With the increasing adoption of Vehicular Ad Hoc Networks (VANETs) for the development of Cooperative Intelligent Transportation Systems (C-ITS) many concerns regarding privacy and anonymity in VANETs have been raised by security researchers and practitioners, highlighting the need for effective mechanisms to protect sensitive information exchanged by connected vehicles. One of the first concerns is related to the vehicle’s identifier, a field contained in the messages sent from the vehicle and that can be used to track the vehicle across the infrastructure, with consequent severe implications on the privacy of the driver. Consequently, VANET communications leverage short-lived pseudonyms instead of persistent vehicle’s identifiers, aiming to enhance the privacy of the vehicle. Pseudonym change schemes proposed in the literature are effective in masking the real sender of a given message, but they do not guarantee privacy against attackers that can monitor and correlate multiple messages among themselves. This paper evaluates 5 different pseudonym change mechanisms against a realistic threat model. Our results demonstrate that it is possible for a realistic attacker to reliably track multiple vehicles, with minor differences across different pseudonym change schemes.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Are VANETs pseudonyms effective? An experimental evaluation of pseudonym tracking in adversarial scenario


    Beteiligte:


    Erscheinungsdatum :

    10.10.2023


    Format / Umfang :

    1580598 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Efficient pseudonym changing schemes for location privacy protection in VANETs

    Chen, Yeong-Sheng / Lo, Tang-Te / Lee, Chiu-Hua et al. | IEEE | 2013



    A Pseudonym Changing Strategy for Dynamic Grouping in VANETs

    Li, Shuhua / Zhao, Lei / Luo, Wei | Springer Verlag | 2024


    A Novel Pseudonym Linking Scheme for Privacy Inference in VANETs

    Zhang, Rui / Wang, Xin / Cheng, Peng et al. | IEEE | 2020


    SLOW: A Practical pseudonym changing scheme for location privacy in VANETs

    Buttyan, Levente / Holczer, Tamas / Weimerskirch, Andre et al. | IEEE | 2009