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Analysis of the Resource Chain Model: the New Peer-to-Peer Reputation-Based Trust Model

机译:资源链模型分析:基于对等信誉的新型信任模型

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摘要

Great attention has recently been shown to computer security. Therefore, many mechanisms have been employed or invented to increase the Peer-to-Peer (P2P) security like encryption, sandboxing, digital rights management, reputation, and firewall. Among those technologies, trust-reputation controlling mechanism, as an active self-controlling method is especially useful to automatically record, analyze and even adjust peers reputation trust credibility among the different peers so that the system can adjust itself according to the credibility changes. This kind of self-adjusting system is suitable for our anonymous, dynamic and variable P2P environment. Using the Resource Chain Model (RCM), the new P2P reputation-based trust model, we can find the best resource location both effectively and efficiently while maintaining the system security. The goal of this paper is to find whether the model can increase the successful download rate when the number of transactions and the number of malicious nodes are increasing. The study's results show that RCM improved the performance. Thus, this approach enables one to find a better solution to find the best resource chain in a P2P community.
机译:最近已显示出对计算机安全性的极大关注。因此,已采用或发明了许多机制来提高对等(P2P)安全性,例如加密,沙箱,数字权限管理,信誉和防火墙。在这些技术中,信任声望控制机制作为一种主动的自我控制方法,对于自动记录,分析甚至调整不同对等方之间的对等方信誉信任度特别有用,因此系统可以根据信誉的变化进行自我调整。这种自我调整系统适用于我们的匿名,动态和可变的P2P环境。使用资源链模型(RCM),即新的基于P2P信誉的信任模型,我们可以在保持系统安全性的同时,高效地找到最佳的资源位置。本文的目的是发现当事务数量和恶意节点数量增加时,该模型是否可以提高成功下载率。研究结果表明,RCM改善了性能。因此,这种方法使人们能够找到更好的解决方案,以找到P2P社区中的最佳资源链。

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