基于神经网络算法的网络安全检测和防护

Network Security Detection Method and Protection System Based on Neural Network Algorithm

本文基于神经网络算法,针对计算机信息系统如何提升防御计算机犯罪、计算机病毒、黑客攻击、信息战争等网络攻击的能力,提出一种新的网络安全检测方法,构建了一种新的神经网络和防护系统。经实验,这种新的网络安全检测方法和防护系统,能够对攻击对象的信息做出快速检测、快速反应,自动提升计算机信息系统的防护功能,还可对网络存储信息进行隔离和转存备份,防止信息丢失,使计算机信息系统更加方便安全。

Based on neural network algorithm,this paper proposes a new network security detection method and constructs a new neural network and protection system for how to improve the ability of computer information system to defend against network attacks such as computer crime,computer virus,hacker attack and information war.Through the experiments,the new test method of network security and protection systemcan make rapid detection and rapid response for the attacking object information,automatic enhance protection of computer information system function,and can also isolate and backup network storage information to prevent information loss and make computer information system more convenient and secure.