TasteBuddy-based Version Selection Strategy for BitTorrent Users against Content Pollution
Lingyun Ruan, An’an Luo, Zhen Chen · 2011
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.