摘要
提出一种基于灰色关联的安全态势感知预测方法,利用改进的GM(1,N)理论建立了安全态势预测模型。通过校园网中对异常流量的收集,并将安全数据进行关联分析,实现对系统安全潜在的威胁进行预警提示。最后对该方法行了性能对比。
The sensing-based prediction method of security situation based on gray relation analysis is proposed and the prediction model of security situation is set up by using improved GM(1,N)theory.The early warning to potential threat of system security is implemented by the collection of abnormal traffic in campus network as well as the correlation analysis of security data.Finally,the performance comparison of the algorithm of this method is made.
作者
余建
林志兴
谢彬
YU Jian;LIN Zhixing;XIE Bin(Modern Education Technology Centre,Sanming University,Sanming 365004,Fujian,China;Information Technology and Laboratory Management Center,Wuyi University,Nanping 354300,Fujian,China)
出处
《实验室研究与探索》
CAS
北大核心
2019年第2期31-35,70,共6页
Research and Exploration In Laboratory
基金
2017年福建省中青年教师教育科研项目(JAT170552)
2018年福建省自然科学基金面上项目[2018J01560]
关键词
灰色关联
网络安全
安全态势
预测方法
grey correlation
network security
security situation
prediction method
