Many Intrusion Detection approaches for Vehicular ad hoc networks (VANETs) are proposed. However, not moving fake vehicles and vehicles with a plausible mobility model are not considered in other approaches. In this paper we propose an innovative signature based intrusion detection method that verifies vehicle movement data by applying a plausibility model. With our approach a single fake vehicle can be identified based on the plausibility model even if it simulates an autonomously valid movement. The results from the intrusion detection can be used to detect on the one hand road side attackers simulating faked traffic congestions and on the other hand attackers that try to deny real congestions by inserting moving vehicles into the network.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Intrusion detection in VANETs through verification of vehicle movement data


    Beteiligte:
    Bissmeyer, N (Autor:in) / Stresing, C (Autor:in) / Bayarou, K M (Autor:in)


    Erscheinungsdatum :

    01.12.2010


    Format / Umfang :

    282304 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Intrusion detection in VANETs through verification of vehicle movement data

    Bißmeyer, N. / Stresing, C. / Bayarou, K.M. | Fraunhofer Publica | 2010

    Freier Zugriff

    Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach

    Shu, Jiangang / Zhou, Lei / Zhang, Weizhe et al. | IEEE | 2021


    Traffic monitoring and incident detection through VANETs

    De Felice, Mario / Baiocchi, Andrea / Cuomo, Francesca et al. | IEEE | 2014



    VEHICLE LOCALIZATION ENHANCEMENT WITH VANETS

    Peker, A. / Acarman, T. / Yaman, C. et al. | British Library Conference Proceedings | 2014