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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Detecting Tor Bridge from Sampled Traffic in Backbone Networks

Hua Wu (School of Cyber Science & Engineering and Key Laboratory of Computer Network and Information Integration Southeast University, Ministry of Education, Jiangsu Nanjing, Purple Mountain Laboratories for Network and Communication Security (Nanjing, Jiangsu)), Shuyi Guo, Guang Cheng, Xiaoyan Hu (School of Cyber Science & Engineering and Key Laboratory of Computer Network and Information Integration…

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Generation of CAN-based Wheel Lockup Attacks on the Dynamics...

Alireza Mohammadi (University of Michigan-Dearborn), Hafiz Malik (University of Michigan-Dearborn) and Masoud Abbaszadeh (GE Global Research)

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Panel – Experiment Artifact Sharing: Challenges and Solutions

Moderator: Laura Tinnel (SRI International) Panelists: Clémentine Maurice (CNRS, IRIS); Martin Rosso (Eindhoven University of Technology); Eric Eide (U. Utah)

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Demo #8: Identifying Drones Based on Visual Tokens

Ben Nassi (Ben-Gurion University of the Negev), Elad Feldman (Ben-Gurion University of the Negev), Aviel Levy (Ben-Gurion University of the Negev), Yaron Pirutin (Ben-Gurion University of the Negev), Asaf Shabtai (Ben-Gurion University of the Negev), Ryusuke Masuoka (Fujitsu System Integration Laboratories) and Yuval Elovici (Ben-Gurion University of the Negev)

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