可信网络中用户行为度量模型研究
首发时间:2016-06-03
摘要:终端经过身份认证和完整性度量接入可信网络之后,为了继续对用户行为进行实时可信度量,提出了一个动态与静态、主观与客观相结合的用户行为可信度量模型。该模型通过马尔科夫模型分析用户状态的可信性,通过用户行为的直接度量动态反映用户行为的可信性,通过用户行为反馈度量对用户行为进行控制。经实验分析,该方法能够较准确、合理地计算出用户行为的可信度,并且能够随着时间的推移反映用户实际行为的可信度变化,最终对用户行为实施反馈控制。
关键词: 网络安全 可信网络 用户状态 马尔科夫 行为度量 行为反馈
For information in English, please click here
User behavior measurement model in trusted network
Abstract:The terminal is connected to trusted network through authentication and integrity measurement. In order to real-time and trust measurement to user behaviors, this paper presents a dynamic and static, subjective and objective combination of user behavior trusted measurement scheme. The scheme analyzes the credibility of the user state through Markov model. The credibility of user behavior is dynamically reflected by the direct measurement of user behavior. The scheme may control user behavior by feedback measurement of user behavior. The scheme can calculate the credibility of user behavior more accurately and reasonably, and can reflect the change of the credibility of users' actual behavior over time, and can implement the feedback control on user behavior finally.
Keywords: Network security trusted network user status Markov behavior measurement behavior feedback
论文图表:
引用
No.4695437114848814****
同行评议
共计0人参与
勘误表
可信网络中用户行为度量模型研究
评论
全部评论0/1000