Seonghoon Jeong, Eunji Park, Kang Uk Seo, Jeong Do Yoo, and Huy Kang Kim (Korea University)

MAVLink protocol is a de facto standard protocol used to communicate between unmanned vehicle and ground control system (GCS). Given the nature of the system, unmanned vehicles use MAVLink to communicate with a GCS to be monitored and controlled. Such communication continues to grow on the Internet due to its rapidly grown nature. In the past few years, the unmanned vehicle security has been one of the key research topics in the security field. However, existing research has mainly focused on the sensor- and GPS-based attack detection methods. To this end, we propose MUVIDS, a network-level intrusion detection system to protect MAVLink-enabled unmanned vehicles managed by GCS over the Internet. MUVIDS includes two Long short-term memory models that leverage a sequential MAVLink stream from a victim vehicle. The two models are designed to solve a binary classification problem (in case of labels are available) and a next MAVLink message prediction problem (in case of no label is available), respectively. The experiment was performed on a software-in-the-loop unmanned aerial vehicle (UAV) simulator and a hardware-in-the-loop UAV simulator. The experiment result confirms that MUVIDS detects false MAVLink injection attacks effectively.

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PASS: A System-Driven Evaluation Platform for Autonomous Driving Safety...

Zhisheng Hu (Baidu Security), Junjie Shen (UC Irvine), Shengjian Guo (Baidu Security), Xinyang Zhang (Baidu Security), Zhenyu Zhong (Baidu Security), Qi Alfred Chen (UC Irvine) and Kang Li (Baidu Security)

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Demo #4: Attacking Tesla Model X’s Autopilot Using Compromised...

Ben Nassi (Ben-Gurion University of the Negev), Yisroel Mirsky (Ben-Gurion University of the Negev, Georgia Tech), Dudi Nassi, Raz Ben Netanel (Ben-Gurion University of the Negev), Oleg Drokin (Independent Researcher), and Yuval Elovici (Ben-Gurion University of the Negev) Best Demo Award Winner ($300 cash prize)!

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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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DRIVETRUTH: Automated Autonomous Driving Dataset Generation for Security Applications

Raymond Muller (Purdue University), Yanmao Man (University of Arizona), Z. Berkay Celik (Purdue University), Ming Li (University of Arizona) and Ryan Gerdes (Virginia Tech)

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