Cyber Security Situation Awareness Based on Data Mining

被引：0
|
作者：
Liu Jie [1 ]
Feng Xuewei [1 ,2 ]
Li Jin [1 ,2 ]
Wang Dongxia [1 ,2 ]
机构：
[1] Beijing Inst Syst Engineer, Beijing 100101, Peoples R China
[2] Nation Key Lab Sci & Technol Informat Syst Secur, Beijing 100101, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION APPLICATIONS (ICCIA 2012) | 2012年
基金：
中国国家自然科学基金;
关键词：
cyber security; situation awareness; correlation state machine; threat prediction; threat assessment;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Situation awareness is a kind of the third generation of information security technology, which aims to provide the global security views of the cyberspace for administrators. A framework of cyber security situation awareness based on data mining is proposed in this paper. The framework can be viewed from two perspectives, one is data flow, which presents the abstracting of cyber data, and the other one is logic view, which presents the procedure of situation awareness. The framework's core component is correlation state machine, which is an extension of state machine. The correlation state machine is a data structure of achieving situation awareness, which is created based on the technology of data mining. After being created, it can be used to assess and predict the threat situation to achieve cyber knowledge. We conclude with an example of how the framework can be applied to real world to provide cyber security situation for administrators.
引用
收藏
页码：254 / 258
页数：5
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