Globally trusted model for assisting peers using greedy forwarding technique

In a Peer-To-Peer (P2P) systems, establishing trust among the peers help to minimize the malicious attack made by other peers. Peer creates the trusted relationship with other peers based on past interaction. In a self-organizing trust model that uses distributed algorithm to reason about the peers that deserve the trust and services. However, the formation of trustworthy relationship and confidence is based on the locally available information. With this local information, untrustworthy peer is identified as malicious peer and they were isolated from other peers. If a peer changes its point of attachment to the network, then it may lose apart of its trust network So it is necessary for a peer to learn about global information available. In this paper we propose the P2P system, that make use of global trust information that is built using the greedy forwarding algorithm and this proposed model can also lessen the malicious behavioral model In the experiment, a good peer was able to form the trust relationship throughout the network and also provide limited access to each peer thereby enhancing the security and effectiveness of the system.