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BP神经网络在入侵检测中的应用
引用本文:肖道举,毛辉,陈晓苏.BP神经网络在入侵检测中的应用[J].华中科技大学学报(自然科学版),2003,31(5):6-8.
作者姓名:肖道举  毛辉  陈晓苏
作者单位:华中科技大学计算机科学与技术学院
摘    要:对如何检测未知入侵手段的问题进行了探讨.在被监测程序输入条件已知情况下,借助程序行为简档,给出了一种基于BP神经网络的入侵检测方法,阐述了所用BP神经网络的基本结构以及训练方法,最后在LINUX环境下进行了实验验证.结果表明,在程序行为简档内容比较清晰的条件下,运用BP神经网络检测入侵,可在一定程度上提高入侵检测系统的难确检测率.

关 键 词:入侵检测  BP神经网络  程序行为简档
文章编号:1671-4512(2003)05-0006-03
修稿时间:2002年10月20

The application of BP-neural network in the intrusion detection
Xiao Daoju Mao Hui Chen Xiaosu Xiao Daoju Assoc. Prof., College of Computer Sci. & Tech.,Huazhong Univ. of Sci. & Tech.,Wuhan ,China..The application of BP-neural network in the intrusion detection[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2003,31(5):6-8.
Authors:Xiao Daoju Mao Hui Chen Xiaosu Xiao Daoju Assoc Prof  College of Computer Sci & Tech  Huazhong Univ of Sci & Tech  Wuhan  China
Institution:Xiao Daoju Mao Hui Chen Xiaosu Xiao Daoju Assoc. Prof., College of Computer Sci. & Tech.,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China.
Abstract:In order to detect the unknown intrusion into system service, this paper presented a study of BP neural network in the intrusion detection system under the condition that the behavior of program was profiled. The structure and training method of neural network was explained. With this method, an experiment based on LINUX platform was given. The result showed that the accuracy of detection based on BP neural network was very satisfactory if the profile of the program behavior was clear.
Keywords:intrusion detection  BP neural network  program behavior profile
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