摘要
云计算环境下对企业网站泄露信息的检测,能够更好的保障云计算环境安全稳定性。对泄露信息的高效检测,需要得到隐藏目录泄露路径,并计算泄露指数,完成对泄露信息的检测。传统方法先细粒度地定位企业网站泄露源和信息泄露点,追踪企业网站信息传播路径,但忽略了泄露指数的计算,导致检测精度偏低。提出基于K-Q的云计算环境下企业网站泄露信息检测方法。先遵循关系型数据模型定义企业网站信息表,快速计算信息泄漏源和信息泄露点之间的可达性,得到隐藏目录泄露路径,并计算泄露指数,利用计算的结果完成对云计算环境下企业网站泄露信息检测。仿真证明,所提方法检测精度高,可以有效的完成对云计算环境下企业网站泄露信息检测,为保障云计算环境安全稳定性提供了可行的依据。
This article proposes a method for detection of leak information of enterprise website under cloud computing environment based on K - Q. Firstly, the research defined table of information of enterprise website following model of relational data, then calculated accessibility between source of leak and point of leak of information rapidly to obtain leak path of hidden catalogue. The research also calculated index of leak and used the calculation results to complete the detection. Simulation proves that the method has high detection precision. It can complete the detection of leak information effectively and provide feasible gist for ensuring security and stability of cloud computing environment.
作者
杨晓晖
谭江平
YANG Xiao - hui TAN Jiang - ping(Heibei University, School of Computer Science and Technology, Baoding Heibei 071000, China)
出处
《计算机仿真》
北大核心
2017年第4期460-463,共4页
Computer Simulation
关键词
云计算环境
网站
信息检测
Cloud computing environment
Website
Information detection