Abstract
Reputation systems represent soft security mechanisms that complement traditional information security mechanisms. They are now widely used in online e-commerce markets and communities in order to stimulate good behaviors as well as to restrain adverse behaviors. This paper analyzes the limitations of the conversational reputation models and proposes an incentive reputation model called the resilient reputation model (RRM) for the distributed reputation systems. The objective of this reputation model is not only to encourage the users to provide good services and, therefore, to maximize the probability of good transaction outcomes, but also to punish those adverse users who are trying to manipulate the application systems. The simulation results indicate that the proposed reputation model (RRM) could effectively resist against the common adverse behaviors, while protecting the profits of sincere users from being blemished by those adversaries.
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References
Chrysanthos D. Reputation mechanism mesign in online trading environments with pure moral hazard. Inf Syst Res, 2005, 16(2): 209–230
Kevin W, Emin G S. Experience with an object reputation system for peer-to-peer filesharing. In: NSDI’06: Proceedings of the 3rd conference on 3rd Symposium on Networked Systems Design & Implementation, Berkeley, CA, USA. USENIX Association, 2006, 1–14
Luke T, Jigar P, Nicholas R, et al. TRAVOS: Trust and reputation in the context of inaccurate information sources. Auton Agents Multi-Agent Syst, 2006, 12(2): 183–198
Resnick P, Kuwabara K, Zeckhauser R, et al. Reputation systems. Commun ACM, 2000, 43(12): 45–48
Josang A, Ismail R, Boyd C. A survey of trust and reputation systems for online service provision. Dec Supp Syst, 2007, 43(2): 618–644
Chang E, Dillon T S, Hussain F K. Trust and reputation relationships in service-oriented environments. In: Proceedings of 3rd International Conference on Information Technology and Applications (ICITA 2005). Sydney: IEEE, 2005. 4–14
Jurca R, Faltings. An Incentive compatible reputation mechanism. In: Proceedings of the IEEE International Conference on E-Commerce, 2003. 285–292
Trung D H, Nicholas R J, Nigel R S. An integrated trust and reputation model for open multi-agent systems. Auton Agents Multi-Agent Syst, 2006, 13(2): 119–154
Marti S, Garcia M H. Taxonomy of trust: categorizing p2p reputation systems. Comp Netw, 2006, 50(4): 472–484
Xiong L, Liu L. PeerTrust: Supporting reputation-based trust for peer-to-peer electronic communities. IEEE Trans Knowl Data Engin, 2004, 16(7): 843–857
Abdul-Rahman A, Hailes S. A distributed trust model. In: Proceedings of New Security Paradigms Workshop. New York: ACM, 1997. 48–60
Papaioannou T G, Stamoulis G D. Effective use of reputation in peer-to-peer environments. In: Proceedings of IEEE International Symposium on Cluster Computing and the Grid, 2004. 259–268
Jurca R, Faltings B. Towards incentive-compatible reputation management. Trust Reput Secur, AAMAS Int Workshop, 2002. 138–147
Josang A, Ismail R. The beta reputation system. In: Proceedings of the 15th Bled Conference on Electronic Commerce, 2002. 324–337
eBay. The world’s online marketplace, http://www.ebay.com
Resnick P, Zeckhauser R, Swanson J, et al. The value of reputation on eBay: A controlled experiment. Exp Econ, 2006, 9(2): 79–101
Houser D, Wooders J. Reputation in auctions: Theory and evidence from eBay. J Econ Managt Strat, 2007, 15(2): 353–370
Dellarocas C. Efficiency and robustness of eBay-like online feedback mechanisms in environments with moral hazard. Working paper, Sloan School of Management, MIT, Cambridge, MA, 2003
Repast 3: Recursive porous agent simulation toolkit. Version 3. http://repast.sourceforge.net
North M J, Collier N T, Vos J R. Experiences creating three implementations of the repast agent modeling toolkit. ACM Trans Model Comp Simul, 2006, 16(1): 1–25
Rasmusson L, Jansson S. Simulated social control for secure internet commerce. New Security Paradigms Workshop, New York: ACM, 1996. 18–26
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Supported by the National Basic Research Program of China (973 Program) (Grant No. 2003CB314800), the National Natural Science Foundation of China (Grant No. 60203044) and the 242 Program (Grant No. (242)2007A07)
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Zhang, H., Duan, H. & Liu, W. RRM: An incentive reputation model for promoting good behaviors in distributed systems. Sci. China Ser. F-Inf. Sci. 51, 1871–1882 (2008). https://doi.org/10.1007/s11432-008-0141-y
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DOI: https://doi.org/10.1007/s11432-008-0141-y