Anway Mukherjee, Ryan Gerdes, and Tam Chantem (Virginia Tech)

Over-the-air (OTA) software updates are an important feature to remotely analyze and upgrade any section of currently running software on battery-operated electric vehicles and its supply equipment. Even though a secure OTA framework can verify and validate updates before installation, the integrity of the framework itself cannot be guaranteed, and can easily introduce system and software vulnerability with potential catastrophic consequences. In this paper, we show how a popular automotive OTA secure update framework (Uptane) can be deployed entirely inside a TEE-enabled commercial off-the-shelf (COTS) embedded device to extend its security considerations and improve its resilience against both internal and external security breaches. We also present a software analysis tool that leverages SAWScript to verify our proposed solution against any functional and logical inconsistency, while validating our approach on a real COTS hardware (Raspberry Pi 3B).

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Demo #3: Detecting Illicit Drone Video Filming Using Cryptanalysis

Ben Nassi, Raz Ben-Netanel (Ben-Gurion University of the Negev), Adi Shamir (Weizmann Institute of Science), and Yuval Elovic (Ben-Gurion University of the Negev)

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Demo: A Simulator for Cooperative and Automated Driving Security

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

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SODA: A Generic Online Detection Framework for Smart Contracts

Ting Chen (University of Electronic Science and Technology of China), Rong Cao (University of Electronic Science and Technology of China), Ting Li (University of Electronic Science and Technology of China), Xiapu Luo (The Hong Kong Polytechnic University), Guofei Gu (Texas A&M University), Yufei Zhang (University of Electronic Science and Technology of China), Zhou Liao (University…

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Demo #1: Security of Multi-Sensor Fusion based Perception in...

Yulong Cao (University of Michigan), Ningfei Wang (UC, Irvine), Chaowei Xiao (Arizona State University), Dawei Yang (University of Michigan), Jin Fang (Baidu Research), Ruigang Yang (University of Michigan), Qi Alfred Chen (UC, Irvine), Mingyan Liu (University of Michigan) and Bo Li (University of Illinois at Urbana-Champaign)

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