Safety applications in VANET mostly rely upon the correctness of position and other vehicle kinematics information contained in heartbeat messages. A false information or incorrect notification can create traffic inconvenience on the road and may results into the loss of property and human lives. An authenticated node, which disseminates false information intentionally/ unintentionally is termed as misbehaving node. Prior knowledge about this kind of misbehaving node might not be possible in ephemeral network like VANET. It is required to have some verification mechanism in place, which can ensure the reliability of the information content of heartbeat messages, at least in terms of reported position and other vehicle kinematics. A good amount of research has been reported for the authentication of the node in VANET, but misbehavior detection research in VANET is still in nascent stage. The paper proposes a heartbeat message based short-term misbehavior detection scheme, which is capable of identifying the source of false information with very high probability. The proposed scheme has been implemented and analysed in simulation environment with the help of ns-2 and VanetMobiSim. The results are found to be encouraging and pave the way for further research in this direction.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Heartbeat Message Based Misbehavior Detection Scheme for Vehicular Ad-hoc Networks


    Contributors:


    Publication date :

    2012-12-01


    Size :

    242436 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Robust Misbehavior Detection Scheme for Vehicular Network

    Alzahrani, Mohammed / Idris, Mohd. Yazid / Ghaleb, Fuad A. et al. | IEEE | 2021


    SDN-based Misbehavior Detection System for Vehicular Networks

    Boualouache, Abdelwahab / Soua, Ridha / Engel, Thomas | IEEE | 2020


    MistralBSM: Leveraging Mistral-7B for Vehicular Networks Misbehavior Detection

    Hamhoum, Wissal / Cherkaoui, Soumaya | ArXiv | 2024

    Free access

    TRIMO: An Efficient Multimodal Misbehavior Detection Model in Vehicular Networks

    Nguyen, Van-Linh / Nguyen, Lan-Huong / Liu, Wen-Pin et al. | IEEE | 2024


    Comprehensive Review on Misbehavior Detection for Vehicular Ad Hoc Networks

    Xiaoya Xu / Yunpeng Wang / Pengcheng Wang | DOAJ | 2022

    Free access