Abstract
In participatory sensing, the task center is not always trustworthy. It may try to profile the participants by data mining, which is a great threat to the privacy of participants. The data exchange strategy can mix data and preserve privacy of participants well. But this requires cooperation among participants. To solve this problem, a trust management mechanism is presented to encourage neighboring participants to be collaborative. And the tit for tat strategy is employed to punish malicious neighboring participants. The analysis based on game theory shows that the reasonable neighboring participants will choose the cooperative strategy in data exchange with well-designed parameter settings.
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References
Reddy, S., Parker, A., Hyman, J., Burke, J., Estrin, D., Hansen, M.: Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype. In: Proceedings of the 4th Workshop on Embedded Networked Sensors, pp. 13–17 (2007)
Rana, R.K., Chou, C.T., Kanhere, S.S., Bulusu, N., Hu, W.: Ear-phone: an end-to-end participatory urban noise mapping system. In: Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, pp. 105–116 (2010)
Eisenman, S.B., Miluzzo, E., Lane, N.D., Peterson, R.A., Ahn, G.-S., Campbell, A.T.: BikeNet: a mobile sensing system for cyclist experience mapping. ACM Trans. Sensor Netw. (TOSN) 6(1), 6 (2009)
Christin, D., Guillemet, J., Reinhardt, A., Hollick, M., Kanhere, S.S.: Privacy-preserving collaborative path hiding for participatory sensing applications. In: 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems, pp. 341–350 (2011)
Guo, J., Chen, I.-R., Wang, D.-C., Tsai, J.J.P., Al-Hamadi, H.: Trust-based IoT cloud participatory sensing of air quality. Wirel. Pers. Commun. 105(4), 1461–1474 (2019)
Christin, D., Roßkopf, C., Hollick, M., Martucci, L.A., Kanhere, S.S.: IncogniSense: an anonymity-preserving reputation framework for participatory sensing applications. Pervasive Mob. Comput. 9(3), 353–371 (2013)
Chaum, D.L.: Untraceable electronic mail, return addresses, and digital pseudonyms. Commun. ACM 4(2), 84–90 (2003)
Josang, A., Ismail, R.: The beta reputation system. In: Proceedings of the 15th Bled Electronic Commerce Conference, vol. 5, pp. 2502–2511 (2002)
Kandori, M.: Introduction to repeated games with private monitoring. J. Econ. Theory 102(1), 1–15 (2002)
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Zhang, T., Zhang, R., Wang, J. (2021). Encouraging Cooperation in Participatory Sensing with Reputation and Game Analysis. In: WU, C.H., PATNAIK, S., POPENTIU VLÃDICESCU, F., NAKAMATSU, K. (eds) Recent Developments in Intelligent Computing, Communication and Devices. ICCD 2019. Advances in Intelligent Systems and Computing, vol 1185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5887-0_6
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DOI: https://doi.org/10.1007/978-981-15-5887-0_6
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