非均匀噪声环境下网络小扰动入侵源定位检测方法研究

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。

Design of intrusion detection system for intrusion detection system with small disturbance

Nonuniform noise environment network invasion of small disturbance data have the characteristics of small signal amplitude, aggressive, etc, the traditional method of small disturbance low intrusion detection accuracy, high non-response rates, not invasion of small disturbance source for accurate positioning and detection.Proposed an intrusion source localization based on biological immunology detection system design, set up suitable for heterogeneous network intrusion detection of small disturbance noise environment hardware and software platform, data preprocessing of input detection system, the simulation of biological immune system information processing mechanism, by constantly updated rules library to identify the "friendly" and "friendly" data, the affinity calculation and data matching, realize nonuniform noise environment network intrusion source localization and the small disturbance detection.In this paper, through the simulation test show that the proposed method can effectively complete invasion of small disturbance source location and detection.