Preference-based trust rules for group formation in VANETs

Hind Obaid Al Falasi, Nader Mohamed

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    The complexity of traditional data mining techniques prevents them from being used in VANETs. The introduction of data stream mining has opened a window for extending data mining to be used in VANETs. Data stream mining can be used to construct or extract patterns from messages broadcast frequently from vehicles traveling on a road. Vehicles exchange different types of messages either periodically or ad hoc for different types of applications. The data flowing in the network of vehicles can be used to extract valuable knowledge to support the different applications in VANETs. Knowledge gained from the data can be used to form groups of vehicles. Vehicles can be grouped together based on their direction of traveling, speed, the types of applications they run. Vehicles that have common features, interests, and needs facilitate the establishment of trust between them as these shared features make up the foundation for trust. In this paper we provide a discussion of establishing trusted group using trust rules. In addition, we propose a system to generate/process trust rules and to establish a set of trusted groups.

    Original languageEnglish
    Title of host publicationProceedings - 2013 5th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2013
    PublisherIEEE Computer Society
    Pages333-338
    Number of pages6
    ISBN (Print)9780769551555
    DOIs
    Publication statusPublished - 2013
    Event2013 5th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2013 - Seoul, Korea, Republic of
    Duration: Sept 24 2013Sept 26 2013

    Publication series

    NameProceedings of International Conference on Computational Intelligence, Modelling and Simulation
    ISSN (Print)2166-8523
    ISSN (Electronic)2166-8531

    Other

    Other2013 5th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2013
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period9/24/139/26/13

    Keywords

    • Data Stream Mining
    • Group
    • Recommender Systems
    • Trust
    • VANETs

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Applied Mathematics
    • Modelling and Simulation

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