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Security Clustering Algorithm Based on Reputation in Hierarchical Peer-to-Peer Network

机译:对等网络中基于信誉的安全聚类算法

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For the security problems of the hierarchical P2P network (HPN), the paper presents a security clustering algorithm based on reputation (CABR). In the algorithm, we take the reputation mechanism for ensuring the security of transaction and use cluster for managing the reputation mechanism. In order to improve security, reduce cost of network brought by management of reputation and enhance stability of cluster, we select reputation, the historical average online time, and the network bandwidth as the basic factors of the comprehensive performance of node. Simulation results showed that the proposed algorithm improved the security, reduced the network overhead, and enhanced stability of cluster.
机译:针对分层P2P网络(HPN)的安全性问题,提出了一种基于信誉的安全聚类算法(CABR)。在算法中,我们采用信誉机制来确保交易的安全性,并使用集群来管理信誉机制。为了提高安全性,降低信誉管理带来的网络成本,提高集群的稳定性,我们选择信誉,历史平均在线时间和网络带宽作为节点综合性能的基本因素。仿真结果表明,该算法提高了安全性,减少了网络开销,增强了集群的稳定性。

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