Behavior Trust Prediction and Control Based on Electronic Commerce System

With the increasing development of electronic commerce application, electronic commerce system security is facing the heavy challenge. To arrive at the goal of intensifying the behavior trustworthiness and controllability of electronic commerce systems, we focus on building the trustworthy model between electronic commerce system and user behaviors and strengthening the manageability of electronic commerce systems. By setting up the trustworthy computing circumstance and supplying the trustworthy validation and the active protection based on identity and behavior for trustworthy electronic commerce system, we may defend the unaware viruses and intrusion. Furthermore, the controllability of behavior trust is studied. It can be predicted trust level under the multi-trust- attribute conditions. The experiment results show the .NET Framework of creating user behavior log to provide evidences for behavior trust forecast and control. The Multi-tiered Distributed architecture based on Ajax and .Net is built to realize the content mentioned above and applied to the practical project.