DocumentCode
2389008
Title
Research on finding sensitive files in peer-to-peer networks
Author
Ma, Weihua
Author_Institution
Guangxi Vocational & Tech. Inst. of Ind., Nanning, China
fYear
2012
fDate
19-20 May 2012
Firstpage
895
Lastpage
899
Abstract
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.
Keywords
pattern classification; peer-to-peer computing; text analysis; eMule; feature expansion methods; peer-to-peer networks; sensitive files; text classification; Accuracy; Finite element methods; Niobium; Peer to peer computing; Support vector machine classification; Training; eMule; peer-to-peer; sensitive files;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4673-0198-5
Type
conf
DOI
10.1109/ICSAI.2012.6223152
Filename
6223152
Link To Document