GABP神经网络算法模型在计算机网络安全评估的应用研究  

Application of GABP Neural Network Algorithm Model in Computer Network Security Evaluation

作　　者：白冰[1] BAI Bing(Shaanxi Police College,Xi'an 710021 China)

机构地区：[1]陕西警官职业学院,陕西西安710021

出　　处：《自动化技术与应用》2022年第1期83-86,共4页Techniques of Automation and Applications

基　　金：陕西省教育厅2018年度专项科学研究计划资助项目(18JK0961)。

摘　　要：针对互联网应用过程中受到攻击造成网络安全性下降的问题。在传统BP神经网络的基础上,建立互联网安全因子的非线性系统,通过引入遗传算法具备的全局搜索能力进行网络结构优化,扩大算法的应用范围,有效提高神网络的泛化能力,实现对网络风险和网络安全态势的评估和预测。通过实例验证表明:基于GABP神经网络的安全评估预测系统,使整个网络拓扑结构安全综合性保持在一个较高的势态值位置,对网络安全的预测为网络管理提供了有效的技术手段。In view of the current situation of network security decline caused by the attack in the process of Internet application.Based on the traditional BP neural network, a nonlinear system of Internet security factors is established, and the network structure optimization is carried out by introducing the global search ability of genetic algorithm, which is extended to the application range of the algorithm, which can effectively improve the generalization ability of divine network, and realize the assessment and prediction of network risk and network security situation. An example is given to show that the security evaluation and prediction system of GABP neural network can ensure that the whole network topology security is kept at a high potential position, provide greater convenience for network management.

关 键 词：GABP神经网络 网络安全 全局搜索能力 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]