基于人工免疫原理的网络入侵检测系统的应用与研究  

Network Intrusion Detection System Application and Research Based on Artificial Immune Algorithm

作　　者：袁其帅 刘云朋[2] 

机构地区：[1]河南工业和信息化职业学院信息工程系,河南焦作454000 [2]焦作大学信息工程学院,河南焦作454000

出　　处：《科技通报》2014年第11期131-135,共5页Bulletin of Science and Technology

基　　金：河南省自然科学基金研究项目资助(132300410267);河南省信息技术教育研究项目资助(ITE12143)

摘　　要：由于目前用于检测网络入侵的系统不仅检测效率不高,而且错误率也相对较高,因此网络入侵检测系统与当前入网检测的发展趋势极不适应。在网络应用安全方面,由于网络入侵方式和途径多种多样。为保证网络使用安全,本文根据人工免疫原理与网络入侵检测系统的之间的内在关系,探讨一种检测网络入侵的应用系统,它弥补了当前网络入侵检测方面的不足,本文最后还对该系统进行构建和仿真,事实证明,基于人工免疫原理的网络入侵检测系统不仅可以减少入侵检测的错误率,同时还有效降低了网络入侵的漏报率,提高了网络入侵的检测速度和效率。As currently used for network intrusion detection system not only the detection efficiency is not high, and the error rate is high, so the detection system and the detection network development trend of extremely incommensurate. In network security, the network intrusion in various ways. In order to guarantee the network security, this paper based on artificial immune theory and network intrusion detection system, the relationship between, to explore a network intrusion detection system, it makes up for the deficiencies of current network intrusion detection, this paper also gives the system construction and simulation, proved based on artificial immune theory, intrusion detection system not only reducing the intrusion detection error rate, but also reduces the intrusion of missing report rate, improve the network intrusion detection rate.

关 键 词：人工免疫 数据挖掘 入侵检测 网络安全 

分 类 号：TP393.1[自动化与计算机技术—计算机应用技术]