Design of User Behavior Trust Adaptive Judgment System in Power Business Environment
In order to effectively judge the user behavior trust and improve the security and service effect of power business envi-ronment,an adaptive judgment system of user behavior trust in power business environment is designed.The k-means algo-rithm is used to mine the user data and interaction data provided by the entity layer to obtain the user behavior habit data.Through the multi-dimensional comprehensive measurement method,the performance trust,internal attribute trust and authen-tication trust of the business environment are calculated to obtain the comprehensive environment trust.The user behavior habit data is input to the long-term and short-term memory network,the user's historical behavior trust is output,and the system can adaptively judge whether the user has access rights.Experiments show that the system can accurately mine user behavior habit data and effectively evaluate user behavior trust.
power business environmentuser behaviortrustadaptive judgmentk-means algorithmmemory network
万方数据
维普
