Abstract
This paper presents a novel trust model in which we model trust based on an exotic uncertainty theory, namely cloud model. We regard trust between entities as a cloud that is called as trust cloud. Based on such a quantification model of trust, we further propose the algorithms to compute propagated trust relationships and aggregated trust relationships, which are needed for trust reasoning in pervasive computing environments. Finally, we compare the proposed trust model with other three typical models in simulation experiments, and the results shows the cloud-based trust model performs better in a total sense.
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References
Marsh, S.P.: Formalising Trust as a Computational Concept. Ph.D. Thesis, University of Stirling (1994)
Beth, T., Borcherding, M., Klein, B.: Valuation of trust in open networks. In: Gollmann, D. (ed.) ESORICS 1994. LNCS, vol. 875. Springer, Heidelberg (1994)
Yu, B., Singh, M.P.: An Evidential Model of Distributed Reputation Management. In: Proceedings of First International Joint Conference on Autonomous Agents sand Multi-Agent Systems, pp. 294–301 (2002)
Aberer, K., Despotovic, Z.: Managing Trust in a Peer-2-Peer Information System. In: Proceedings of the 10th International Conference on Information and Knowledge Management (ACM CIKM), New York, USA (2001)
Zhu, H., Feng, B., Deng, R.H.: Computing of Trust in Distributed Networks, http://venona.antioffline.com/2003/056.pdf
Castelfranchi, C., Falcone, R., Pezzulo, G.: Trust in Information Sources as a Source for Trust: A Fuzzy Approach. In: Proceedings of the second international joint conference on Autonomous agents and multiagent systems, July 14-18, pp. 89–96 (2003)
Zhuang, H., Wongsoontorn, S., Zhao, Y.: A Fuzzy-Logic Based Trust Model and its Optimization for e-Commerce. In: Florida Conference on the Recent Advances in Robotics, FCRAR 2003 (2003)
Li, D., Meng, H., Shi, X.: Membership clouds and membership clouds generator. Journal of Computer Research and Development 42(8), 32–41 (1995)
Li, D., Wang, S., Shi, W., Wang, X.: On spatial data mining and knowledge discovery (SDMKD). Geomatics and Information Science of Wuhan University 26(6), 491–499 (2001)
Li, D.: The Cloud Control Method and Balancing Patterns of Triple Link Inverted Pendulum Systems. Chinese Engineering Science 1(2), 41–46 (1999)
Li, D.: Uncertaintyin Knowledge Representation. Chinese Engineering Science 2(10), 73–79 (2000)
Abdul-Rahman, A., Hailes, S.: A Distributed Trust Model. In: New Security Paradigms Workshop 1997. ACM, New York (1997)
Shand, B., et al.: Trust for Ubiquitous, Transparent Collaboration. IEEE Pervasive Computing and Communication (2003)
Mui, L., Mohtashemi, M., Halberstadt, A.: A Computational Model of Trust and Reputation. In: 35th Hawaii International Conference on System Science, HICSS (2002)
Chen, R., Yeager, W.: Poblano: A Distributed Trust Model for Peer-to-Peer Networks, Sun Microsystems Technical Paper (2000), http://www.sun.com/software/jxta/poblano.pdf
Carbone, M., Nielsen, M., Sassone, V.: A Formal Model for Trust in Dynamic Networks. In: Proceedings of IEEE International Conference on Software Engineering and Formal Methods, SEFM 2003 (2003)
Yu, B., Singh, M.P.: An Evidential Model of Distributed Reputation Management. In: Proceedings of First International Joint Conference on Autonomous Entities and Multi-Entity Systems, pp. 294–301 (2002)
RePast WebSite, http://repast.sourceforge.net/
IETF PKIX Working Group, http://www.ietf.org/html.charters/pkix-charter.html
Tang, W.: The Research on Fuzzy Set Theory Based Trust Management. Beijing University. PhD Thesis (2003)
Li, D., Di, K., Li, D., Shi, X.: Mining Association Rules with Linguistic Cloud Models. In: Proceedings of PAKDD 1998, Australia, April 15-17, pp. 392–394. Springer, Heidelberg (1998)
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He, R., Niu, J., Zhang, G. (2005). CBTM: A Trust Model with Uncertainty Quantification and Reasoning for Pervasive Computing. In: Pan, Y., Chen, D., Guo, M., Cao, J., Dongarra, J. (eds) Parallel and Distributed Processing and Applications. ISPA 2005. Lecture Notes in Computer Science, vol 3758. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11576235_56
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DOI: https://doi.org/10.1007/11576235_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29769-7
Online ISBN: 978-3-540-32100-2
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