Researcher Hacks Self-driving Car Sensors

By Mark Harris

The multi-thousand-dollar laser ranging (lidar) systems that most self-driving cars rely on to sense obstacles can be hacked by a setup costing just $60, according to a security researcher.

“I can take echoes of a fake car and put them at any location I want,” says Jonathan Petit, Principal Scientist at Security Innovation, a software security company. “And I can do the same with a pedestrian or a wall.”

Using such a system, attackers could trick a self-driving car into thinking something is directly ahead of it, thus forcing it to slow down. Or they could overwhelm it with so many spurious signals that the car would not move at all for fear of hitting phantom obstacles.

In a paper written while he was a research fellow in the University of Cork’s Computer Security Group and due to be presented at the Black Hat Europe security conference in November, Petit describes a simple setup he designed using a low-power laser and a pulse generator. “It’s kind of a laser pointer, really. And you don’t need the pulse generator when you do the attack,” he says. “You can easily do it with a Raspberry Pi or an Arduino. It’s really off the shelf.”

To read more : http://spectrum.ieee.org/cars-that-think/transportation/self-driving/researcher-hacks-selfdriving-car-sensors