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一种新的多峰值进化异常入侵检测方法
引用本文:翁广安,余胜生,周敬利. 一种新的多峰值进化异常入侵检测方法[J]. 小型微型计算机系统, 2008, 29(6): 1122-1125
作者姓名:翁广安  余胜生  周敬利
作者单位:华中科技大学,计算机学院,湖北,武汉,430074
摘    要:提出一种基于免疫的多峰值进化异常入侵检测方法.self空间表示为一系列超球体,为提高self和non-self之间界线划分的精确度,还引入了可变半径self球体模型,训练检测器时计入self数据点分布特性的影响.改进的多峰值遗传算法使检测器尽量填充self附近以及self超球体之间难以检测的细小区域.实验显示系统获得较好结果,并且可变半径self球体模型在DARPA99网络数据集上提高检测率的同时降低了误报率,该数据集符合模型的假设.

关 键 词:人工免疫系统  入侵检测  多峰值进化  可变半径Self球体模型  多峰值  异常入侵检测方法  Approach  Intrusion Detection  Anomaly  Based  Evolution  Multimodal  假设  球体模型  误报率  检测率  数据集  网络  结果  显示系统  实验  小区域  遗传算法  改进

Novel Multimodal Evolution Based Anomaly Intrusion Detection Approach
WENG Guang-an,YU Sheng-sheng,ZHOU Jing-li. Novel Multimodal Evolution Based Anomaly Intrusion Detection Approach[J]. Mini-micro Systems, 2008, 29(6): 1122-1125
Authors:WENG Guang-an  YU Sheng-sheng  ZHOU Jing-li
Affiliation:WENG Guang-an,YU Sheng-sheng,ZHOU Jing-li(Computer School of Huazhong University of Science , Technology,Wuhan 430074,China)
Abstract:The paper presents an artificial immunity based multimodal evolution approach for anomaly intrusion detection. Self space is described by a series of hyper-spheres, and a variable radius self sphere model is developed to locate the boundary between self and non-self more accurately, it takes the distribution characteristics of training set into account while generating detectors. The modified multimodal genetic algorithm guides the detectors evolving towards those blind small areas close to self set or amon...
Keywords:artificial immune systems  intrusion detection  multimodal evolution  variable radius self sphere model  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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