| 基于数据挖掘的自适应网络入侵检测系统研究 |
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| 引用本文： | 池敏,沈萍. 基于数据挖掘的自适应网络入侵检测系统研究[J]. 计算机教育, 2010, 0(14): 149-152 |
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| 作者姓名： | 池敏 沈萍 |
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| 作者单位： | 浙江长征职业技术学院,计算机系,浙江,杭州,310023 |
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| 摘 要： | 文章提出采用数据挖掘技术,将误用检测和异常检测相结合,构建一个自适应网络入侵检测系统。通过对其关键技术进行研究,阐述实验设计思想。实验证明,该系统能及时更新规则,提高各种入侵检测率,具有一定的自适应能力。
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| 关 键 词： | 入侵检测 数据挖掘 自适应 决策树方法 |
Study of Adaptive Network Intrusion Detection System Based on Data Mining |
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| CHI Min,SHEN Ping. Study of Adaptive Network Intrusion Detection System Based on Data Mining[J]. Computor Education, 2010, 0(14): 149-152 |
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| Authors: | CHI Min SHEN Ping |
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| Affiliation: | (Department of Computer Science, Zhejiang Changzheng Professional and Technical College, Hangzhou 310023, China) |
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| Abstract: | A method of combining misuse detection with anomaly detection, which is based on data mining technology, is presented in this paper to analyze the network intrusion detection system and its adaptive ability. Key technology is studies, also experiment is designed. The experiment shows that the system can create new rules in time, so that the NIDS has the adaptive ability. |
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| Keywords: | intrusion detection data mining adaptive decision tree |
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