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Vehicle Identification and Route Reconstruction via TPMS Data Leakage

Abstract : Tire pressure monitoring systems have become a mandatory feature of modern automobiles, but their presence opens a new attack vector for a potential adversary.These systems have minimal security features, allowing for eavesdropping and data injection with low technical and financial costs.This chapter explores the potential for tire pressure monitoring systems to provide inputs to a remote sensing network, which leverages the data broadcast by the systems to identify vehicles and track their movements. A traffic simulation is employed to generate vehicle movements and tire pressure monitoring system packets. Experiments demonstrate that the tire pressure monitoring system data can help identify vehicles and reconstruct vehicle routes. They show that a determined adversary could deploy sensors to detect tire pressure monitoring systems and learn about the movements of individual vehicles without any insider information. Potential solutions to this privacy problem are discussed, focusing on low cost changes with the greatest consumer security benefits.
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https://hal.inria.fr/hal-03364572
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Submitted on : Monday, October 4, 2021 - 5:49:50 PM
Last modification on : Wednesday, November 3, 2021 - 7:05:57 AM
Long-term archiving on: : Wednesday, January 5, 2022 - 7:07:33 PM

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Distributed under a Creative Commons Attribution 4.0 International License

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Kenneth Hacker, Scott Graham, Stephen Dunlap. Vehicle Identification and Route Reconstruction via TPMS Data Leakage. 13th International Conference on Critical Infrastructure Protection (ICCIP), Mar 2019, Arlington, VA, United States. pp.123-136, ⟨10.1007/978-3-030-34647-8_7⟩. ⟨hal-03364572⟩

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