Abstract
In many distributed applications, a party who wishes to make a transaction requires that it has a certain level of trust in the other party. It is frequently the case that the parties are unknown to each other and thus share no pre-existing trust. Trust-based systems enable users to establish trust in unknown users through trust recommendation from known users. For example, Bob may choose to trust an unknown user Carol when he receives a recommendation from his friend Alice that Carol’s trustworthiness is 0.8 on the interval [0,1].
In this paper we highlight the problem that when a trust value is recommended by one user to another it may lose its real meaning due to subjectivity. Bob may regard 0.8 as a very high value of trust but it is possible that Alice perceived this same value as only average. We present a solution for the elimination of subjectivity from trust recommendation. We run experiments to compare our subjectivity-eliminated trust recommendation method with the unmodified method. In a random graph based web of trust with high subjectivity, it is observed that the novel method can give better results up to 95% of the time.
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References
Hoffman, K., Zage, D., Nita-Rotaru, C.: A survey of attack and defense techniques for reputation systems. Technical Report CSD TR 07-013, Department of Computer Science, Purdue University, IN, USA (2007)
Abdul-Rahman, A., Hailes, S.: Supporting trust in virtual communities. In: Proceedings of the 33rd Hawaii International Conference on System Sciences (January 2000)
Baras, J.S., Jiang, T.: Cooperation, Trust and Games in Wireless Networks. In: Advances in Control, Communication Networks, and Transportation Systems: In Honor of Pravin Varaiya. Birkhauser, Boston (2005)
Beth, T., Borcherding, M., Klein, B.: Valuation of trust in open networks. In: Gollmann, D. (ed.) ESORICS 1994. LNCS, vol. 875. Springer, Heidelberg (1994)
Capra, L.: Engineering human trust in mobile system collaborations. In: Proceedings of the 12th ACM SIGSOFT International Symposium on Foundations of Software Engineering, Newport Beach, CA, USA (2004)
Griffiths, N.: Task delegation using experience based multidimensional trust. In: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, The Netherlands (2005)
Meng, K., Zhang, X., chun Xiao, X., du Zhang, G.: A bi-rating based personalized trust management model for virtual communities. In: Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control (ICNSC 2006) (2006)
Marsh, S.P.: Formalising Trust as a Computational Concept. PhD thesis, Department of Mathematics and Computer Science, University of Stirling, Scotland, UK (1994)
Golbeck, J., Hendler, J.: Filmtrust: Movie recommendations using trust in web-based social networks. In: Proceedings of the 3rd IEEE Consumer Communications and Networking Conference (CCNC 2006), Las Vegas, NV, USA (2006)
Gambetta, D.: Can We Trust Trust? In: Trust: Making and Breaking Cooperative Relatioins, pp. 213–237. Department of Sociology, University of Oxford (2000)
Toivonen, S., Lenzini, G., Uusitalo, I.: Context-aware trust evaluation functions for dynamic reconfigurable systems. In: Proceedings of the WWW’06 Workshop on Models of Trust for the Web (MTW 2006) (May 2006)
Jonker, C.M., Treur, J.: Formal analysis of models for the dynamics of trust based on experiences. In: Garijo, F.J., Boman, M. (eds.) MAAMAW 1999. LNCS, vol. 1647. Springer, Heidelberg (1999)
Levien, R.: Attack resistant trust metrics. Manuscript, University of California - Berkeley (2002), http://www.levien.com/thesis/compact.pdf
Resnick, P., Zeckhauser, R.: Trust among strangers in internet transactions: Empirical analysis of ebay’s reputation system. The Economics of the Internet and E-Commerce 11 (2002)
McKnight, D.H., Choudhury, V., Kacmar, C.: Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research 13(3), 334 (2002)
Rotter, J.B.: A new scale for the measurement of interpersonal trust. Journal of Personality 35(4), 651 (1967)
Rotter, J.B.: Generalized expectancies for interpersonal trust. American Psychologist 26(5), 443 (1971)
Boon, S.D., Holmes, J.G.: The Dynamics of Interpersonal Trust: Resolving Uncertainty in the Face of Risk. In: Cooperation and Prosocial Behaviour, p. 190. Cambridge University Press, Cambridge (1991)
McCord, M., Ratnasingam, P.: The impact of trust on the technology acceptance model in business to consumer e-commerce. In: Proc. of the Intl. Conf. of the Information Resources Mgmt. Association: Innovations Through IT, New Orleans, LA, USA (May 2004)
Kaluscha, E.A.: The Importance of Initial Consumer Trust in B2C Electronic Commerce - A Structural Equation Modeling Approach. PhD thesis, University of Klagenfurt, Austria (2004)
Ziegler, C.N., Lausen, G.: Spreading activation models for trust propagation. In: Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE 2004) (2004)
Golbeck, J., Parsia, B., Hendler, J.: Trust networks on the semantic web. In: Klusch, M., Omicini, A., Ossowski, S., Laamanen, H. (eds.) CIA 2003. LNCS, vol. 2782, pp. 238–249. Springer, Heidelberg (2003)
Chen, R., Yeager, W.: Poblano: A distributed trust model for peer-to-peer networks. Technical report, Sun Microsystems (2000)
Abdul-Rahman, A., Hailes, S.: A distributed trust model. In: Proceedings of the 1997 Workshop on New Security Paradigms, Langdale, Cumbria, United Kingdom (1997)
Christie, R., Geis, F.L.: Studies in Machiavellianism. Academic Press, New York (1970)
Hirsh, H., Basu, C., Davison, B.D.: Learning to personalize. Communications of the ACMÂ 43(8), 102 (2000)
Langley, P.: Adaptive user interfaces and personalization (2008), http://www.isle.org/~langley/adapt.html (retrieved January 5, 2009)
Fog, A.: Branch prediction in the pentium family (2008), http://x86.org/articles/branch/branchprediction.htm (retrieved January 5, 2009)
National Institute of Standards and Technology (NIST): Nist/sematech e-handbook of statistical methods - percentiles (2008), http://www.itl.nist.gov/div898/handbook/prc/section2/prc252.htm (retrieved January 5, 2009)
Bollobas, B.: Random Graphs. Cambridge University Press, Cambridge (2001)
Watts, D.J., Strogatz, S.H.: Collective dynamics of ’small-world’ networks. Nature 393 (June 1998)
Albert, R., Barabasi, A.L.: Statistical mechanics of complex networks. Reviews of Modern Physics 74 (January 2002)
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Hasan, O., Brunie, L., Pierson, JM., Bertino, E. (2009). Elimination of Subjectivity from Trust Recommendation. In: Ferrari, E., Li, N., Bertino, E., Karabulut, Y. (eds) Trust Management III. IFIPTM 2009. IFIP Advances in Information and Communication Technology, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02056-8_5
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DOI: https://doi.org/10.1007/978-3-642-02056-8_5
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