Analysis of multi-factor in trust evaluation of open network

Trust model is an effective way of resolving trust problems in open networks in which trust evaluation is a key issue to be addressed in trust management. According to the design rules of trust models,the problems of lacking dynamic adaptability in trust evaluation and the lack of effective methods for the aggregation of trust,the multiple factors that include the bonus-penalty factor,evaluation reliability of the recommending entities and balanced weight were introduced into trust evaluation to improve the realiblity and accuracy of trust. The design of the bonus-penalty function was also presented. Finally,the balanced weight factor and an analysis was carried out through the Matlab software. The experimental results show that the proposed trust model can achieve a better aggregation speed.