Multi-Radio-Based Vehicle Pseudonym Association

Pierson Yieh, Aaron Otis, Andrew R. Li,Sean Bayley, Atticus Liu, Chin Chao, Daniel Kim,Bruce DeBruhl,Yu Seung Kim

2019 IEEE 90TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-FALL)(2019)

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摘要
With the advent of vehicle-to-everything (V2X) communications, many new applications will be enabled, including safety and traffic optimization. However, initial proposals of V2X communication protocols raise privacy concerns about the ability to track vehicles without the owners' consent. While solutions have been proposed to mitigate this tracking, they have focused on a single protocol. We propose a new passive vehicle tracking technique, which we refer to as Vehicle Ensemble Tracking, or VETing. This approach uses traces from secondary radios with long-term identifiers to de-anonymize pseudonyms used by V2X radios. Using a simulator with a network of listeners, we show that VETing can reconstruct high precision paths of vehicles traveling through a city.
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关键词
high precision path reconstruction,vehicle ensemble tracking,passive vehicle tracking,de-anonymize pseudonyms,secondary radios,V2X communication protocols,traffic optimization,vehicle-to-everything communications,multiradio-based Vehicle pseudonym association
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