A Unified Analysis of the Evidential Trust Evaluation Techniques

It is crucial for the participants over the Internet to evaluate each other's trustworthiness before initiating any commercial transaction. In this paper we further extend our previous work novel evidential trust evaluation algorithm (NETEA) [1] for Dempster-Shafer theory and subjective logic for computing recommendation trust under same environment. We identify limitations for each and propose some extensions to Dempster-Shafer theory for reliable trust evaluation using some new decision fusion techniques.

[1]  Stephen Hailes,et al.  Supporting trust in virtual communities , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[2]  P. Vannoorenberghe,et al.  Strategies for combining conflicting dogmatic beliefs , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

[3]  Seungjoon Lee,et al.  Cooperative peer groups in NICE , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[4]  Lik Mui,et al.  Computational models of trust and reputation: agents, evolutionary games, and social networks , 2002 .

[5]  Zheng Wei,et al.  Design of a Trust Valuation Model in Software Service Coordination , 2003 .

[6]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[7]  Ramanathan V. Guha,et al.  Propagation of trust and distrust , 2004, WWW '04.

[8]  Thomas Beth,et al.  Valuation of Trust in Open Networks , 1994, ESORICS.

[9]  Munindar P. Singh,et al.  An evidential model of distributed reputation management , 2002, AAMAS '02.

[10]  Philippe Smets,et al.  Target identification based on the transferable belief model interpretation of dempster-shafer model , 2004, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.