Mobile Networks and Applications

, Volume 19, Issue 1, pp 88–100 | Cite as

A Reputation Framework for Social Participatory Sensing Systems



Social participatory sensing is a newly proposed paradigm that tries to address the limitations of participatory sensing by leveraging online social networks as an infrastructure. A critical issue in the success of this paradigm is to assure the trustworthiness of contributions provided by participants. In this paper, we propose an application-agnostic reputation framework for social participatory sensing systems. Our framework considers both the quality of contribution and the trustworthiness level of participant within the social network. These two aspects are then combined via a fuzzy inference system to arrive at a final trust rating for a contribution. A reputation score is also calculated for each participant as a resultant of the trust ratings assigned to him. We adopt the utilization of PageRank algorithm as the building block for our reputation module. Extensive simulations demonstrate the efficacy of our framework in achieving high overall trust and assigning accurate reputation scores.


Reputation framework Trust Participatory sensing Online social networks Data quality Urban sensing Fuzzy logic Ranking algorithms 


  1. 1.
    Burke J, Estrin D, et al (2006) Participatory sensing. In: WSW workshop, ACM SenSys’06Google Scholar
  2. 2.
    Reddy S, Parker A, et al (2007) Image browsing, processing, and clustering for participatory sensing: lessons from a dietsense prototype. In: ACM EmNets’07Google Scholar
  3. 3.
    Dong Y, Kanhere SS, Chou CT, Liu RP (2011) Automatic image capturing and processing for petrolwatch. In: ICON’11Google Scholar
  4. 4.
    Rana RK, Chou CT, Kanhere SS, Bulusu N, Hu W (2010) Ear-phone: an end-to-end participatory urban noise mapping. In: ACM/IEEE IPSN’10Google Scholar
  5. 5.
    Reddy S, Estrin D, Srivastava M (2010) Recruitment framework for participatory sensing data collections. In: Pervasive’10Google Scholar
  6. 6.
    Krontiris I, Freiling F (2010) Integrating people-centric sensing with social networks: a privacy research agenda. In: IEEE PERCOM’10Google Scholar
  7. 7.
    Krontiris I, Freiling F (2010) Urban sensing through social networks: the tension between participation and privacy. In: ITWDC’10Google Scholar
  8. 8.
    Camenisch J, Hohenberger S, Lysyanskaya A (2006) Balancing accountability and privacy using e-cash. In: SCN’06Google Scholar
  9. 9.
    Demirbas M, Bayir MA, Akcora CG, et al (2010) Crowd-sourced sensing and collaboration using twitter. In: IEEE WoWMoM’10Google Scholar
  10. 10.
    Allahbakhsh M, Benatallah B, Ignjatovic A, Motahari-Nezhad HR, Bertino E, Dustdar S (2013) Quality control in crowdsourcing systems: issues and directions. IEEE Internet Comput 17(2):76–81CrossRefGoogle Scholar
  11. 11.
    Louta M, Kraounakis S, Michalas A (2010) A survey on reputation-based cooperation enforcement schemes in wireless ad hoc networks. In: WINSYS’10Google Scholar
  12. 12.
    Selvaraj C, Anand Sh (2012) A survey on security issues of reputation management systems for peer-to-peer networks. Comput Sci Rev 6(4):145–160CrossRefGoogle Scholar
  13. 13.
    Dua A, Bulusu N, Feng WC, Hu W (2009) Towards trustworthy participatory sensing. In: HotSec’09Google Scholar
  14. 14.
    Gilbert P, Jung J, et al (2011) YouProve: authenticity and fidelity in mobile sensing. In: ACM SenSys’11Google Scholar
  15. 15.
  16. 16.
    Ganeriwal S, et al (2008) Reputation-based framework for high integrity sensor networks. In: ACM TOSN’08, vol 4, p 3, pp 1–37Google Scholar
  17. 17.
    Commerce BE, Jsang A, Ismail R (2002) The beta reputation system. In: Bled electronic commerce conferenceGoogle Scholar
  18. 18.
    Huang KL, Kanhere SS, Hu W (2011) On the need for a reputation system in mobile phone based sensing. Ad Hoc NetworksGoogle Scholar
  19. 19.
    Kenney J, Keeping E (1962) Mathematics of statistics, part 1. Van Nostrand, PrincetonGoogle Scholar
  20. 20.
    Huang KL, Kanhere SS, Hu WA Privacy-preserving reputation system for participatory sensing. IEEE LCN’12Google Scholar
  21. 21.
    Christin D, Kanhere SS, et al (2013) IncogniSense: an anonymity-preserving reputation framework for participatory sensing applications. In: Pervasive and mobile Computing’13Google Scholar
  22. 22.
    Wang X, et al (2013) ARTSense: anonymous reputation and trust in participatory sensing. In: IEEE Infocom’13Google Scholar
  23. 23.
    Papadimitriou S, Kitagawa H, Gibbons P, Faloutsos C (2003) Loci: fast outlier detection using the local correlation integral. In: IEEE ICDE’03Google Scholar
  24. 24.
    Alkouz A, Luca EWD, Albayrak S (2011) Latent semantic social graph model for expert discovery in facebook. In: IICS’11Google Scholar
  25. 25.
    Alt F, Shirazi AS, et al (2010) Location-based crowdsourcing: extending crowdsourcing to the real world. In: ACM NordiCHI’10Google Scholar
  26. 26.
    Leekwijck W, Kerre EE (1999) Defuzzification: criteria and classification. Fuzzy Sets Syst 108(2):159–178CrossRefMATHGoogle Scholar
  27. 27.
    Jøsang A, Ismail R, Boyd C (2007) A survey of trust and reputation systems for online service provision. J Decis Support Syst 43(2):18–644CrossRefGoogle Scholar
  28. 28.
    Brin S, Page L, et al (1998) The PageRank citation ranking: bringing order to the web. Technical report, Stanford Digital Library Technologies ProjectGoogle Scholar
  29. 29.
    Kamvar S, Haveliwala T, et al (2003) Exploiting the block structure of the web for computing PageRank. Technical Report Stanford UniversityGoogle Scholar
  30. 30.
    Amintoosi H, Kanhere SS (2012) A trust framework for social participatory sensing systems, in press. In: MobiQuitous 2012, ChinaGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.The University of New South WalesSydneyAustralia

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