| 入侵检测主流技术及发展动态 |
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| 引用本文： | 黎银环.入侵检测主流技术及发展动态[J].计算机安全,2012(6):65-68. |
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| 作者姓名： | 黎银环 |
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| 作者单位： | 广东省江门职业技术学院,广东江门,529000 |
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| 摘 要： | 入侵检测技术是网络安全的主要技术和网络研究的热点,入侵检测方法包括基于数据挖掘、粗糙集、模式识别、支持向量机和人工免疫等主要技术,详细分析了各种检测方法在入侵检测应用中的优缺点。通过回顾研究人员近期的研究成果,提出了该技术的主要发展方向,为进一步研究提供参考。
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| 关 键 词： | 入侵检测 误用检测 异常检测 数据挖掘 模式识别 人工免疫技术 |
Intrusion Detection Technology and Development Trends in the Mainstream |
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| LI Yin-huan.Intrusion Detection Technology and Development Trends in the Mainstream[J].Network & Computer Security,2012(6):65-68. |
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| Authors: | LI Yin-huan |
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| Affiliation: | LI Yinhuan(Jiangmen Polytechnic,Jiangmen,Guangdong 529000,China) |
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| Abstract: | Intrusion detection technology is a network security technology and research focus.Intrusion detection methods include data mining,rough sets,pattern recognition,support vector machines and artificial immune,etc.The article detailed analysis the advantages and disadvantages of a variety of detection methods in intrusion detection applications.By reviewing the recent research results of the researchers,the main direction of development of the technology is put forward and provides a reference for further research. |
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| Keywords: | Intrusion detection misuse detection anomaly detection data mining pattern recognition artificial immune |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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