Nicolas Quero (Expleo France), Aymen Boudguiga (CEA LIST), Renaud Sirdey (CEA LIST), Nadir Karam (Expleo France)

Platooning is an upcoming technology which aims at improving transportation by allowing a leading human-driven vehicle to automatically guide multiple trucks to their respective destinations, saving driver time, improving road efficiency and reducing gas consumption. However, efficient linkage of trucks to platoons requires the centralization and processing of business-critical data which truck operators are not willing to disclose. In order to address these issues, we investigate how homomorphic encryption can be used at the core of a protocol for privately linking a vehicle to a nearby platoon without disclosing its location and destination. Furthermore, we provide experimental results illustrating that such protocols achieve acceptable performances and latencies at practical platoon database scales (serving around 500 simultaneous clients on a single platooning server processor core with sub second latency over databases of up to ≈60000 platoons scattered among over 250 destinations).

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Tony Nasr (Concordia University), Sadegh Torabi (George Mason University), Elias Bou-Harb (University of Texas at San Antonio), Claude Fachkha (University of Dubai), Chadi Assi (Concordia University)

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Detection and Resolution of Control Decision Anomalies

Prof. Kang Shin (Kevin and Nancy O'Connor Professor of Computer Science, and the Founding Director of the Real-Time Computing Laboratory (RTCL) in the Electrical Engineering and Computer Science Department at the University of Michigan)

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Kai Wang (Tsinghua University), Zhiliang Wang (Tsinghua University), Dongqi Han (Tsinghua University), Wenqi Chen (Tsinghua University), Jiahai Yang (Tsinghua University), Xingang Shi (Tsinghua University), Xia Yin (Tsinghua University)

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Investigating the Impact of Evasion Attacks Against Automotive Intrusion...

Paolo Cerracchio, Stefano Longari, Michele Carminati, Stefano Zanero (Politecnico di Milano)

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