| 数据挖掘技术在网络入侵检测中的应用 |
| |
| 引用本文： | 邱舟强,滕少华,李振坤,陈平华,张巍.数据挖掘技术在网络入侵检测中的应用[J].江西师范大学学报(自然科学版),2006,30(1):54-57. |
| |
| 作者姓名： | 邱舟强 滕少华 李振坤 陈平华 张巍 |
| |
| 作者单位： | 广东工业大学,计算机学院,广东,广州,510090 |
| |
| 基金项目： | 广东省博士启动基金;广东省科技计划 |
| |
| 摘 要： | 基于通用入侵检测轮廓,建立了一个基于数据挖掘技术的异常检测模型,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规则进行分类.实验表明,本模型具有较好的效益.
|
| 关 键 词： | 入侵检测轮廓 异常检测 数据挖掘 关联规则 序列规则 |
| 文章编号： | 1000-5862（2006）01-0054-04 |
| 收稿时间： | 2005-08-10 |
| 修稿时间： | 2005-08-10 |
The Application of the Data Mining Technology in Network Intrusion Detection |
| |
| QIU Zhou-qiang,TENG Shao-hua,LI Zhen-kun,CHEN Ping-hua,ZHANG Wei.The Application of the Data Mining Technology in Network Intrusion Detection[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2006,30(1):54-57. |
| |
| Authors: | QIU Zhou-qiang TENG Shao-hua LI Zhen-kun CHEN Ping-hua ZHANG Wei |
| |
| Institution: | Faculty of Computer, Guangtong University of Technology, Guangzhou 510090, China |
| |
| Abstract: | Put forward a model of network intrusion detection based on data mining approach.Association rule and sequence mode for building intrusion detection models and detecting anomaly are realized.The rules are classified by decision tree.These tests showed this model is valid. |
| |
| Keywords: | CIDF anomaly detection data mining association rule sequence rule |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
