| 基于数据挖掘技术的智能化入侵检测模型 |
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| 引用本文： | 张巍. 基于数据挖掘技术的智能化入侵检测模型[J]. 计算机工程, 2005, 31(8): 134-136,156 |
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| 作者姓名： | 张巍 |
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| 作者单位： | 广东工业大学计算机学院,广州,510090 |
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| 基金项目： | 广东省自然科学基金团队资助项目(20003051) |
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| 摘 要： | 给出了一个基于数据挖掘技术智能化入侵检测模型，它由若干个对等式执行入侵检测功能的单元IDU（intrusion detection unit)组成，每个IDU参照通用入侵检测轮廓CIDF（common intrusion detection framcwork)构建，该模型采用关联规则，序列规则对数据进行挖掘，用判定树分类技术对获得的模式进行分类，实验表明，该模型具有较好的效益。
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| 关 键 词： | IDU 异常检测 数据挖掘 滥用检测 关联规则 序列规则 |
| 文章编号： | 1000-3428(2005)08-0134-03 |
An Intelligent Model of Intrusion Detection Based on Data Mining Approach |
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| ZHANG Wei. An Intelligent Model of Intrusion Detection Based on Data Mining Approach[J]. Computer Engineering, 2005, 31(8): 134-136,156 |
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| Authors: | ZHANG Wei |
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| Abstract: | This paper puts forward an intelligent model of intrusion detection based on data mining approach. It is composed of many intrusion detection units (IDU). Each IDU is built according to the common intrusion detection framework (CIDF). The data mining of association rule and sequence mode is used to come into being rules. The rules are classified by decision tree. These tests showed this model is valid. |
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| Keywords: | IDU Anomaly detection Data mining Misuse detection Association rule Sequence rule |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
