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汉明网在入侵检测中的应用

发表时间:2009-02-28  浏览量:1755  下载量:567
全部作者: 朱莹莹,符彦惟
作者单位: 江苏工业学院信息科学与工程学院;江苏工业学院网络中心
摘 要: 入侵检测系统智能性研究是目前网络安全领域的研究热点,人工神经网络(artificial neural network, ANN)方法在入侵检测上的应用得到了广泛的关注。在分析现有入侵检测系统(intrusion detection system, IDS)存在的一些问题之后,介绍了汉明网(Hamming net)在入侵检测中的一种应用模型,可以检测网络通信中网络数据包的攻击特征,对真实的网络数据进行分类,提高了对未知威胁和变异入侵的检测能力。最后,给出应用分析结果,证明了文中所提出的应用模型能够提高检测精度。�
关 键 词: 计算机应用;神经网络;入侵检测;特征提取;汉明网
Title: Application of Hamming net in intrusion detection
Author: ZHU Yingying, FU Yanwei
Organization: School of Information Science and Engineering Jiangsu Polytechnic University; Network Center, Jiangsu Polytechnic University
Abstract: Intelligent methods for intrusion detection system (IDS) is a hot spot in the network security field at present, and application of artificial neural network (ANN) methods in IDS has drawn much concern. After analyzing some existing problem of IDS, this paper introduces an application model of Hamming net in intrusion detection, which can detect attack signatures of network packets in network traffic, and classify real data from HTTP network traffic, thus enhance the capacity for detecting new threat and attack variation. The analytical results show that the application model can improve the precision of detection.�
Key words: computer application; neural network; intrusion detection; feature extraction; Hamming net
发表期数: 2009年2月第4期
引用格式: 朱莹莹,符彦惟. 汉明网在入侵检测中的应用[J]. 中国科技论文在线精品论文,2009,2(4):405-410.
 
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