入侵检测系统研究进展  

Review of research progress on intrusion detection system

作　　者：张振国[1] 巩林明[1,2] 

机构地区：[1]陕西科技大学,陕西西安710021 [2]石河子大学,新疆石河子832000

出　　处：《信息化纵横》2009年第16期3-6,共4页

摘　　要：入侵检测系统是信息安全领域研究的热点问题。在阐述入侵检测系统概念和类型的基础上,指出了当前入侵检测系统的优点及局限性。神经网络、遗传算法、模糊逻辑、免疫原理、机器学习、专家系统、数据挖掘、Agent等智能化方法是解决IDS局限性的有效方法。介绍并着重分析了2种基于智能方法的IDS,提出了IDS在今后发展过程中需要完善的问题。IDS is the hot topic in the field of information security. On the elaborated concept and types of IDS, the merit and limitation of the current IDS are pointed out. The intellectualized neural network, genetic algorithm, fuzzy logic, immunity, machine learning, export system, data mining, Agent and so on are effective approaches to overcome the limitation of IDS. Two kinds of IDS based on intelligent method are introduced and analyzed. Finally, issues about IDS that will be consummated in the next developing are put forward.

关 键 词：IDS 入侵检测专家系统 人工神经网络 异常检测 智能体 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]