Abstract
Trust and Reputation Systems (TRSs) represent a significant trend in decision support for Internet-based interactions. They help users to decide whom to trust and how much to trust a transaction. They are also an effective mechanism to encourage honesty and cooperation among users, resulting in healthy online markets or communities. The basic idea is to let parties rate each other so that new public knowledge can be created from personal experiences. The major difficulty in designing a reputation system is making it robust against malicious attacks. Our contribution in this paper is twofold. Firstly, we combine multiple research agendas into a holistic approach to building a robust TRS. Secondly, we focus on one TRS component which is the reputation computing engine and provide a novel investigation into an implementation of the engine proposed in [7].
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References
Dellarocas, C.: Online reputation systems: How to design one that does what you need. MIT Sloan Management Review 51(3) (spring 2010)
Josang, A., Golbeck, J.: Challenges for robust trust and reputation systems. In: Proceedings of the 5th International Workshop on Security and Trust Management, Saint Malo, France (September 2009)
Josang, A., Ismail, R., Boyd, C.: A survey of trust and reputation systems for online service provision. Decision Support Systems 43(2), 618–644 (2007)
MacQueen, J.B.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 281–297 (1967)
Malik, Z., Bouguettaya, A.: Rateweb: Reputation assessment for trust establishment among web services. The International Journal on Very Large Data Bases 18(4), 885–911 (2009)
Marmol, F.G., Perez, G.M.: Trmsim-wsn, trust and reputation models simulator for wireless sensor networks. In: IEEE International Conference on Communications (IEEE ICC 2009), Communication and Information Systems Security Symposium (June 2009)
Marti, S.: Trust and Reputation in Peer-to-Peer Networks. PhD thesis, Stanford University. Stanford InfoLab (May 2005)
Resnick, P., Zeckhauser, R., Friedman, E., Kuwabara, K.: Reputation systems. Communications of the ACM, pp. 45–48 (December 2000)
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Nguyen, T., Liquori, L., Martin, B., Hanks, K. (2012). Towards a Trust and Reputation Framework for Social Web Platforms. In: Herrero, P., Panetto, H., Meersman, R., Dillon, T. (eds) On the Move to Meaningful Internet Systems: OTM 2012 Workshops. OTM 2012. Lecture Notes in Computer Science, vol 7567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33618-8_3
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DOI: https://doi.org/10.1007/978-3-642-33618-8_3
Publisher Name: Springer, Berlin, Heidelberg
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