A Trustable Approach Based on Fuzzy Inference for P2P Systems

Article Preview

Abstract:

Trust management is one of the key problems in the P2P systems and e-commerce. Before they have the transaction, people always want to know whether the other side of the transaction partners can be trusted and how much degree of their trustworthiness. This paper proposes a trustable approach based on fuzzy inference in P2P systems and gives a detail discussion of fuzzy inference. They can inference their trust against the trustworthiness of the rules and compute the trustworthiness of the conclusion. This approach is adapted to the P2P environment which the rule and the proof which may be showed as fuzzy, and the approach also have practical meaning for us to build an effective P2P system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3914-3918

Citation:

Online since:

October 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Josang, A., R. Ismail, and C. Boyd, A survey of trust and reputation systems for online service provision. Dec Supp Syst, (2007). 43(2): pp.618-644.

DOI: 10.1016/j.dss.2005.05.019

Google Scholar

[2] Damiani, E., et al. Managing and Sharing Servents' Reputation in P2P Systems. in IEEE Transactions on Knowledge and Data Engineering. (2003).

Google Scholar

[3] Artz, D. and Y. Gil, A survey of trust in computer science and the Semantic Web. Web Semantics: Science, Services and Agents on the World Wide Web, (2007)(5): pp.58-71.

DOI: 10.1016/j.websem.2007.03.002

Google Scholar

[4] Ludwig, S.A., et al., Fuzzy Approach for the Evaluation of Trust and Reputation of Services. 2009 Ieee International Conference on Fuzzy Systems, Vols 1-3. (2009), New York: Ieee.

DOI: 10.1109/fuzzy.2009.5277061

Google Scholar

[5] Lin, H.Q., X.Z. Wu, and H.T. Lin, Hierarchical Fuzzy Trust management for Peer-To-Peer Network. 2009 Isecs International Colloquium on Computing, Communication, Control, and Management, Vol Iv, ed. Q. Luo, J. Yi, and C. Bin. (2009).

DOI: 10.1109/cccm.2009.5270416

Google Scholar

[6] Li, L., Y. Wang, and V. Varadharajan, Fuzzy Regression Based Trust Prediction in Service-Oriented Applications, in Autonomic and Trusted Computing, Proceedings, J.G. Nieto, et al., Editors. (2009), Springer-Verlag Berlin: Berlin. pp.221-235.

DOI: 10.1007/978-3-642-02704-8_17

Google Scholar

[7] Lin, H.Q., et al., Hierarchical Fuzzy Trust management for Customer-To-Customer in peer-to-peer eCommerce. Iscsct 2008: International Symposium on Computer Science and Computational Technology, Vol 2, Proceedings, ed. F. Yu. (2008).

DOI: 10.1109/iscsct.2008.334

Google Scholar

[8] XU Lan-fang and Yu Yuan-lan, Research on Reputation Reporting Strategy Algorithm Based on Fuzzy Logic. Application Research of Computers, (2007). 24(6): pp.22-24.

Google Scholar

[9] Yu, F.J., H.G. Zhang, and F. Yan, A fuzzy relation trust model in P2P system. 2006 International Conference on Computational Intelligence and Security, Pts 1 and 2, Proceedings, ed. Y.M. Cheung, Y. Wang, and H. Lium. (2006), New York: Ieee.

DOI: 10.1109/iccias.2006.295309

Google Scholar

[10] Griffiths, N., A fuzzy approach to reasoning with trust, distrust and insufficient trust, in Cooperative Information Agents X, Proceedings, M. Klusch, M. Rovatsos, and T.R. Payne, Editors. (2006), Springer-Verlag Berlin: Berlin. pp.360-374.

DOI: 10.1007/11839354_26

Google Scholar

[11] Nagy, M., M. Vargas-Vera, and E. Motta, Managing Conflicting Beliefs with Fuzzy Trust on the Semantic Web in MICAI 2008: Advances in Artificial Intelligence. (2008), Springer Berlin / Heidelberg. pp.827-837.

DOI: 10.1007/978-3-540-88636-5_78

Google Scholar