中文摘要：

非均匀噪声环境下网络小扰动数据入侵具有信号振幅小、攻击性强等特点,传统方法对小扰动入侵检测准确率低、漏报率高,不能对小扰动入侵源进行准确的定位和检测。提出一种基于生物免疫学的入侵源定位检测系统设计,搭建适用于非均匀噪声环境下网络小扰动入侵检测的软硬件平台,对输入检测系统的数据进行预处理,模拟生物免疫系统信息处理机制,通过不断更新规则库识别出＂友好＂数据和＂非友好＂数据,最后进行亲和力计算和数据匹配,实现非均匀噪声环境下网络小扰动入侵源定位和检测。通过仿真试验证明提出的方法能够有效地完成对小扰动入侵源的定位和检测。

英文摘要：

In the non uniform noise environment, the intrusion of small disturbance data in the network has the characteristics of small signal amplitude, strong attack and so on,the traditional method of disturbance intrusion de-tection of low accuracy, high failure rate of small, the accurate localization and detection of the small disturbance source can not be carried out. A design of intrusion detection system based on biological immune system is presen-ted, the software and hardware platform for the intrusion detection of small disturbance in the environment of non uniform noise is set up, preprocessing the data of input detection system, information processing mechanism of simu-lated biological immune system, by constantly updating the rule base to identify the “friendly” data and “non friendly^ data,Finally, affinity calculation and data matching,localization and detection of small disturbance intru-sion in the environment of non uniform noise. Through simulation experiment, the proposed method can effectively accomplish the localization and detection of small disturbance intrusion sources.