【摘要】：針對(duì)云服務(wù)供應(yīng)商和云用戶實(shí)體雙方交互過(guò)程中提供虛假或惡意信息的問(wèn)題,提出了一種融合惡意用戶過(guò)濾機(jī)制的信譽(yù)評(píng)估方法.首先,運(yùn)用統(tǒng)計(jì)過(guò)程控制理論中改進(jìn)的指數(shù)加權(quán)滑動(dòng)平均方法對(duì)目標(biāo)云服務(wù)有過(guò)反饋評(píng)級(jí)的用戶進(jìn)行檢測(cè),并過(guò)濾惡意用戶;然后,在目標(biāo)云服務(wù)的信譽(yù)計(jì)算過(guò)程中,利用多數(shù)共識(shí)理論和反饋相似度確立良性用戶反饋評(píng)分的聚合權(quán)重,以提高信譽(yù)計(jì)算的準(zhǔn)確性;最后,用戶根據(jù)云服務(wù)供應(yīng)商的服務(wù)和信譽(yù)情況與其進(jìn)行協(xié)商,屏蔽掉信譽(yù)較低的云服務(wù),從而確定最后的交互對(duì)象.實(shí)驗(yàn)結(jié)果表明,本文提出的方法不僅能夠有效防止云用戶的欺詐行為,而且能夠杜絕云供應(yīng)商的不誠(chéng)信行為,使服務(wù)中心能夠?qū)⑿抛u(yù)好的云服務(wù)推薦給用戶.
[Abstract]:In order to solve the problem of providing false or malicious information between cloud service providers and cloud user entities, a reputation evaluation method based on malicious user filtering mechanism is proposed. Firstly, the improved exponential weighted moving average method in statistical process control theory is used to detect the users with feedback rating of the target cloud service and filter malicious users. Then, in the process of calculating the reputation of the target cloud service, the aggregation weight of the benign user feedback score is established by using the majority consensus theory and feedback similarity, in order to improve the accuracy of the reputation calculation. Finally, according to the service and reputation of the cloud service provider, the user negotiates with the cloud service provider to block out the cloud service with low reputation, so as to determine the final interaction object. The experimental results show that the method proposed in this paper can not only effectively prevent the fraud of cloud users, but also put an end to the dishonest behavior of cloud suppliers, so that the service center can recommend reputable cloud services to users.
【作者單位】： 燕山大學(xué)信息科學(xué)與工程學(xué)院;河北省計(jì)算機(jī)虛擬技術(shù)與系統(tǒng)集成重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(61379116)資助 河北省自然科學(xué)基金項(xiàng)目(F2015203046)資助 河北省高等學(xué)�？茖W(xué)技術(shù)研究重點(diǎn)項(xiàng)目(ZH2012028)資助
【分類(lèi)號(hào)】：TP393.09
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本文編號(hào)：2508575