Feedback Entropy: A New Metric to Detect Unfair Rating Attacks for Trust Computing in Cloud Environments

Manel Mrabet, Yosra Ben Saied, L. Saïdane
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引用次数: 1

Abstract

Trust management systems provide a means for trustworthy interactions in cloud environments. However, trust establishment could be compromised when malicious cloud users intentionally provide unfair feedbacks to decrease the reputation of some cloud providers or to benefit others. In this paper, we define "Feedback Entropy" as a newmetric to detect unfair rating attacks. As such, we propose a new detection system able to detect unfair rating attacks by monitoring users' feedbacks during short periods of time. Our proposed approach is designed to detect rapidly such attacks at the point in time they appear and to scale effectively with the increase of the number of feedbacks. Experimental results prove the advantages of the introduced metric and the good performance of the proposed detection system.
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反馈熵:一种检测云环境下信任计算不公平评级攻击的新度量
信任管理系统为云环境中的可信交互提供了一种手段。但是,当恶意云用户故意提供不公平的反馈以降低某些云提供商的声誉或使其他云提供商受益时,信任的建立可能会受到损害。在本文中,我们定义了“反馈熵”作为检测不公平评级攻击的新度量。因此,我们提出了一种新的检测系统,能够通过监测用户在短时间内的反馈来检测不公平评级攻击。我们提出的方法旨在快速检测此类攻击的出现时间点,并随着反馈数量的增加而有效扩展。实验结果证明了所引入度量的优点和所提出的检测系统的良好性能。
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