计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 435-437.

• 信息安全 • 上一篇    下一篇

基于粗糙集的实时网络安全态势评估的研究

吴朝雄,王晓程,王红艳,石波   

  1. 中国航天科工集团二院706所 北京100854,中国航天科工集团二院706所 北京100854,中国航天科工集团二院706所 北京100854,中国航天科工集团二院706所 北京100854
  • 出版日期:2018-11-14 发布日期:2018-11-14

Research on Real-time Network Security Situation Assessment Based on Rough Set

WU Chao-xiong, WANG Xiao-cheng, WANG Hong-yan and SHI Bo   

  • Online:2018-11-14 Published:2018-11-14

摘要: 针对网络安全态势评估中评估精度以及实时性不足的问题,提出了基于粗糙集的实时网络安全态势评估方法。通过粗糙集理论从多样本数据中发现高质量的攻击规则集,生成多级规则树,将规则与实时攻击感知引擎结合,实现对动态数据流的在线分析检测,最后将实时检测的结果作为态势评估的依据,并根据层次化态势评估模型实时计算整体网络的安全态势值。经测试证明该方法有效地提高了态势评估的客观性、实时性、准确性。

Abstract: Aiming at the problem of the accuracy and real-time of situation assessment,a real-time network security si-tuation assessment based on rough set method was proposed.It acquires high-quality rule sets from multi-sample through rough set theory,and generates multi-level rule trees,then integrates rule into real-time attack awareness engine to achieve online analysis and detection of dynamic data stream at the same time.And the result as the evidence of situation assessment is used to compute the value of situation in whole network according to the model of situation assessment at last.The method improves the assessment on accurate,real-time,objective sufficiently by experiments.

Key words: Network security,Situation assessment,Rough set,Dynamic,Real-time,Rule trees,Attack awareness

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