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A New Trust Framework Based on Reputation for Unstructured P2P Networks

机译:基于信誉的非结构化P2P网络信任框架

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Managing trust is a key issue for a wide acceptance of P2P computing, particularly in critical areas such as e-commerce. Reputation based trust management has been identified in the literature as a viable solution to the problem. However, the mechanism faces the challenges of subjectively, experiential weighting referrals when aggregating recommendation information. Furthermore, not considering some malicious attacks when building trust relationship between peers in the existing schemes make trust model very vulnerable. This paper presents P2PTrust??a new trust framework based on reputation for unstructured P2P networks. In P2PTrust, except reputation value, reputation revision value is also taken into account in order to deal with the dynamic or spoiling behavior of peers, which makes P2PTrust differ from other trust models based on the reputation only. Considering the credibility of peers' referrals, a credibility quantification and update scheme is proposed in the paper as reliable means of seeking honest feedbacks. Subsequent experimental results show that, compared to the existing trust models, our scheme is robust in systems where the vast majority of users are malicious and more advanced in successful transaction rate.
机译:管理信任是广泛接受P2P计算的关键问题,特别是在诸如电子商务的关键领域。在文献中已在文献中确定了基于信誉的信任管理作为问题的可行解决方案。然而,在聚合推荐信息时,该机制面临主观的经验加权推荐的挑战。此外,在现有计划中构建对等体之间的信任关系时,不考虑一些恶意攻击使信任模型非常脆弱。本文提出了基于非结构化P2P网络的声誉的新信任框架。在p2ptrust中,除声望值外,还考虑了声誉修订价值,以便处理同行的动态或恶性行为,这使得P2PTRAST根据仅限于声誉而与其他信任模型不同。考虑到同行推荐的可信度,本文提出了可信度量化和更新计划,作为寻求诚实反馈的可靠手段。随后的实验结果表明,与现有的信任模型相比,我们的计划在绝大多数用户在成功的交易率方面是恶意和更先进的系统中的强大。

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