Short paper: Experimental analysis of misbehavior detection and prevention in VANETs

N. Bissmeyer, K. Schroder, Jonathan Petit, S. Mauthofer, K. Bayarou

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    11 Citations (Scopus)

    Abstract

    Vehicular Ad-hoc Networks (VANETs) aim to increase, among others, traffic safety and efficiency by warning and informing the driver about road events and hazards. Due to their direct impact on drivers' safety, external and internal attacks have to be prevented. While authentication prevents most of the external attacks, internal attackers are still able to misuse the system and inject fake - but authenticated - messages. Therefore, misbehavior detection and prevention mechanisms are required to mitigate such attacks. In this paper we provide a categorization of internal attackers to identify most relevant attack variants. Instead of using simulations, as done by most related works, we use an implementation on real vehicles to demonstrate the feasibility of location-based attacks. Especially, we demonstrate that a malware application installed on a vehicle can provoke false warnings on benign vehicles that are within the attacker's communication range. This exemplary attack is possible due to insufficiently specified VANET security standards. By using our proposed countermeasures, we show that this internal attack is detected and blocked, preventing false driver warnings.
    Original languageUndefined
    Title of host publicationFifth IEEE Vehicular Networking Conference, VNC 2013
    Place of PublicationUSA
    PublisherIEEE
    Pages198-201
    Number of pages4
    ISBN (Print)978-1-4799-2687-9
    DOIs
    Publication statusPublished - Dec 2013
    EventIEEE Vehicular Networking Conference, VNC 2013 - Boston, United States
    Duration: 16 Dec 201318 Dec 2013
    http://www.ieee-vnc.org/2013/

    Publication series

    Name
    PublisherIEEE Communications Society

    Conference

    ConferenceIEEE Vehicular Networking Conference, VNC 2013
    Abbreviated titleVNC
    CountryUnited States
    CityBoston
    Period16/12/1318/12/13
    Internet address

    Keywords

    • METIS-303566
    • IR-89717
    • EWI-24593

    Cite this

    Bissmeyer, N., Schroder, K., Petit, J., Mauthofer, S., & Bayarou, K. (2013). Short paper: Experimental analysis of misbehavior detection and prevention in VANETs. In Fifth IEEE Vehicular Networking Conference, VNC 2013 (pp. 198-201). USA: IEEE. https://doi.org/10.1109/VNC.2013.6737612