The Behavior Measurement Model of Trusted Network

For lacking detailed behavior measurement in Trusted Network, current measurements are mainly based on identity and state measurement, in this paper the definition of network behavior and description of behavior adaptive to Trusted Network environment, and a new multi-dimensional behavior measurement model is presented. This model is based on several behavior prosperities such as individual similarity function, group similarity function, direct trust evaluation function, risk assessment function finishes trust measurement in many aspects, and is dynamic, fine-grained and adaptive to environment. It reduces the subjective factors of behavior measurement through the establishing of categorization weight of the behavioral prosperities by information entropy. The experimental results indicated that the model presented in this paper is more effective and environmental adaptable.