网络安全组态势感知及其带粒子群优化的效用分析方法  

Team Situation Awareness of Network Security and its Avail Analysis with Particle Swarm Optimization

作　　者：郭文忠[1] 林宗明[1] 陈国龙[1,2] 刘延华[1] 

机构地区：[1]福州大学数学与计算机科学学院,福建福州350108 [2]离散数学及其应用教育部重点实验室,福建福州350003

出　　处：《小型微型计算机系统》2010年第3期470-474,共5页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(10871221;60673161)资助;福建省自然科学基金项目(A0820002;A0610012)资助;福建省科技创新平台计划基金项目(2009J1007)资助;福建省科技厅重点项目(2007H0023)资助;福建省教育厅科技项目(JA08011)资助

摘　　要：针对网络安全系统中个体态势感知的局限性,提出网络安全组态势感知的概念,讨论了其发展的必要性,同时对相关概念的区别和联系进行了分析.通过设计基于粒子群优化算法的聚类分析,对网络安全环境中的个体态势感知与组态势感知的关系进行了定量研究.模拟实验结果表明,网络安全系统中组态势感知能力优于个体态势感知能力,且其感知能力与任务的工作负荷大小有关.Due to the weakness of personal situation awareness in network security system,the thesis proposes the concept of network security team situation awareness,discusses its possibility of development and analyzes the difference and relation of related concepts at the same time.Furthermore,by designing the cluster analysis experiment based on particle swarm optimization,the thesis makes a quantitative research on the relationship between the personal situation awareness and team situation awareness in network security environment.The result shows that the ability of team situation awareness is better than that of personal situation awareness,which is also related to the working load of the task.

关 键 词：网络安全 态势感知 组态势感知 群智能 粒子群优化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]