大规模分段攻击下网络安全态势预测方法研究

Research on Network Security Situation Prediction Method under Large-scale Segmented Attack

为了提升大规模分段攻击下网络安全态势预测能力,提出基于比特间隔序列均衡调度的大规模分段攻击下网络安全态势预测方法。构建大规模分段攻击下网络通信传输信道模型,采用自适应扩频增益控制方法进行分布式无线通信网络传输信道均衡设计。建立大规模分段攻击下网络安全态势的统计序列模型,采用分数间隔谱特征提取方法进行大规模分段攻击下网络安全态势的特征提取,结合模糊聚类分析方法对提取的特征信息进行优化聚类,采用自适应波特间隔均衡方法实现大规模分段攻击下网络安全态势的优化预测。仿真结果表明,采用该方法进行大规模分段攻击下网络安全态势预测的准确性较高,负载均衡性较好,可靠性较高。

In order to improve the ability of network security situation prediction under large-scale segmented attack,a network security situation prediction method based on bit interval sequence balanced scheduling is proposed.The transmission channel model of network communication under large-scale segmented attack is constructed,and the adaptive spread spectrum gain control method is used to design the transmission channel equalization of distributed wireless communication network.The statistical sequence model of network security situation under large-scale segmented attack is established.The feature extraction method of fractional interval spectrum is used to extract the characteristics of network security situation under large-scale segmented attack.The extracted feature information is optimized by fuzzy clustering analysis method.The adaptive Porter interval equalization method is used to optimize the network security situation under large-scale subsection attack forecast.The simulation results show that the method has high accuracy,good load balance and reliability.