| 基于人工免疫的网络入侵检测模型 |
| |
| 引用本文： | 邓荣. 基于人工免疫的网络入侵检测模型[J]. 煤炭技术, 2011, 30(4) |
| |
| 作者姓名： | 邓荣 |
| |
| 作者单位： | 重庆工程职业技术学院,重庆,400037 |
| |
| 基金项目： | 重庆市高等教育教学改革研究重点项目:煤矿安全网络监控培训教学研究与实践(09-2-129) |
| |
| 摘 要： | 误警率高是当前许多入侵检测系统难以解决的难题,文章通过模拟引入生物免疫系统,抗体对入侵抗原的动态克隆扩增过程,将传统的入侵检测规则映射为生物抗体,网络数据包中包含的网络传输模式映射为生物抗原,通过抗体对抗原的识别与克隆扩增原理,判断网络入侵风险情况,以降低误报率。
|
| 关 键 词： | 入侵检测 人工免疫 网络态势 网络安全 |
Network Intrusion Detection Model Based on Artificial Immune |
| |
| DENG Rong. Network Intrusion Detection Model Based on Artificial Immune[J]. Coal Technology, 2011, 30(4) |
| |
| Authors: | DENG Rong |
| |
| Affiliation: | DENG Rong(Chongqing Vocational Institute of Engineering,Chongqing 400037,China) |
| |
| Abstract: | The high false alarm rate is a difficult problem of current intrusion detection.This article is intended to map the traditional intrusion detection rules as biological antibodies by introducing biological immune system simulatively in the amplifying process of the antibodies dynamically cloning the invasion antigen,the network transfer mode includes network packet as antigen to assess the network intrusion risks by the principles of the antibody identifying and clonig amplifying the antigen so as to reduce ... |
| |
| Keywords: | intrsion detection artificial immune network trends network security |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
