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BitTorrent is currently the most popular peer-to-peer network for file sharing. However, experience has shown that Bit-Torrent is often used to distribute copyright protected movie and music files illegally. Consequently, copyright enforcement agencies currently monitor BitTorrent swarms to identify users participating in the illegal distribution of copyright protected files. These investigations rely on passive methods that are prone to a variety of errors, particularly false positive identification. To mitigate the potential for false positive peer identification, the authors investigate the feasibility of using active methods to monitor extremely large BitTorrent swarms.
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