Controlling Free Riders in Peer to Peer Networks by Intelligent Mining

In a typical peer to peer system, each node is owned and operated by an independent entity, and the nodes collectively form a self-organizing, self-maintaining network with no central authority. The peer to peer technology has attracted a significant amount of interest because of its capacity for resource sharing and content distribution. The existence of high degree of free riding is a serious threat to P2P network. This paper deals with the issue of identifying free riders and other kind of peers who subvert the system. Additionally, this paper also proposes a basic data warehouse structure for a peer to peer system and analyzes peer behavior using data mining functionalities. Results prove that the free riders and malicious peers get automatically eliminated from the system.