Developing P2P trust computing mechanism based on Risk evaluation properties

Risk is associated with almost every activity that is done in trust computing. Analyzing the Risk involved in a trust computing is important to decide whether to proceed with the transaction or not. In this paper, SMT, a trust computing mechanism is proposed for large-scale P2P systems based on risk evaluating properties. SMT incorporates two risk evaluating properties to reflect the dynamic trust relationship between peers. Meanwhile, in order to get quick computational convergence, SMT uses simple but effective mathematical formulas to establish trustworthiness aggregation algorithm. Third, SMT uses a integrated global reputation mechanism which has good scalability for large-scale P2P systems. Simulation´s results show that, compared to the existing trust mechanisms, the new mechanism has remarkable enhancements in the trust decision-making accuracy and has a better dynamic adaptation capability.