Probabilistic Trust Evaluation with Inaccurate Reputation Reports
Probabilistic Trust Evaluation with Inaccurate Reputation Reports
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DOI：
10.1155/2015/736286
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发表时间：
2015-06
影响因子：
2.3
通讯作者：
B. Liu;Geng Yang
中科院分区：
文献类型：
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作者：
B. Liu;Geng Yang
我们关心的是大规模开放系统通用背景下的信任评估问题。在这样的系统中，信任者代理必须与其他信任者对等体交互以实现其目标，而信任者可能不按实际要求行事。因此，信任者必须根据过去的互动经验预测潜在信任者的行为，以确定可靠的信任者。由于系统的规模，通常在委托人和受托人之间很少或没有过去的互动，也就是说，委托人应该求助于第三方代理，这里称为顾问，询问受托人的声誉。由于顾问可能故意向委托人提供不准确甚至误导性的声誉报告，问题变得更加复杂。为此，我们开发的技术，考虑到不准确的声誉，在建模的行为的受托人的贝叶斯形式主义的基础上。该技术的核心是一个建议的概念，称为顾问到信任者的相关性措施，在此基础上，不正确的声誉报告被纠正用于在信任评估过程中。通过仿真实验验证了所提出的技术的好处。
We are concerned with the problem of trust evaluation in the generic context of large scale open-ended systems. In such systems the truster agents have to interact with other trustee peers to achieve their goals, while the trustees may not behave as required in practice. The truster therefore has to predict the behaviors of potential trustees to identify reliable ones, based on past interaction experience. Due to the size of the system, often there is little or no past interaction between the truster and the trustee, that is, the case wherein the truster should resort to the third party agents, termed advisors here, inquiring about the reputation of the trustee. The problem is complicated by the possibility that the advisors may deliberately provide inaccurate and even misleading reputation reports to the truster. To this end, we develop techniques to take account of inaccurate reputations in modeling the behaviors of the trustee based on the Bayesian formalism. The core of the techniques is a proposed notion, termed Advisor-to-Truster relevance measure, based on which the incorrect reputation reports are rectified for use in the trust evaluation process. The benefit induced by the proposed techniques is verified by simulated experiments.