基于粗糙集与生物免疫的入侵检测模型研究  

A Research on the Biological Intrusion Detection based on the Rough Set Theory and the Biological Immunity

作　　者：胥景伟 姜梅[1] 孙端[1] 王超峰[1] XU Jing-wei,JIANG Mei,SUN Duan,WANG Chao-feng(School of Computer Engineering,Qingdao Technological University,Qingdao 266033,China)

机构地区：[1]青岛理工大学计算机工程学院

出　　处：《电脑知识与技术（过刊）》2009年第6期1476-1479,共4页Computer Knowledge and Technology

基　　金：山东省青岛市科技发展计划项目基金资助(04-3-GR-30)

摘　　要： 该文将粗糙集理论与生物免疫相结合,提出一种基于粗糙集与生物免疫的入侵检测模型。该模型由规则库、数据处理模块、检测器及报警处理模块等组成。与传统入侵检测模型相比,该入侵模型借用了粗糙集和生物免疫的优势,实现了误用入侵与异常入侵的同时检测,对免疫细胞的产生有针对性,且具有整体协作性、动态适应性的特点,是一种能够适应复杂网络环境的入侵检测模型。This article combine the rough set theory and the biological immunity,based on a model of rough set of immune and biological intrusion detection.The model is composed of rule base,data-processing module,the detector and alarm processing module,and other components.Compare with the traditional model of intrusion detection,the invasion of the rough set model has the advantages of biologi-cal and immunological,it can detect the misuse of the invasion and the abnormal invasion at the same time,target the production of im-mune cells,and have the characteristics of collaborative as a whole and to adapt to the dynamic Sexual.It is a model that can adapt to a complex network of environmental intrusion detection.

关 键 词：粗糙集 生物免疫 入侵检测 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]