本文選題：Web服務　切入點：服務選擇　出處：《海軍工程大學學報》2017年02期

【摘要】：針對由于Web服務推薦用戶提交虛假QoS反饋而導致的QoS預測準確度下降問題,提出了一種基于Beta信譽模型的虛假QoS反饋濾除算法。該算法首先將若干個經過認證的中心用戶作為初始可信用戶集;然后,評估用戶反饋數(shù)據(jù)與可信用戶集反饋數(shù)據(jù)的偏離程度;最后,根據(jù)用戶提交的偏離反饋次數(shù)對其信譽度進行評估,并將信譽度高于可信閾值的用戶判定為可信用戶,使可信用戶集得到更新。通過循環(huán)執(zhí)行以上過程,大部分虛假用戶將被分離出系統(tǒng)。實驗結果表明:該算法具有較強的虛假用戶篩查能力,可有效提升QoS預測算法的抗攻擊能力。
[Abstract]:Because the QoS prediction of Web service recommendation user submitted false feedback QoS caused a decline in the problem accurately, a false QoS Beta reputation model based on the feedback filtering algorithm. Firstly, a plurality of user authentication through the centre as the initial set of trusted users; then, user feedback and evaluation data set of trusted user feedback the degree of deviation from the data; finally, according to the user submitted from feedback times on the credibility evaluation, and the credibility is higher than the threshold for the user to determine the trusted trusted users to trusted users set updated. Through the cycle of the implementation of the above process, most of the false users will be isolated from the system. The experimental results show that the algorithm has false screening ability of the user, can effectively improve the QoS prediction algorithm anti attack capability.

【作者單位】： 海軍工程大學裝備經濟管理系;
【基金】：國家部委基金資助項目(9140A04020215JB11050)
【分類號】：TP393.09
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本文編號：1706653