从信誉系统中获得更多:基于信任中心和代理列表的上下文感知信誉框架

R. Alnemr, C. Meinel
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引用次数: 21

摘要

声誉是信任的关键因素,因此在网络社区中也是如此。信任策略可能包括调查用户声誉或直接使用传递声誉来形成信任网络。我们建议一种方法,利用这两种策略的优势,而不增加调查的成本。现在有几个系统形成了我们所说的“问题Web社区”。在这些社区中,需要交换与不同背景相关的声誉。对这种声誉的感知、计算和解释因社区而异。我们建议开发参考模型来缩小这些多重感知之间的距离。我们还建议使用声誉中心来促进声誉转移,并强调它们在分析声誉攻击中的重要性。
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Getting More from Reputation Systems: A Context–Aware Reputation Framework Based on Trust Centers and Agent Lists
Reputation is a crucial factor in trust and thus in Web communities. Trust strategies may involve investigating user reputation or directly using transitive reputation to form the Web of Trust. We suggest an approach that takes advantage of both strategies without increasing the cost of investigation. Several systems nowadays form what we call ldquouser Web communitiesrdquo. In these communities, reputation related to different contexts needs to be exchanged. The perception, calculation and interpretation of this reputation differ from one community to another. We propose the development of reference models to diminish the distance between these multi-perceptions. We also propose the use of reputation centers to facilitate reputation transfer and highlight the importance of their role in analyzing attacks on reputation.
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