Spam characterization and detection in peer-to-peer file-sharing systems
Dongmei Jia, Wai Gen Yee, Ophir Frieder · 2008
Spam is highly pervasive in P2P file-sharing systems and is difficult to detect automatically before actually downloading a file due to the insufficient and biased description of a file returned to a client as a query result. To alleviate this problem, we first characterize spam and spammers in the P2P file-sharing environment and then describe feature-based techniques for automatically detecting spam in P2P query result sets. Experimental results show that the proposed techniques successfully decrease the amount of spam by 9 % in the top-200 results and by 92 % in the top-20 results.