenting at last week's Def Con hacker conference showed how they were able to overwhelm or deceive Tesla's sophisticated sensors to make a car hit an object it would normally detect in its path.
<snip>
The group, which consisted of Chen Yan, a PhD student at Zhejiang University, Jianhao Liu, a senior security consultant at Qihoo 360, and Wenyuan Xu, a professor at Zhejiang University and The University of South Carolina, presented a variety of new findings. They discovered methods for "quieting" sensors to diminish or hide obstacles in a car's path, "spoofing" them to make an object appear farther or closer than it actually is, and jamming, which, Yan said, renders the sensor useless as it's "overwhelmed by noise."
<snip>
Much of their presentation focused on the Tesla Model S, but they also successfully jammed sensors on cars from Audi, Volkswagen, and Ford.
<snip>
They also used off-the-shelf lasers to defeat the onboard cameras, and, in one of the most low-tech demonstrations, they wrapped objects up in cheap black foam that rendered them invisible to the car's sensors.
"
It was the) same effect as jamming," said Yan. He told Business Insider after the talk that Tesla reacted positively when they disclosed their research, and it was researching ways to mitigate these types of attacks.
"They appreciated our work and are looking into this issue," he said.
The full presentation of their findings is available at Def Con's website.
Hackers show how they tricked a Tesla into hitting objects in its path
Paul Szoldra
Aug. 8, 2016, 3:23 PM
LAS VEGAS — A group of researchers presenting at last week's Def Con hacker conference showed how they were able to overwhelm or deceive Tesla's sophisticated sensors to make a car hit an object it would normally detect in its path.
<snip>
The group, which consisted of Chen Yan, a PhD student at Zhejiang University, Jianhao Liu, a senior security consultant at Qihoo 360, and Wenyuan Xu, a professor at Zhejiang University and The University of South Carolina, presented a variety of new findings. They discovered methods for "quieting" sensors to diminish or hide obstacles in a car's path, "spoofing" them to make an object appear farther or closer than it actually is, and jamming, which, Yan said, renders the sensor useless as it's "overwhelmed by noise."
<snip>
Much of their presentation focused on the Tesla Model S, but they also successfully jammed sensors on cars from Audi, Volkswagen, and Ford.
<snip>
They also used off-the-shelf lasers to defeat the onboard cameras, and, in one of the most low-tech demonstrations, they wrapped objects up in cheap black foam that rendered them invisible to the car's sensors.
"
It was the) same effect as jamming," said Yan. He told Business Insider after the talk that Tesla reacted positively when they disclosed their research, and it was researching ways to mitigate these types of attacks.
"They appreciated our work and are looking into this issue," he said.
The full presentation of their findings is available at Def Con's website.
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