Abstract
In the recent years, Vehicular Ad hoc NETworks (VANETs) have known a significant interest in terms of security and dependability. Moreover, we cannot ignore that this kind of networks request further work to provide different privacy related issues. Meaning that, the private data of users of this kind of network have to be prevented from different threats that may abuse their privacy. In this paper we propose an overall sight on the privacy threats in vehicular networks and we give our approach that addressing this issues. The goal here is providing the VANET dependability, by preventing the system assets from the potential threats that targets a vehicular system in order to more understand all ways in which the system can be attacked, that could help us to conceive countermeasures to counteract different possible attacks. Which could be done by applying the attack tree model on the vehicular system use case, in order to retrieve from it different informations in order to evaluate the system. Countermeasures could be added to the attack trees, that leads to the attack-defense tree model.
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We take this opportunities to thank all the conference’s committee and we would like to thanks for the anonymous reviewers for their remarks and opinions.
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Bahamou, S., Bonnin, JM., Idriss El Ouadghiri, M. (2016). Vehicular Ad-hoc Network’s Privacy Assessment Based on Attack Tree. In: Mendizabal, J., et al. Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2016. Lecture Notes in Computer Science(), vol 9669. Springer, Cham. https://doi.org/10.1007/978-3-319-38921-9_13
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DOI: https://doi.org/10.1007/978-3-319-38921-9_13
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