一种对等网络信誉系统的恶意节点检测方法  

A Method of Detecting Malicious Nodes of a Reputation System on Peer-to-peer Network

作　　者：刘凤鸣 罗慧慧[2] 

机构地区：[1]广东北电通信设备有限公司,广东广州510220 [2]仲恺农业技术学院计算机科学与工程学院,广东广州510225

出　　处：《电脑与电信》2010年第1期31-33,共3页Computer & Telecommunication

摘　　要：提出了一个基于超级节点的对等网络信誉系统。系统分别计算节点的交互信誉度和反馈信誉度,能客观准确地评价节点交互过程,有效检测和打击节点的恶意交互行为和虚假反馈行为,使得规范节点的信誉值不断提升,更容易被选择成为交互对象,以此显著提高了网络的整体性能。This paper presents a Peer-to-peer network reputation system based on a super node. This system separately calculates the transaction reputation and feedback reputation. It could well and truly evaluate the process of the transaction of nodes, effectively detect and beat the actions of nodes through malicious transact and spurious feedback. It could continuously upgrade the reputation of canonical nodes, and could be easily chosen as transaction object. So that the whole capacity of the network would be observably improved.

关 键 词：对等网络 信誉系统 恶意交互 虚假反馈 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术] TP393[自动化与计算机技术—计算机科学与技术]