Detecting Malicious Witness Reports in Multi-agent Systems

Xing Maolin, Li Bin, Wu Xingshen
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引用次数: 1

Abstract

In open Multi-agent Systems, trust plays the central role in facilitating interactions. Most of trust models need to collect the witness reports, and they may suffer due to existence of malicious witness. To detect the malicious witness reports, this paper presents an approach, OSM (Opinion Similarity Measure). Evaluator calculates the opinion similarity state (OSS) between evaluator and witness according to their reports, and evaluates the witness credibility according to the OSS between them. Experiment and analysis show that OSM is more robust than existing approaches.
在多代理系统中检测恶意见证报告
在开放的多智能体系统中,信任在促进交互方面起着核心作用。大多数信任模型都需要收集证人报告,而恶意证人的存在会使信任模型遭受损失。为了检测恶意证人报告,本文提出了一种意见相似度度量方法(OSM)。评价者根据评价者和证人之间的报告计算意见相似状态(OSS),并根据他们之间的OSS评估证人的可信度。实验和分析表明,OSM比现有方法具有更强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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