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Privacy, Trust and Incentives in Participatory Sensing

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Participatory Sensing, Opinions and Collective Awareness

Part of the book series: Understanding Complex Systems ((UCS))

Abstract

In this chapter, we study the socioeconomic issues that can arise in distributed computing environments such as distributed and open, participatory sensing systems. Due to the decentralized nature of such systems, they present many challenges, some of which are equally socioeconomic and technical in essence. Three such major challenges arise in participatory sensing, one economic and two social. The economic problem is centered around the provision of incentives. How can participants be provided with incentives to ensure that they contribute to the system; that they provide sensed data when requested; and take part in various sensing activities?

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References

  • Amintoosi, H., Kanhere, S.S.: A reputation framework for social participatory sensing systems. Mobile Netw. Appl. 19(1), 88–100 (2014)

    Article  Google Scholar 

  • Amintoosi, H., Kanhere, S.S.: A trust-based recruitment framework for multi-hop social participatory sensing. In: 2013 IEEE International Conference on Distributed Computing in Sensor Systems, pp. 266–273 (2013)

    Google Scholar 

  • Axelrod, R., Hamilton, W.D.: The evolution of cooperation. Science 211(4489), 1390–1396 (1981)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  • Castelluccia, C., Mykletun, E., Tsudik, G.: Efficient aggregation of encrypted data in wireless sensor networks. In: The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous 2005), pp. 109–117. IEEE, New York (2005)

    Google Scholar 

  • Chaum, D.: Blind signatures for untraceable payments. In: Advances in Cryptology Proceedings of Crypto 82, pp. 199–203 (1983)

    MathSciNet  MATH  Google Scholar 

  • Christin, D., Reinhardt, A., Kanhere, S.S., Hollick, M.: A survey on privacy in mobile participatory sensing applications. J. Syst. Softw. 84(11), 1928–1946 (2011)

    Article  Google Scholar 

  • Christin, D., Pons-Sorolla, D.R., Kanhere, S.S., Hollick, M.: Trustmeter: a trust assessment framework for collaborative path hiding in participatory sensing applications. Technical Report, Technische Universität Darmstadt (2012)

    Google Scholar 

  • 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)

    Article  Google Scholar 

  • Cornelius, C., Kapadia, A., Kotz, D., Peebles, D., Shin, M., Triandopoulos, N.: Anonysense: privacy-aware people-centric sensing. In: Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services, MobiSys ’08, pp. 211–224. ACM, New York (2008)

    Google Scholar 

  • De Cristofaro, E., Soriente, C.: Short paper: pepsi - privacy-enhanced participatory sensing infrastructure. In: Proceedings of the Fourth ACM Conference on Wireless Network Security, WISEC ’11, pp. 23–28. ACM, New York (2011)

    Google Scholar 

  • Deng, L., Cox, L.P.: Livecompare: grocery bargain hunting through participatory sensing. In: Proceedings of the 10th Workshop on Mobile Computing Systems and Applications, p. 4. ACM, New York (2009)

    Google Scholar 

  • Dimitriou, T., Krontiris, I., Sabouri, A.: Pepper: a querier’s privacy enhancing protocol for participatory sensing. In: Security and Privacy in Mobile Information and Communication Systems, vol. 107, pp. 93–106. Springer, Berlin, Heidelberg (2012)

    Google Scholar 

  • Dingledine, R., Mathewson, N., Syverson, P.: Tor: the second-generation onion router. In: Proceedings of the 13th Conference on USENIX Security Symposium, SSYM’04, vol. 13, pp. 21–21. USENIX Association, Berkeley, CA (2004)

    Google Scholar 

  • Domingo-Ferrer, J., Mateo-Sanz, J.M.: Practical data-oriented microaggregation for statistical disclosure control. IEEE Trans. Knowl. Data Eng. 14(1), 189–201 (2002)

    Article  Google Scholar 

  • Dua, A., Bulusu, N., Feng, W.-C., Hu, W.: Towards trustworthy participatory sensing. In: Proceedings of the 4th USENIX Conference on Hot Topics in Security, HotSec’09, pp. 8–8. USENIX Association, Berkeley, CA (2009)

    Google Scholar 

  • Erfani, S.M., Karunasekera, S., Leckie, C., Parampalli, U.: Privacy-preserving data aggregation in participatory sensing networks. In: 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp. 165–170 (2013)

    Google Scholar 

  • Ganeriwal, S., Balzano, L.K., Srivastava, M.B.: Reputation-based framework for high integrity sensor networks. ACM Trans. Sens. Netw. 4(3), 15:1–15:37, June 2008.

    Google Scholar 

  • Ganti, R.K. Pham, N., Tsai, Y.-E., Abdelzaher, T.F.: Poolview: stream privacy for grassroots participatory sensing. In: Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, SenSys ’08, pp. 281–294. ACM, New York (2008)

    Google Scholar 

  • Gilbert, P., Cox, L.P., Jung, J., Wetherall, D.: Toward trustworthy mobile sensing. In: Proceedings of the Eleventh Workshop on Mobile Computing Systems and Applications, HotMobile ’10, pp. 31–36. ACM, New York (2010)

    Google Scholar 

  • He, W., Liu, X., Nguyen, H., Nahrstedt, K., Abdelzaher, T.: Pda: privacy-preserving data aggregation in wireless sensor networks. In: 26th IEEE International Conference on Computer Communications, pp. 2045–2053. IEEE, New york (2007)

    Google Scholar 

  • Hu, L., Shahabi, C.: Privacy assurance in mobile sensing networks: go beyond trusted servers. In: 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 613–619 (2010)

    Google Scholar 

  • Huang, K.L., Kanhere, S.S., Hu, W.: Are you contributing trustworthy data?: the case for a reputation system in participatory sensing. In: Proceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, MSWIM ’10, pp. 14–22. ACM, New York (2010)

    Google Scholar 

  • Huang, K.L., Kanhere, S.S., Hu, W.: Preserving privacy in participatory sensing systems. Comput. Commun. 33(11), 1266–1280 (2010)

    Article  Google Scholar 

  • Huang, K.L., Kanhere, S.S., Hu, W.: A privacy-preserving reputation system for participatory sensing. In: 37th Annual IEEE Conference on Local Computer Networks, pp. 10–18 (2012)

    Google Scholar 

  • Jaimes, L.G., Vergara-Laurens, I., Labrador, M.A.: A location-based incentive mechanism for participatory sensing systems with budget constraints. In: 2012 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 103–108. IEEE, New York (2012)

    Google Scholar 

  • Johnson, P., Kapadia, A., Kotz, D., Triandopoulos, N., Hanover, N.H.: People-centric urban sensing: security challenges for the new paradigm. Technical report, Dartmouth College, Computer Science, Hanover, NH (2007)

    Google Scholar 

  • Kapadia, A., Triandopoulos, N., Cornelius, C., Peebles, D., Kotz, D.: Anonysense: opportunistic and privacy-preserving context collection. In: Pervasive Computing. Lecture Notes in Computer Science, vol. 5013, pp. 280–297. Springer, Berlin, Heidelberg (2008)

    Google Scholar 

  • Kawasaki, H., Yamamoto, A., Kurasawa, H., Sato, H., Nakamura, M., Matsumura, H.: Top of worlds: method for improving motivation to participate in sensing services. In: Proceedings of the 2012 ACM Conference on Ubiquitous Computing, pp. 594–595. ACM, New York (2012)

    Google Scholar 

  • Kazemi, L., Shahabi, C.: A privacy-aware framework for participatory sensing. SIGKDD Explor. Newsl. 13(1), 43–51 (2011)

    Article  Google Scholar 

  • Kazemi, L., Shahabi, C.: Towards preserving privacy in participatory sensing. In: 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 328–331 (2011)

    Google Scholar 

  • Kazemi, L., Shahabi, C.: TAPAS: trustworthy privacy-aware participatory sensing. Knowl. Inf. Syst. 37(1), 105–128 (2013). doi:10.1007/s10115-012-0573-y. http://dx.doi.org/10.1007/s10115-012-0573-y

    Article  Google Scholar 

  • Kido, H., Yanagisawa, Y., Satoh, T.: An anonymous communication technique using dummies for location-based services. In: Proceedings of International Conference on Pervasive Services, ICPS ’05, pp. 88–97 (2005)

    Google Scholar 

  • Krause, A., Horvitz, E., Kansal, A., Zhao, F.: Toward community sensing. In: Proceedings of the 7th International Conference on Information Processing in Sensor Networks, IPSN ’08, pp. 481–492. IEEE Computer Society, Washington, DC (2008)

    Google Scholar 

  • Krontiris, I., Albers, A.: Monetary incentives in participatory sensing using multi-attributive auctions. Int. J. Parallel Emergent Distrib. Syst. 27(4), 317–336 (2012)

    Article  Google Scholar 

  • Krontiris, I., Dimitriou, T.: Privacy-respecting discovery of data providers in crowd-sensing applications. In: 9th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS’13 (2013)

    Google Scholar 

  • Lan, K.C., Wang, H.Y.: On providing incentives to collect road traffic information. In: International Wireless Communications and Mobile Computing Conference (IWCMC 13) (2013)

    Google Scholar 

  • Lee, J.S., Hoh, B.: Sell your experiences: a market mechanism based incentive for participatory sensing. In: 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 60–68. IEEE, New York (2010)

    Google Scholar 

  • Li, Q., Cao, G.: Providing privacy-aware incentives for mobile sensing. In: IEEE International Conference on Pervasive Computing and Communications (PerCom), vol. 18, p. 22 (2013)

    MathSciNet  Google Scholar 

  • Lim, H.-S., Moon, Y.-S. Bertino, E.: Provenance-based trustworthiness assessment in sensor networks. In: Proceedings of the Seventh International Workshop on Data Management for Sensor Networks, DMSN ’10, pp. 2–7. ACM, New York, (2010)

    Google Scholar 

  • Lu, H., Jensen, C.S., Yiu, M.N.: Pad: privacy-area aware, dummy-based location privacy in mobile services. In: Proceedings of the Seventh ACM International Workshop on Data Engineering for Wireless and Mobile Access, MobiDE ’08, pp. 16–23. ACM, New York (2008)

    Google Scholar 

  • Luo, T., Tham, C.-K.: Fairness and social welfare in incentivizing participatory sensing. In: 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp. 425–433. IEEE, New York (2012)

    Google Scholar 

  • Machanavajjhala, A., Kifer, D., Gehrke, J., Venkitasubramaniam, M.: L-diversity: Privacy Beyond K-anonymity. ACM Trans. Knowl. Discov. Data 1(1), article no. 3 (2007). doi:10.1145/1217299.1217302. http://doi.acm.org/10.1145/1217299.1217302

  • Mawji, A., Hassanein, H.: A utility-based incentive scheme for p2p file sharing in mobile ad hoc networks. In: IEEE International Conference on Communications, ICC’08, pp. 2248–2252. IEEE, New York (2008)

    Google Scholar 

  • Mun, M., Reddy, S., Shilton, K., Yau, N., Burke, J., Estrin, E., Hansen, M., Howard, E., West, R., Boda, P.: Peir, the personal environmental impact report, as a platform for participatory sensing systems research. In: Proceedings of the 7th International Conference on Mobile Systems, Applications, and Services, MobiSys ’09, pp. 55–68. ACM, New York, (2009)

    Google Scholar 

  • Pham, N., Ganti, R.K., Uddin, Y.S., Nath, S., Abdelzaher, T.: Privacy-preserving reconstruction of multidimensional data maps in vehicular participatory sensing. In: Proceedings of the 7th European Conference on Wireless Sensor Networks, EWSN’10, pp. 114–130. Springer, Berlin, Heidelberg (2010)

    Google Scholar 

  • Puttaswamy, K.P.N., Bhagwan, R., Padmanabhan, V.N.: Anonygator: privacy and integrity preserving data aggregation. In: Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware, Middleware ’10, pp. 85–106. Springer, Berlin, Heidelberg (2010)

    Google Scholar 

  • Reddy, S., Estrin, D., Hansen, M., Srivastava, M.: Examining micro-payments for participatory sensing data collections. In: Proceedings of the 12th ACM International Conference on Ubiquitous Computing, pp. 33–36. ACM, New York (2010)

    Google Scholar 

  • Reddy, S., Estrin, D., Srivastava, M.: Recruitment framework for participatory sensing data collections. In: Proceedings of the 8th International Conference on Pervasive Computing, Pervasive’10, pp. 138–155. Springer, Berlin, Heidelberg (2010)

    Google Scholar 

  • Rodhe, I., Rohner, C., Ngai, E.C.-H.: On location privacy and quality of information in participatory sensing. In: Proceedings of the 8th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet ’12, pp. 55–62. ACM, New York (2012)

    Google Scholar 

  • Schweizer, I., Meurisch, C., Gedeon, J., Bärtl, R., Mühlhäuser, M.: Noisemap: multi-tier incentive mechanisms for participative urban sensing. In: Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones, p. 9. ACM, New York (2012)

    Google Scholar 

  • Shi, J., Zhang, R., Liu, Y., Zhang, Y.: Prisense: privacy-preserving data aggregation in people-centric urban sensing systems. In: Proceedings of the 29th Conference on Information Communications, INFOCOM’10, pp. 758–766. IEEE, Piscataway, NJ (2010)

    Google Scholar 

  • Shin, M., Cornelius, C., Peebles, D., Kapadia, A., Kotz, D., Triandopoulos, N.: Anonysense: a system for anonymous opportunistic sensing. Pervasive Mob. Comput. 7(1), 16–30 (2011)

    Article  Google Scholar 

  • Shokri, R., Troncoso, C., Diaz, C., Freudiger, J., Hubaux, J.-P.: Unraveling an old cloak: k-anonymity for location privacy. In: Proceedings of the 9th Annual ACM Workshop on Privacy in the Electronic Society, WPES ’10, pp. 115–118. ACM, New York (2010)

    Google Scholar 

  • Sweeney, L.: k-anonymity: a model for protecting privacy. Int. J. Uncertainty Fuzziness Knowledge Based Syst. 10(5), 557–570 (2002)

    Google Scholar 

  • Thepvilojanapong, N., Tsujimori, T., Wang, H., Ohta, Y., Zhao, Y., Tobe, Y.: Impact of incentive mechanism in participatory sensing environment. In: SMART 2013: The Second International Conference on Smart Systems, Devices and Technologies. IARIA, pp. 88–92 (2013). ISBN: 978-1-61208-282-0

    Google Scholar 

  • Wang, X., Govindan, K., Mohapatra, P.: Collusion-resilient quality of information evaluation based on information provenance. In: 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp. 395–403 (2011)

    Google Scholar 

  • Wang, X.O., Cheng, W., Mohapatra, P., Abdelzaher, T.F.: ARTSense: anonymous reputation and trust in participatory sensing. In: INFOCOM, 2013 Proceedings IEEE, pp. 2517–2525. IEEE, New York (2013). http://dblp.uni-trier.de/db/conf/infocom/infocom2013.html#WangCMA13

  • Yang, H., Zhang, J., Roe, P.: Using reputation management in participatory sensing for data classification. Procedia Comput. Sci. 5, 190–197 (2011) The 2nd International Conference on Ambient Systems, Networks and Technologies (ANT-2011)/The 8th International Conference on Mobile Web Information Systems (MobiWIS 2011).

    Google Scholar 

  • You, T.-H., Peng, W.-C., Lee, W.-C.: Protecting moving trajectories with dummies. In: Proceedings of the 2007 International Conference on Mobile Data Management, MDM ’07, pp. 278–282. IEEE Computer Society, Washington, DC (2007)

    Google Scholar 

  • Yu, Y., Li, K., Zhou, W., Li, P.: Trust mechanisms in wireless sensor networks: attack analysis and countermeasures. J. Netw. Comput. Appl. 35(3), 867–880 (2012)

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

    Mehdi Riahi, Rameez Rahman & Karl Aberer

Authors
  1. Mehdi Riahi
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  2. Rameez Rahman
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  3. Karl Aberer
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Correspondence to Mehdi Riahi .

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Editors and Affiliations

  1. Department of Physics, Sapienza University of Rome, Rome, Italy

    Vittorio Loreto

  2. Department of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom

    Muki Haklay

  3. Julius-Maximilians-University Würzburg , Würzburg, Germany

    Andreas Hotho

  4. Department of Physics, Sapienza University of Rome, Rome, Italy

    Vito D.P. Servedio

  5. Department of Electrical Engineering and Computer Science, University of Kassel, Kassel, Germany

    Gerd Stumme

  6. VITO—Flemish Institute for Technological Research, Mol, Belgium

    Jan Theunis

  7. Institute for Scientific Interchange Foundation, Torino, Italy

    Francesca Tria

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Riahi, M., Rahman, R., Aberer, K. (2017). Privacy, Trust and Incentives in Participatory Sensing. In: Loreto, V., et al. Participatory Sensing, Opinions and Collective Awareness. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-25658-0_5

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