Study on Behavior Trust Forecast and Control Based Electronic Commerce System

Trust is crucial for electronic commerce (EC). Trust in open network setting includes identity trust and behavior trust and the latter provides a new method for network safety problems. This paper designs Bayesian network based behavior trust forecast method and the control strategy. The Ajax application framework is proposed and the distributed multi-layer architecture of EC system is built, through which behavior trust forecast and control is implemented. The practical data have shown that in user behavior trust based EC system multiple performances of the server are enhanced and the trade behaviors of users are restricted.