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Privacy-Preserving and Co-utile Distributed Social Credit

  • Josep Domingo-FerrerEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10765)

Abstract

Reputation is a powerful incentive for agents to abide by the prescribed rules of an interaction. In computer science, reputation can be phrased as being an artificial incentive that can turn into self-enforcing protocols that would not be such otherwise. Quite recently, China has announced a national reputation system that will be launched in the future under the name of social credit system. However, to be generalizable without damaging the privacy of citizens/agents, a reputation system must be decentralized and privacy-preserving. We present a peer-to-peer fully distributed reputation protocol in which the anonymity of both the scoring and the scored agents is maintained. At the same time, the reputation protocol itself is co-utile, that is, the rational option for all agents is to honestly fulfill their part in the protocol.

Keywords

Protocols Reputation P2P Self-enforcement Co-utility Privacy 

Notes

Acknowledgments and Disclaimer

Partial support to this work has been received from the Templeton World Charity Foundation (grant TWCF0095/AB60 “CO-UTILITY”), ARC (grant DP160100913), the European Commission (projects H2020-644024 “CLARUS” and H2020-700540 “CANVAS”), the Government of Catalonia (ICREA Acadèmia Prize) and the Spanish Government (projects TIN2014-57364-C2-1-R “SmartGlacis” and TIN 2015-70054-REDC). The author holds the UNESCO Chair in Data Privacy, but the views in this paper are the author’s own and are not necessarily shared by UNESCO.

References

  1. 1.
    Creemers, R.: China Copyright and Media, 15 March 2018. https://chinacopyrightandmedia.wordpress.com/about/
  2. 2.
    Domingo-Ferrer, J., Farràs, O., Martínez, S., Sánchez, D., Soria-Comas, J.: Self-enforcing protocols via co-utile reputation management. Inf. Sci. 367–368, 159–175 (2016)CrossRefGoogle Scholar
  3. 3.
    Domingo-Ferrer, J., Martínez, S., Sánchez, D., Soria-Comas, J.: Co-utility: self-enforcing protocols for the mutual benefit of participants. Eng. Appl. Artif. Intell. 59, 148–158 (2017)CrossRefGoogle Scholar
  4. 4.
    Domingo-Ferrer, J., Sánchez, D., Soria-Comas, J.: Co-utility - self-enforcing collaborative protocols with mutual help. Prog. Artif. Intell. 5(2), 105–110 (2016)CrossRefGoogle Scholar
  5. 5.
    Hoffman, K., Zage, D., Nita-Rotaru, C.: A survey of attack and defense techniques for reputation systems. ACM Comput. Surv. 42(1) (2009). Article no. 1CrossRefGoogle Scholar
  6. 6.
    Kamvar, S.D., Schlosser, M.T., Garcia-Molina, H.: The EigenTrust algorithm for reputation management in P2P networks. In: Proceedings of the 12th International Conference on World Wide Web, pp. 640–651. ACM (2003)Google Scholar
  7. 7.
    Leyton-Brown, K., Shoham, Y.: Essentials of Game Theory: A Concise Multidisciplinary Introduction. Morgan and Claypool, San Rafael (2008)zbMATHGoogle Scholar
  8. 8.
    Liu, K., Terzi, E.: Towards identity anonymization on graphs. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data - SIGMOD 2008, pp. 93–106. ACM (2008)Google Scholar
  9. 9.
    Marti, S., Garcia-Molina, H.: Taxonomy of trust: categorizing P2P reputation systems. Comput. Netw. 50(4), 472–484 (2006)CrossRefGoogle Scholar
  10. 10.
    Osborne, M., Rubinstein, A.: A Course in Game Theory. MIT Press, Cambridge (1994)zbMATHGoogle Scholar
  11. 11.
    Singh, A., Liu, L.: TrustMe: anonymous management of trust relationships in decentralized P2P systems. In: Proceedings of the Third International Conference on Peer-to-Peer Computing (P2P 2003), pp. 142–149 (2003)Google Scholar
  12. 12.
    Hsu, S.: China’s new social credit system. The Diplomat, 10 May 2015. http://thediplomat.com/2015/05/chinas-new-social-credit-system/
  13. 13.
    Zhou, R., Hwang, K., Cai, M.: GossipTrust for fast reputation aggregation in peer-to-peer networks. IEEE Trans. Knowl. Data Eng. 20(9), 1282–1295 (2008)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.UNESCO Chair in Data Privacy, Department of Computer Science and MathematicsUniversitat Rovira i VirgiliTarragonaCatalonia

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