Study of Reputation Based Defense Mechanism in Peer To Peer Live Streaming
Peer-to-peer live video streaming systems are having more popularity as the information technology is advancing fast. Peer-to-peer live video streaming systems are like peer-to-peer file sharing system and they are also vulnerable to content pollution attack as file sharing. In this type of attack, the attacker mixes polluted or unnecessary data into the streaming data and forwards the polluted data to normal peers and hence the perceived video quality is decreased. In this paper, a comparative study among three pollution defense mechanisms in peer-to-peer live streaming systems: Blacklisting, Simple Decentralized Reputation System and Bayesian Approach to Reputation System. Finally performance analysis and the derived result has been presented.