A privacy-preserving incentive scheme for advertisement dissemination in vehicular social networks

Peipei Xiao, Yufeng Wang, Qun Jin, Jianhua Ma

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    Recent years has witnessed a great progress in Vehicular Social Networks (VSNs), which is a particular class of vehicular ad hoc networks, characterized by social aspects and features, including human mobility and rational behaviors. Among various VSN applications, one of the most promising applications is the dissemination of commercial advertisement via car-to-RSU (rode side unit) and car-to-car communication. However, due to non-cooperative behavior of selfish nodes or malicious ones in the real-world scenario, such vehicular advertisement system can't be realized unless proper security and incentive mechanisms are taken into account. In this paper, the privacy concern is addressed by leveraging a PKI (Public Key Infrastructure) to provide secure incentives for cooperative nodes. The selfishness issue is solved through adopting Topology-dependent Reward Mechanisms (TDRM). Preliminary theoretical and simulation results show that, besides incentivizing individuals' participation, the proposed scheme can increase participants' reward through their active contribution and solicitation, and moreover, is robust against users' misbehaviors, especially Sybil-attack.

    本文言語English
    ホスト出版物のタイトルProceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ1741-1746
    ページ数6
    ISBN(電子版)9781509032051
    DOI
    出版ステータスPublished - 2017 2 7
    イベントJoint 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016 - Tianjin, China
    継続期間: 2016 8 232016 8 26

    Other

    OtherJoint 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
    国/地域China
    CityTianjin
    Period16/8/2316/8/26

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • コンピュータ サイエンスの応用
    • ハードウェアとアーキテクチャ
    • 情報システム
    • 安全性、リスク、信頼性、品質管理

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