Research On The Trust Model Based On Perceived Risk

The P2P network has been used more and more widely for its convenience and flexibility. However, because of all peers in the network is equal, a central node to manage the whole net is lack, and each peer could join and exit the net freely and easily, peer-to-peer e-commerce causes more security risks and malicious threats. Either in e-commerce, or in the P2P technology itself, security issues is the most pressing problem.Trust model is the framework to set up and manage trust relationships between peers in the network. In the P2P network in which peers are self-organized, trust model is used to evaluate the trust value and regulate the behavior of each peer.P2P networks provide a network environment for communication of human in real world, which is a human-centered network and has the similar conformation with the real social networks. As an integral part of social networks, trust is the core relations between people. Thus trust relationship in networks would be affected largely by people's subjective perception factors. Existing trust models have advantages and disadvantages, but most of them didn't consider the potential impact of subjective perception of users in the net to evaluation processes. On relevant issues,we proposed a new trust model APR which is based on anticipative perceived risk and the concept of perceived risk was introduced into the evaluation of trust model.Method to calculate perceived risk value of each trading in P2P networks was given. And many kinds of trust factor were taken to calculate the trust value among peers, and an origination method was provided to integrate direct trust and recommendation trust. Finally, we have proved the feasibility and validity of the model by experiment.