| 基于机器学习的入侵检测系统 |
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| 引用本文： | 蒋道霞.基于机器学习的入侵检测系统[J].淮阴工学院学报,2005,14(1):23-25. |
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| 作者姓名： | 蒋道霞 |
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| 作者单位： | 南京理工大学,江苏,南京,210094 |
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| 摘 要： | 针对现有入侵检测系统仔在的不足，研究了基于网络和误用的入侵检测系统Snort，提出了基于机器学习的Snort系统方案．使Snort不仅能通过模式匹配的方式检测到一些已知的攻击，还能通过自我学习检测到未知的攻击.
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| 关 键 词： | 入侵检测系统 机器学习 神经网络 Snort |
| 文章编号： | 1009-7961(2005)01-0023-03 |
| 修稿时间： | 2004年11月22 |
The Intrusion Detetection System Based On Mechine Learning |
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| JIANG Dao-xia.The Intrusion Detetection System Based On Mechine Learning[J].Journal of Huaiyin Institute of Technology,2005,14(1):23-25. |
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| Authors: | JIANG Dao-xia |
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| Abstract: | Aiming at some problems in current intrusion detection technique, this paper proposes a general intrusion detection system based on machine learning, and researches on the intrusion detection system-Snort based on the network and misuse. A plan of Snort learning system based on the machine is put forward, so that the machine learning-based Snort system can not only detect the known attacks by pattern matching, but also detect the unknown attacks by self learning. |
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| Keywords: | Intrusion Detection System Machine Learning Neural Network Snort |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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