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A hybrid trust management framework for vehicular social networks

  • Rasheed Hussain*
  • , Waqas Nawaz
  • , Joo Young Lee
  • , Junggab Son
  • , Jung Taek Seo
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    36 Citations (Scopus)

    Abstract

    This paper addresses the trust management problem in the emerging Vehicular Social Network (VSN). VSN is an evolutionary integration of Vehicular Ad hoc NETwork (VANET) and Online Social Networks (OSN). The application domain of VSN inherits the features of its parental VANET and OSN, providing value-added services and applications to its consumers, i.e. passengers and drivers. However, the immature infrastructure of VSN is vulnerable to security and privacy threats while information sharing, and hard to realize in the mass of vehicles. Therefore, in this paper, we particularly advocate for communication trust establishment and management during information exchange in VSN. First, we establish functional architectural frameworks for VSN that are based on the underlying applications. Second, based on these frameworks, we propose two trust establishment and management solutions, i.e. email-based social trust and social networks-based trust, to target different sets of applications. Third, we discuss the contemporary research challenges in VSN. Our proposed scheme is a stepping stone towards the secure and trustworthy realization of this technology.

    Original languageEnglish
    Title of host publicationComputational Social Networks - 5th International Conference, CSoNet 2016, Proceedings
    EditorsHien T. Nguyen, Vaclav Snasel
    PublisherSpringer Verlag
    Pages214-225
    Number of pages12
    ISBN (Print)9783319423449
    DOIs
    Publication statusPublished - 2016
    Event5th International Conference on Computational Social Networks, CSoNet 2016 - Ho Chi Minh City, Viet Nam
    Duration: 2 Aug 20164 Aug 2016

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9795
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference5th International Conference on Computational Social Networks, CSoNet 2016
    Country/TerritoryViet Nam
    CityHo Chi Minh City
    Period2/08/164/08/16

    Bibliographical note

    Publisher Copyright:
    © Springer International Publishing Switzerland 2016.

    Keywords

    • Privacy
    • Reputation
    • Security
    • Social networks
    • Trust
    • VANET
    • Vehicular Social Network (VSN)

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