神经网络在网络检测中的应用  

Application of Neural Network for the Network Detection

作　　者：陈伟[1] 孔峰[1] 陶金[1] 

机构地区：[1]广西工学院电子信息与控制工程系,广西柳州545006

出　　处：《广西工学院学报》2011年第1期78-81,共4页Journal of Guangxi University of Technology

基　　金：广西自然科学基金(桂科自0640033)资助

摘　　要：网络攻击的方法层出不穷,攻击手段变化多端,网络监测工具需要向智能化方向发展,以满足当前形势下的需求.根据神经网络的自学习性与自适应性,设计的网络监测系统将网络数据采集工具、Matlab的神经网络工具箱以及VC++编程相互结合起来,实现对网络攻击的自动检测、分析输出结果,且此系统对网络环境的变化具有良好的适应性.Methods for Network attack emerge in endlessly and attack means change multiterminally.In order to satisfy the demand of the current situation,Network monitoring tools need to change to intelligent modes.Based on neural network self-learning and adaptability,this paper presents the design of network monitoring system that takes network data collection tools,Matlab neural network toolbox and VC＋＋ mutual together to realize the automatic detection of network attack,analyze them and offer outputs.And this system has good adaptability for network environment changes.

关 键 词：神经网络 网络检测 VC++ 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]