TasteBuddy-based Version Selection Strategy for BitTorrent Users against Content Pollution

摘要

Content pollution problem has attracted broad attention due to its impacts on P2P networks' efficiency and availability. Especially for Bit Torrent users, unmanageable versions of BT torrents and chunk-based file sharing mode make it more difficult to avoid pollution dissemination. In our paper, we propose a smart version selection strategy based on taste buddies to help users select high-quality versions and keep away from polluted ones. Performance evaluation based on real data shows that our approach effectively lowers the probability of selecting polluted versions compared with other strategies.