A Model of Network Security Situation Assessment Based on BPNN Optimized by SAA-SSA

被引：10

作者：

Zhang, Ran ^{[1
]}

Pan, Zhihan ^{[1
]}

Yin, Yifeng ^{[1
]}

Cai, Zengyu ^{[1
]}

机构：

[1] Zhengzhou Univ Light Ind, Zhengzhou, Peoples R China

来源：

INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS | 2022年 / 14卷 / 02期

关键词：

BP Neural Network; Local Extreme Value; Network Security; Simulated Annealing Algorithm; Situation Assessment; Sparrow Search Algorithm; Threshold; Weight;

D O I：

10.4018/IJDCF.302877

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In order to address the problem that the accuracy and convergence of current network security situation assessment models need to be improved, a model of network security situation assessment based on SAA-SSA-BPNN is proposed. Comparative experimental results show that this assessment model has higher accuracy and faster convergence than other situation assessment models based on improved BP neural network.

引用

页数：18

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