Analysis and Prevention of Malware in P2P

Peer-to-Peer (P2P) Networks continue to be popular means of trading content. However the files exchanged in these networks are not malicious, making them an ideal medium for spreading Malware. Some existing studies have shown that Malware proliferation can pose significant threats to P2P Networks, defending against such an attack are largely an open problem. This paper aims to develop the countermeasure that can effectively mitigate the Malware proliferation while preserving P2P networks performance and provide software implementations for P2P.Malware is highly pervasive in P2P file-sharing systems and is difficult to detect. To alleviate this problem, we analyze and provide preventive measures for Malware. Analysis include two types for detecting Malware and provide two basic approaches and Advanced techniques for preventing Malware. We instrument two different open source P2P networks; KaZaA and IMesh to examine the prevalence of Malware in P2P networks and provide an algorithm for detecting Malware.