@inproceedings{e7eaa8d1368540cd84f22ee8ec3f87e1,
title = "SVM: Secure vehicle motion verification with a single wireless receiver",
abstract = "Connected vehicles leverage wireless interfaces to broadcast their motion state information for improved traffic safety and efficiency. It is crucial for their motion claims (location and velocity) to be verified at the receivers to detect spoofing attacks. Existing approaches typically require multiple cooperative distributed verifiers, which is not applicable to vehicular networks. In this work, we propose a secure motion verification scheme based on Angle-of-Arrival and Frequency-of-Arrival that only requires a single verifier, by exploiting opportunistic signal reflection paths in the environment to create multiple virtual verifiers. We analyze the security of our scheme both theoretically and under realistic road topology. We also carry out real-world experiments with two vehicles in a campus environment, and results show that our scheme can accurately detect false motion claims in a low relative speed vehicular network.",
keywords = "angle-of-arrival, doppler effect, multipath, secure motion verification, secure vehicle tracking",
author = "Mingshun Sun and Yanmao Man and Ming Li and Ryan Gerdes",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2020 ; Conference date: 08-07-2020 Through 10-07-2020",
year = "2020",
month = jul,
day = "8",
doi = "10.1145/3395351.3399348",
language = "English (US)",
series = "WiSec 2020 - Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks",
publisher = "Association for Computing Machinery",
pages = "65--76",
booktitle = "WiSec 2020 - Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks",
}