| 一种网络入侵检测的改进贝叶斯算法 |
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| 引用本文： | 张娟,曾茂林.一种网络入侵检测的改进贝叶斯算法[J].软件,2011(3):113-115,120. |
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| 作者姓名： | 张娟 曾茂林 |
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| 作者单位： | 南华大学计算机科学与技术学院;湖南工业大学计算机与通信学院 |
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| 摘 要： | 入侵检测技术越来越受到人们的关注。提出了一种用于入侵检测中警报分类的改进自适应贝叶斯算法,该算法减少了入侵检测中的积极错误。通过对标准数据测试集KDD99进行实验,证明了此方法在短应答时间里拥有极高的分类效率,而且只需要极少的计算资源来减少积极错误。
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| 关 键 词： | 异常入侵检测 报警分类 贝叶斯算法 积极错误 |
An Improved Bayesian Algorithm For Anomaly Intrusion Detection |
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| ZHANG Juan,ZENG Mao-lin.An Improved Bayesian Algorithm For Anomaly Intrusion Detection[J].Software,2011(3):113-115,120. |
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| Authors: | ZHANG Juan ZENG Mao-lin |
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| Affiliation: | 1.University of South China,Hengyang 421001,China;2.Human university of technology,Zhuzhou 412008,China) |
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| Abstract: | Intrusion Detection has received more and more attention.Proposed a improved self adaptive Bayesian algorithm to the alert classification and reduce false positives in Intrusion Detection.By the experiment on KDD99 benchmark dataset,it is proved that this method has high classification rates in short response time and reduce false positives using limited computational resources. |
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| Keywords: | anomaly intrusion detection alert classification Bayesian algorithm false positives |
| 本文献已被 CNKI 维普 等数据库收录！ |
