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《Journal of Naval University of Engineering》 2017-02
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Unfair web service QoS feedback filtering algorithm based on Beta reputation

SU Kai;XIAO Bin;SU Xiao-guang;WU Qin;Dept.of Economics Management,Naval Univ.of Engineering;  
During the process of web services selection,some service recommenders may give feedbacks which are inconsistent with their real experience intentionally,and thus causes the deviation of prediction results.To resolve this problem,an unfair QoS feedback filtering algorithm based on Beta reputation is proposed.Firstly,several certified center users are obtained to initialize the trustworthy set.Then,the deviation between the target user′s feedback and the average value of trustworthy set is evaluated.Finally,each user′s reputation is calculated based on how many deviated feedbacks have been provided.The users whose reputation exceeds the trustworthy threshold will be recognized as trustworthy users.After several iterations,a majority of unfair users are filtered out.Experimental results demonstrate that the proposed approach can accurately filter out the unfair users and improve the robustness of QoS prediction algorithms against unfair feedback attacks.
【Fund】: 国家部委基金资助项目(9140A04020215JB11050)
【CateGory Index】: TP393.09
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