本文在现有的对等网络(Peer-2-Peer)流量识别技术的基础上,提出了一种基于内容特征的Bit Torrent文件共享监测方法。该方法建立被监测文件内容的特征数据库,从被测Bittorren网络的数据流中提取特内容特征。通过内容特征与特征数据库中的特征摘要进行匹配,实现对Bit Torrent网络基于内容特征的监测。通过实验验证了该方法的可行性与有效性。 Based on the existing Peer-2-Peer traffic identification technology, this paper proposes a Bit Torrent file sharing monitoring method based on content features. The method builds a database of the characteristics of the content of the monitored files and extracts the special content features from the data stream of the Bittorren network under test. Through content feature matching with feature digest in feature database, content-based monitoring of Bit Torrent network is realized. The feasibility and effectiveness of this method are verified by experiments.