Abstract
Vehicular communication discloses critical information about the vehicle. Association of this information to the drivers put the privacy of the driver at risk. The broadcast of safety messages in plain text is essential for safety applications but not secure with respect to the privacy of the driver. Many pseudonymous schemes are proposed in the literature, yet the level of privacy is not being compared among these schemes. Our contribution in this paper is the identification of the vulnerabilities in the existing pseudonym changing schemes, determining the attacking capabilities of the local-passive attacker and demonstration of the optimal case for an attacker to deploy the network of eavesdropping stations with the feasible attacking capabilities. We have also provided the analysis and comparison of the different pseudonym changing schemes with a new metric to measure tracking ability of the local-passive attacker in highway and urban scenarios as well as with the varying number of attacking stations.
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Saini, I., Saad, S., Jaekel, A. (2018). Identifying Vulnerabilities and Attacking Capabilities Against Pseudonym Changing Schemes in VANET. In: Traore, I., Woungang, I., Ahmed, S., Malik, Y. (eds) Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments. ISDDC 2018. Lecture Notes in Computer Science(), vol 11317. Springer, Cham. https://doi.org/10.1007/978-3-030-03712-3_1
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