Abstract
Mobile Crowd Sensing (MCS) presents numerous and unique research challenges most of them based on the fact that human participation is in the loop. In this paper we analyse three of the most important: user participation, data sensing quality and user anonymity. To solve them, we present PaySense, a general framework for user rewarding and reputation accountability that preserves users’ privacy using cryptocurrencies. Furthermore, we detailed an implementable system using bitcoins.
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Notes
- 1.
The interested reader can refer to [20] for detailed information on the bitcoin system.
- 2.
Note that the concept of certified address does not exist in the bitcoin system, but a characteristic of PaySense as described in Sect. 4.2.
- 3.
Although bitcoin addresses do not expire, we apply the concept of expiration to the certificate issued by the ACA. When an address “expires” it cannot be used in the MCS system but it is still a valid and usable bitcoin standard address.
- 4.
The binding factor depends on the selected digital signature. Although it has been represented as a function for clarity, the blinding factor is a specific an unrelated value for each different CSR to blind.
- 5.
In a simplest bitcoin transaction, the inputs block and the outputs bock contain exactly one single address.
References
Amintoosi, H., Kanhere, S.S.: A reputation framework for social participatory sensing systems. Mobile Netw. Appl. 19(1), 88–100 (2013). http://link.springer.com/10.1007/s11036-013-0455-x
Androulaki, E., Choi, S.G., Bellovin, S.M., Malkin, T.: Reputation systems for anonymous networks. In: Borisov, N., Goldberg, I. (eds.) PETS 2008. LNCS, vol. 5134, pp. 202–218. Springer, Heidelberg (2008)
Bissias, G., Ozisik, A.P., Levine, B.N., Liberatore, M.: Sybil-resistant mixing for bitcoin. In: Proceedings of the 13th ACM Workshop on Privacy in the Electronic Society. WPES ’14, NY, USA. ACM, New York (2014)
Bonneau, J., Narayanan, A., Miller, A., Clark, J., Kroll, J.A., Felten, E.W.: Mixcoin: anonymity for bitcoin with accountable mixes. In: Christin, N., Safavi-Naini, R. (eds.) FC 2014. LNCS, vol. 8437, pp. 481–499. Springer, Heidelberg (2014). http://link.springer.com/chapter/10.1007/978-3-662-45472-5_31
Brereton, M., Roe, P., Foth, M., Bunker, J.M., Buys, L.: Designing participation in agile ridesharing with mobile social software. In: Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group: Design: Open 24/7. OZCHI ’09, NY, USA , pp. 257–260 . ACM, New York (2009). http://doi.acm.org/10.1145/1738826.1738868
Christin, D., Roßkopf, C., Hollick, M., Martucci, L.A., Kanhere, S.S.: IncogniSense: an anonymity-preserving reputation framework for participatory sensing applications. Pervasive Mobile Comput. 9(3), 353–371 (2013). http://linkinghub.elsevier.com/retrieve/pii/S1574119213000382
Derlath, J.: Gamification - What is the benefit for community management (2013)
Dutta, P., Aoki, P.M., Kumar, N., Mainwaring, A., Myers, C., Willett, W., Woodruff, A.: Common sense. In: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems - SenSys ’09, New York, USA, p. 349. ACM, New York, August 2009. http://dl.acm.org/citation.cfm?id=1644038.1644095
Eisenman, S.B., Miluzzo, E., Lane, N.D., Peterson, R.A., Ahn, G.S., Campbell, A.T.: BikeNet. ACM Trans. Sens. Netw. 6(1), 1–39 (2009). http://dl.acm.org/citation.cfm?id=1653760.1653766
Maxwell, G.: Coinjoin: Bitcoin privacy for the real world. https://bitcointalk.org/index.php?topic=279249. Aug 2013, 17 Jun 2015
Jøsang, A., Ismail, R., Boyd, C.: A survey of trust and reputation systems for online service provision. Decis. Support Syst. 43(2), 618–644 (2007). http://www.sciencedirect.com/science/article/pii/S0167923605000849
Koutsopoulos, I.: Optimal incentive-driven design of participatory sensing systems. In: 2013 IEEE Proceedings of INFOCOM, pp. 1402–1410, April 2013
Krontiris, I., Maisonneuve, N.: Participatory sensing: the tension between social translucence and privacy. In: Salgarelli, L., Bianchi, G., Blefari-Melazzi, N. (eds.) Trustworthy Internet, pp. 159–170. Springer, Heidelberg (2011). http://link.springer.com/chapter/10.1007/978-88-470-1818-1_12
Lane, N.D., Eisenman, S.B., Musolesi, M., Miluzzo, E., Campbell, A.T.: Urban sensing systems: opportunistic or participatory?. In: Proceedings of the 9th Workshop on Mobile Computing Systems and Applications. HotMobile ’08, NY, USA, pp. 11–16. ACM, New York (2008). http://doi.acm.org/10.1145/1411759.1411763
Li, Q., Cao, G.: Providing privacy-aware incentives for mobile sensing. In: IEEE International Conference on Pervasive, pp. 76–84. No. March, San Diego (2013). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6526717
Miranda, H., Rodrigues, L.: A framework to provide anonymity in reputation systems. In: 2006 3rd Annual International Conference on Mobile and Ubiquitous Systems - Workshops, pp. 1–4, July 2006. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4205248
Mohan, P., Padmanabhan, V.N., Ramjee, R.: Nericell. In: Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems - SenSys ’08, New York, USA, p. 323. ACM, New York, November 2008. http://dl.acm.org/citation.cfm?id=1460412.1460444
Resnick, P., Kuwabara, K., Zeckhauser, R., Friedman, E.: Reputation systems. Commun. ACM 43(12), 45–48 (2000). http://doi.acm.org/10.1145/355112.355122
Tanas, C., Herrera-Joancomartí, J.: When users become sensors: Can we trust their readings? International Journal of Communication Systems: published online in Wiley. Online Library (2013). doi:10.1002/dac.2689
The Bitcoin Wiki: A general overview of the bitcoin system and economy (2014). https://en.bitcoin.it/wiki/Introduction
torproject: Tor, 17 June 2015. https://www.torproject.org/about/overview.html.en
Werbach, K.: For the Win: How Game Thinking Can Revolutionize Your Business. Wharton Digital Press (2012). http://www.amazon.co.uk/For-Win-Thinking-Revolutionize-Business/dp/1613630239
Yang, D., Xue, G., Fang, X., Tang, J.: Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing. In: Proceedings of the 18th Annual International Conference on Mobile Computing and Networking, pp. 173–184. Mobicom ’12, NY, USA. ACM, New York (2012). http://doi.acm.org/10.1145/2348543.2348567
Zhong, S., Li, L.E., Liu, Y.G., Yang, Y.R.: On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks. Wirel. Netw. 13(6), 799–816 (2006). http://link.springer.com/10.1007/s11276-006-9855-1
Acknowledgments
This work is partially supported by the spanish ministry under grant number TIN2014-55243-P and the Catalan AGAUR grant 2014SGR-691.
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Tanas, C., Delgado-Segura, S., Herrera-Joancomartí, J. (2016). An Integrated Reward and Reputation Mechanism for MCS Preserving Users’ Privacy. In: Garcia-Alfaro, J., Navarro-Arribas, G., Aldini, A., Martinelli, F., Suri, N. (eds) Data Privacy Management, and Security Assurance. DPM QASA 2015 2015. Lecture Notes in Computer Science(), vol 9481. Springer, Cham. https://doi.org/10.1007/978-3-319-29883-2_6
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