摘要： 针对P2P文件分享系统中污染文件的传播检测问题，在声誉度检测机制的基础上，提出一种基于接触跟踪树的检测方法。通过跟踪文件的传播路径，利用相关节点的声誉度建立接触跟踪树，对接触跟踪树的拓扑结构进行分析，获取传播文件为污染文件的概率值，从而实现对污染文件的检测。实验结果表明，该方法能有效提高检测精度，减小系统误报率。

关键词: 接触跟踪树, 声誉度, 文件分享, P2P文件分享系统, 污染文件

Abstract: Aiming at the problem of detecting the polluted files in file-sharing system, this paper proposes a detection method based on contact tracing tree and reputation mechanism. It establishes contact tracing trees by tracking the propagation of files in the file-sharing system, and confirms the polluted files by analyzing the topology of contact tracing trees. Experimental results show that the method can effectively improve the detection accuracy, and reduce the rate of false alarm.

Key words: contact tracing tree, reputation, file-sharing, P2P file-sharing system, polluted file

中图分类号: 

• TP393.08