Research on finding sensitive files in peer-to-peer networks

Peer-to-peer (P2P) networks are becoming more and more popular. eMule is a typical example. In this paper we aim to automatically and accurately find sensitive files in eMule through rating them based on text classification and we propose two feature expansion methods to improve the accuracy of rating. Experimental results demonstrate that the performance improvement of rating is significant by using feature expansion methods.