Pollution-resistant peer-to-peer live streaming using trust management

In the emerging peer-to-peer (P2P) live streaming, users cooperate with each other to support efficient delivery of video over networks in live streaming applications. Pollution attack is an effective attack against P2P live streaming, where attackers upload bogus multimedia data to their peers. The polluted data can spread over the entire network, and cause severe quality degradation of the videos. To resist pollution attacks in P2P live streaming, this paper proposes a trust management system that identifies attackers and excludes them from further sharing of multimedia data. We investigate possible attacks against the trust management system and analyze the attack resistance of the proposed system. Our simulation results show that the proposed trust management system can efficiently detect attackers and stimulate user cooperation even under attacks. It helps users receive more clean data and improves the performance of P2P live streaming.