• DocumentCode
    235165
  • Title

    EPPI: An E-cent-based privacy-preserving incentive mechanism for participatory sensing systems

  • Author

    Xiaoguang Niu ; Meng Li ; Qianyuan Chen ; Qingqing Cao ; Houzhen Wang

  • Author_Institution
    Sch. of Comput. Sci., Wuhan Univ., Wuhan, China
  • fYear
    2014
  • fDate
    5-7 Dec. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The proliferation of mobile devices has facilitated the prevalence of participatory sensing applications in which participants collect and share information in their environments. The design of a participatory sensing application confronts two challenges: “privacy” and “incentive” which are two conflicting objectives and deserve deeper attention. Inspired by physical currency circulation system, this paper firstly proposes E-cent, a unit bearer currency. It is exchangeable, and participants can utilize it to participate in tasks anonymously. By employing E-cent, we further propose an E-cent-based privacy-preserving incentive mechanism, called EPPI, which exploits a pledge-based participating protocol to encourage participants to participate without revealing privacy and prohibit participants from sending false data. EPPI also takes advantage of a dynamic reward allocation scheme to maximize the value of the services under a budget constraint. To the best of our knowledge, EPPI is the first attempt to build an incentive mechanism while maintaining the desired privacy-preserving in participatory sensing systems. Extensive simulation and analysis results show that EPPI can achieve high anonymity level and remarkable incentive effects.
  • Keywords
    budgeting data processing; data privacy; electronic money; incentive schemes; mobile computing; protocols; E-cent-based privacy-preserving incentive mechanism; EPPI; anonymity level; budget constraint; dynamic reward allocation scheme; false data; mobile devices; participatory sensing application; participatory sensing systems; pledge-based participating protocol; unit bearer currency; Dynamic scheduling; Heuristic algorithms; Privacy; Protocols; Resource management; Sensors; Servers; bearer unit digital currency; dynamic reward allocation; incentive mechanism; participatory sensing; privacy preserving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Computing and Communications Conference (IPCCC), 2014 IEEE International
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/PCCC.2014.7017066
  • Filename
    7017066