Collective Perception Services (CPS) enable communicating entities to share their perception data in the V2X communication network. Potential attacks on extended perception data affect the CPS and may consequently degrade the safety application that rely on collective perception data. In this paper, we build an architecture that allows the integration of misbehavior detection and mitigation mechanisms with the CPS. We implement the Intersection Movement Assist (IMA) application that uses the extended perception data to calculate potential collision risks in intersection areas. We define specific safety metrics and through extensive simulations in large scale scenarios, we quantify the impact of a large number of attacks and of misbehavior detection on the safety application. Our evaluation demonstrates the ability of misbehavior detection and mitigation mechanisms to filter malicious shard perception data and consequently the benefits of using such mechanisms in improving the robustness of the safety application in complex road scenarios.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    On Enhancing Intersection Applications With Misbehavior Detection and Mitigation


    Beteiligte:
    Zhang, Jiahao (Autor:in) / Liu, Ziyi (Autor:in) / Jemaa, Ines Ben (Autor:in) / Bassi, Francesca (Autor:in) / Nashashibi, Fawzi (Autor:in)


    Erscheinungsdatum :

    07.10.2024


    Format / Umfang :

    1154056 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Detecting and Rectifying Vehicle Malicious Misbehavior for Intersection Movement Assist: A Sensor-Based Misbehavior Detection Study

    Ong, Boon Teck / Kolleda, Joshua / Mousa, Saleh et al. | Transportation Research Record | 2021


    MISBEHAVIOR DETECTION AND INTERVENTION

    ADITHTHAN ARUN / ISLAM MD MHAFUZUL / PERANANDAM PRAKASH M et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    Simulation Framework of Misbehavior Detection and Mitigation for Collective Perception Services

    Zhang, Jiahao / Jemaa, Ines Ben / Nashashibi, Fawzi | IEEE | 2024


    Incremental Learning for Enhancing Misbehavior Detection in Multi-Access Vehicular Networks

    Nguyen, Lan-Huong / Nguyen, Van-Linh / Hwang, Ren-Hung | IEEE | 2024


    MISBEHAVIOR DETECTION IN AUTONOMOUS DRIVING COMMUNICATIONS

    YANG LIUYANG LILY / SASTRY MANOJ R / LIU XIRUO et al. | Europäisches Patentamt | 2020

    Freier Zugriff