IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v14y2018i9p1550147718803299.html
   My bibliography  Save this article

ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing

Author

Listed:
  • Jin Wang
  • Youyuan Wang
  • Xiang Gu
  • Liang Chen
  • Jie Wan

Abstract

In vehicular participatory sensing, vehicles may provide false data or low-quality data. Building trust in vehicular ad hoc networks is an efficient way to deal with this issue. On one hand, vehicles need to disclose necessary information to demonstrate their trustworthiness. On the other hand, vehicles tend to hide their sensitive information to preserve user privacy. Therefore, privacy and trust are conflict in vehicular ad hoc networks. A cluster-based reputation framework named ClusterRep is proposed to balance privacy and trust in vehicular ad hoc networks. In this framework, the cluster head collaborates with cluster members to change pseudonyms and reputation values. The experiments show the scalability and the effectiveness of the ClusterRep compared with Beta strategy and IncogniSense-floor strategy.

Suggested Citation

  • Jin Wang & Youyuan Wang & Xiang Gu & Liang Chen & Jie Wan, 2018. "ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing," International Journal of Distributed Sensor Networks, , vol. 14(9), pages 15501477188, September.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:9:p:1550147718803299
    DOI: 10.1177/1550147718803299
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147718803299
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147718803299?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ghassan Husnain & Shahzad Anwar & Gulbadan Sikander & Armughan Ali & Sangsoon Lim, 2023. "A Bio-Inspired Cluster Optimization Schema for Efficient Routing in Vehicular Ad Hoc Networks (VANETs)," Energies, MDPI, vol. 16(3), pages 1-20, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:14:y:2018:i:9:p:1550147718803299. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.