Trust and security management in modern Intelligent Transport System (ITS) is a demanding task. In a recent publication a Large Scale Multimodal Data Processing Middleware for Intelligent Transport Systems (LDPM) was introduced. This LDPM depicts an ITS that utilises cryptographic and trust based technologies to provide secure Vehicular Ad-Hoc Network (VANET) communication. However, some critical aspects regarding evidence evaluation and trust scoring were subjected to future work. These topics are now addressed in this paper. Thus, a novel scheme to describe traffic related evidence in a multimodal environment, a modified version of a Bayesian Inference (BI) function, and a comprehensive data centric trust management method is presented. These findings integrate into the LDPM, but are also applicable in a stand alone solution. These goals were accomplished, as demonstrated in the final performance evaluation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Evidence Based Trust Scoring for Multimodal VANET Applications


    Beteiligte:
    Raich, Kris (Autor:in) / Kathrein, Robert (Autor:in) / Doller, Mario (Autor:in)


    Erscheinungsdatum :

    04.06.2023


    Format / Umfang :

    1092191 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    MDS-Based Trust Estimation of Event Reporting Node in VANET

    Krishna, T. Raghu Vamsi / Barnwal, Rajesh P. / Ghosh, Soumya K. | IEEE | 2013


    TMAPS: A Trust-based Mutual Authentication and Privacy in VANET

    Saini, Kajal / Namdev, Kamlesh / Rai, Kalpana | IEEE | 2022



    Trust Score Evaluation Scheme for Secure Routing in VANET

    G, Mahalakshmi. / Uma, E. / Senthilnayaki, B. et al. | IEEE | 2021


    Blockchain-Based Trust Management Model for Location Privacy Preserving in VANET

    Li, Bohan / Liang, Ruochen / Zhu, Di et al. | IEEE | 2021