Trust Model: Providing Witness Anonymity in P2P Network

In this paper a Peer to peer network is considered where all the peers have equal responsibilities. In a peer to peer network, trust issues have gained focus as a result of the decentralized nature of P2P systems where autonomous peers interact with each other. Reputation systems provide a way for building trust through feedback about past experiences of peers to help making recommendation and judgment on quality and reliability of the transactions. The peer can rate the reliability of those peers with which it has dealt in the past. Existing reputation mechanisms detects malicious peer by simple trust metric like calculating number of positive feedback divided by sum of positive feedback and negative feedback. The proposed system is to design a trust model with intensified malicious node detection in peer-to-peer network in which, I-SDT (Intensified Secure Deep Throat) protocol is used to provide witness anonymity of malicious behaviour with intensified malicious node detection procedure. The detection method proposed is improved-Eigen Trust algorithm based on Fuzzy synthetic evaluation model.