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A Context-Based Architecture for Reliable Trust Model in Ubiquitous Environments

机译:普遍存在环境中可靠信任模型的基于语境的架构

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This paper presents a novel context-based architecture to filter out unfair and deceitful recommendations for trust model in ubiquitous environments. This approach has distinct advantages when dealing with randomly given irresponsible recommendations, unfair recommendations flooding as well as inside job (recommender acted honest gives unfair recommendations on the benefit of himself), which is lack of consideration in the previous works. In addition we originally give the possible scenarios of recommendations given by recommenders in the trust model to analyze the possible threats of trust model in ubiquitous environments. Finally we summarize the previous methods which were used to choose reliable recommendations and make a comparison with our approach.
机译:本文介绍了一种基于语境的基于背景的基于语境的架构,以在普遍存在环境中过滤出对信任模型的不公平和欺骗性建议。这种方法在随机授予不负责任的建议时具有明显的优势,不公平的建议洪水以及内部工作(推荐人诚实地为自己的利益提供不当建议),这在以前的作品缺乏审议。此外,我们最初提供了推荐人在信托模式中提供的建议的可能场景,以分析无处不在环境中的信任模型可能的可能威胁。最后,我们总结了以前的方法,这些方法用于选择可靠的建议,并与我们的方法进行比较。

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