MisBehavior Detection (MBD) is an important security mechanism in Cooperative Intelligent Transport Systems (C-ITS). It involves monitoring C-ITS communications to detect potentially misbehaving entities. This monitoring is based on local plausibility and consistency checks done by the Intelligent Transport Systems (ITS) Station (ITS-S) on every received Vehicle-to-Everything (V2X) message. These checks are then analyzed by a local detection mechanisms to estimate the overall plausibility of a message. In this paper we focus on the logic behind different local detection mechanisms. First, we propose different local detection solutions based on logics extracted from the state of the art. Then we present a comparative review of the detection quality and the computation latency of each proposed mechanisms.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Misbehavior Detection in C-ITS: A comparative approach of local detection mechanisms


    Contributors:


    Publication date :

    2019-12-01


    Size :

    1811509 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    MISBEHAVIOR DETECTION AND INTERVENTION

    ADITHTHAN ARUN / ISLAM MD MHAFUZUL / PERANANDAM PRAKASH M et al. | European Patent Office | 2025

    Free access

    Misbehavior detection system in VANETs using local traffic density

    Zacharias, Jithin / Froschle, Sibylle | IEEE | 2018


    MISBEHAVIOR DETECTION IN AUTONOMOUS DRIVING COMMUNICATIONS

    YANG LIUYANG LILY / SASTRY MANOJ R / LIU XIRUO et al. | European Patent Office | 2020

    Free access

    Edge Assisted Misbehavior Detection for Platoons

    Kan, Xinyue / Ganlath, Akila / Ucar, Seyhan et al. | IEEE | 2019


    Misbehavior detection in autonomous driving communications

    YANG LIUYANG LILY / SASTRY MANOJ R / LIU XIRUO et al. | European Patent Office | 2024

    Free access