摘要
基于智能技术的异常检测正成为IDS研究的一个重要方向,其研究目标主要是提高检测系统的准确性、实时性、高效性以及自适应性,借鉴生物免疫系统的计算机免疫系统将成为解决入侵检测问题的有效手段。本文分析了生物免疫系统的原理,结合生物免疫理论,提出一种基于检测代理的分布式网络入侵检测免疫模型。
The anomaly intrusion detection base on intelligent technology is becoming an important direction of the IDS, the main research object is improving the veracity, real time, high efficiency and self-adaptability. The computer immune system use for reference biological immune system will be an effective instrument to settle the intrusion detection problem.This essay analyzes the principle of a biological immune system and imitating the human immune system, proposes a distributed network intrusion detection model based on the theory of artificial immunization.
出处
《电脑知识与技术》
2006年第4期90-91,共2页
Computer Knowledge and Technology
基金
湖南省软科学研究计划项目(05ZK3022)。
关键词
入侵检测
人工免疫
负选择
抗体基因库
Intrusion Detection
Artificial Immune
Negative Selection
Antibody Gene Bank
