Web Services Trust Computation Based on Social Network Dynamic Feedback
ZHANG Pei-Yun1,2,CHEN En-Hong1,LI Bo1
1.School of Computer Science and Technology,University of Science and Technology of China,Hefei 230026 2.School of Mathematics and Computer Science,Anhui Normal University,Wuhu 241003
Abstract：In the current service computing background,it is difficult for users to obtain the trusted services. Aiming at this problem,a Web services trust model based on social network dynamic feedback is proposed. An algorithm for computing direct trust value of the service is designed by using individual users experience. The transactions of the services are dynamically tracked and monitored by the proposed algorithm. When a user has no direct experience of a service,based on the users trust values in the social network the indirect trust value of the service can be calculated by gathering a number of other users direct trust values of the service. As the social network nodes may recommend untrue services,the correction factor is used to amend the trust of social network peers. The analysis of the proposed algorithms shows that this method is feasible and effective.
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2013, Vol. 26 
