基于模糊C均值算法的多层次网络安全态势感知方法

Multi-level Network Security Situational Awareness Method Based on Fuzzy C-means Algorithm

当前的多层次网络安全态势感知节点设置形式一般为独立的,感知效率较低,导致安全态势平均绝对误差增加,为此提出基于模糊C均值算法的多层次网络安全态势感知方法。测试结果表明,所设计的模糊C均值算法多层次网络安全态势感知测试组最终得出的安全态势平均绝对误差被较好地控制在0.2以下,优于对照组。

The current multi-level network security situational awareness node settings are generally independent,with low awareness efficiency,resulting in an increase in the average absolute error of security situations.Therefore,a multi-level network security situational awareness method based on fuzzy C-means algorithm is proposed.The test results show that the designed fuzzy C-means algorithm for multi-level network security situational awareness test group can effectively control the average absolute error of the security situation below 0.2,which is better than the control group.