文献类型：期刊文献

中文题名：基于免疫危险理论的网络安全态势定量感知模型

英文题名：Immune danger theory based quantitative model for network security situation awareness

作者：孙飞显[1];靳晓婷[2]

第一作者：孙飞显

机构：[1]中原工学院计算机学院;[2]河南财经政法大学公共管理学院

第一机构：中原工学院计算机学院,郑州450007

年份：2011

卷号：28

期号：7

起止页码：2680-2682

中文期刊名：计算机应用研究

外文期刊名：Application Research of Computers

收录：CSTPCD;;北大核心:【北大核心2008】；CSCD:【CSCD2011_2012】；

基金：国家自然科学基金资助项目(60873246);河南省科技攻关计划资助项目(092102310038);河南省教育厅自然科学研究计划资助项目(2010A520047;2010A520048;2009B520023)

语种：中文

中文关键词：免疫;危险理论;网络安全;态势感知

外文关键词：immunity; danger theory; network security; situation awareness

摘要：针对基于免疫的异常入侵检测技术自体/非自体区分困难、漏报误报率高而导致网络安全态势感知结果不准确的问题,受免疫危险理论启发,提出了一个新的网络安全态势感知模型。模型采用分布式结构设计,部署在主机上的传感器利用人工抗体实时检测网络攻击,并依据攻击类别和频度计算危险信号大小;模型中的安全态势评估中心通过分析、融合来自主机的多数据源危险信号,进而定量感知主机和整个网络的安全态势。理论分析和仿真结果表明该模型是有效的,并解决了网络安全类的人工免疫系统难以区分自体/非自体之不足,为实时、定量感知网络安全态势提供了一个新思路。
The danger theory is changing the traditional thinking ways of self/non-self discrimination.Aiming at the deficiencies of the immunity based security situation awareness method,this paper proposed an immune danger theory based quantitative model for network security situation awareness（DTQMSA）.The mode architecture was distributed.The host-based located sensors were in charge of the detection of network attacks and the computation of danger signal.The network security situation was obtained through fusing and analyzing the multi danger signal coming from each computer host.Theoretical analysis and simulation results show that the proposed model is valid.Thus,it provides a good solution to network security situation awareness quantitatively and in real time.