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.
关键词
电力营商环境/用户行为/信任度/自适应判断/k-means算法/记忆网络
Key words
power business environment/user behavior/trust/adaptive judgment/k-means algorithm/memory network
维普
万方数据