Title: Intelligent Frame work for Increasing Life Time of Peer to Peer Networks
Project Intro: The advent of peer-to-peer (P2P) file sharing systems heralds a new era in the field of Internet technology. While these systems alleviate the scalability problem that has dogged the client-server model, they present new data management problems. It is widely believed that the success of P2P file sharing systems depends upon the quality of service offered by such systems. Accordingly most of the present research in P2P systems has been concentrated on issues such as efficient data placement, fast file lookup, data replication etc. Project
Abstract: In a peer-to-peer network each computer acts as both a server and a client supplying and receiving files with bandwidth and processing distributed among all members of the network. Such a decentralized network uses resources more efficiently than a traditional network and is less vulnerable to systemic failure. Peer to Peer networks are used by Bluetooth electronics and Internet based communication services, but development has largely been driven by online file sharing. The existence of high degree of malicious peers is a serious threat to the P2P network life time. This paper we propose an intelligent framework which deals with the issue of identifying free riders and other kind of peers who reduces the networks life time. 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 thereby increasing the networks life time.
Keywords: Data mining; Free Riders; peer to peer network; Malicious peers; Reputation
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