Ben Nassi, Dudi Nassi, Raz Ben Netanel and Yuval Elovici (Ben-Gurion University of the Negev)

In this paper, we evaluate the robustness of Mobileye 630 PRO, the most popular off-the-shelf ADAS on the market today, to camera spoofing attacks applied using a projector. We show that Mobileye 630 issues false notifications about road signs projected in proximity to the car that the system is installed in. We assess how changes of the road signs (e.g., changes in color, shape, projection speed, diameter and ambient light) affect the outcome of an attack. We find that while Mobileye 630 PRO rejects fake projected road signs that consists of non-original shapes and objects, it accepts fake projected road signs that consists of non-original colors. We demonstrate how attackers can leverage these findings to apply a remote attack in a realistic scenario by using a drone that carries a portable projector which projects the spoofed traffic sign on a building located in proximity to a passing car equipped with Mobileye 630. Our experiments show that it is possible to fool Mobileye 630 PRO to issue false notification about a traffic sign projected from a drone.

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Demo #7: A Simulator for Cooperative and Automated Driving...

Mohammed Lamine Bouchouia (Telecom Paris - Institut Polytechnique de Paris), Jean-Philippe Monteuuis (Qualcomm Technologies Inc), Houda Labiod (Telecom Paris - Institut Polytechnique de Paris), Ons Jelassi (Telecom Paris - Institut Polytechnique de Paris), Wafa Ben Jaballah (Thales) and Jonathan Petit (Qualcomm Technologies Inc)

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Low-risk Privacy-preserving Electric Vehicle Charging with Payments

Andreas Unterweger, Fabian Knirsch, Clemens Brunner and Dominik Engel (Center for Secure Energy Informatics, Salzburg University of Applied Sciences, Puch bei Hallein, Austria)

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ROV++: Improved Deployable Defense against BGP Hijacking

Reynaldo Morillo (University of Connecticut), Justin Furuness (University of Connecticut), Cameron Morris (University of Connecticut), James Breslin (University of Connecticut), Amir Herzberg (University of Connecticut), Bing Wang (University of Connecticut)

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