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.


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    Title :

    Evidence Based Trust Scoring for Multimodal VANET Applications


    Contributors:


    Publication date :

    2023-06-04


    Size :

    1092191 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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