| 基于模式识别的校园网入侵检测系统应用研究 |
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| 引用本文： | 刘国成.基于模式识别的校园网入侵检测系统应用研究[J].吉林工程技术师范学院学报,2012,28(7):71-73. |
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| 作者姓名： | 刘国成 |
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| 作者单位： | 吉林工程技术师范学院信息工程学院,吉林长春,130052 |
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| 摘 要： | 作为开放网络的组成部分,校园网络的安全是不可忽视的.入侵检测属于动态安全技术,它能够主动检测网络的易受攻击点.相对于传统的入侵检测技术来说,采用模式识别的入侵检测具有检测准确度高以及能识别大量新型攻击的优点.利用相似度对网络连接数据的属性特征进行选择,抽取其关键特征,以优化朴素贝叶斯的分类性能.利用VC6.0,设计实现入侵检测的原型系统,经测试,该系统性能良好.
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| 关 键 词： | 入侵检测系统 模式识别 贝叶斯分类 |
Application Research of Campus Network Intrusion Detection System based on Pattern Recognition |
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| LIU Guo-cheng.Application Research of Campus Network Intrusion Detection System based on Pattern Recognition[J].Journal of Jilin Teachers Institute of Engineering and Technology(Natural Sciences Edition),2012,28(7):71-73. |
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| Authors: | LIU Guo-cheng |
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| Institution: | LIU Guo-cheng(College of Information Engineering,Jilin Teachers Institute of Engineering and Technology,Changchun Jilin 130052,China) |
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| Abstract: | As an integral part of an open network,campus Network Security is not be ignored.The intrusion detection is part of dynamic security technology,it can take the initiative in testing the vulnerability of the network point.Compared to traditional intrusion detection technologies,those based on pattern recognition have the advantages of high detection accuracy and the ability to recognize many new types of attacks.This paper uses similarity to select the attribute features of network connecting data,gets the main feature,improves the traditional Bayesian classification performance.Using VC6.0,an intrusion detection prototype system based on pattern recognition is designed.In the LAN environment,the test results confirm the good performance of the system. |
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| Keywords: | Intrusion Detection System Pattern Recognition Bayesian classification |
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