| 基于数据仓库和数据挖掘的入侵检测模型研究 |
| |
| 引用本文： | 肖凡.基于数据仓库和数据挖掘的入侵检测模型研究[J].教育技术导刊,2007(21). |
| |
| 作者姓名： | 肖凡 |
| |
| 作者单位： | 襄樊学院教育科学与技术系 湖北襄樊441053 |
| |
| 摘 要： | 入侵检测(Intrusion Detection)作为一种新的、以主动方式工作的网络安全技术,引起了人们的极大兴趣。目前入侵检测技术普遍引入数据挖掘技术和数据仓库技术。为了使入侵检测系统更有效地工作,就必须提高其检测的准确率,尽量减少漏报和误报的现象。为了达到这一目标,可以从提高数据仓库和数据挖掘的数据质量入手。而把数据仓库的数据抽取、转换和载入技术作为入侵检测系统(Intrusion Detection System)数据获取、转化的方法是一个很好的选择。实践证明,这样可以大大提高入侵检测系统的数据质量,进而提高入侵检测系统的准确率。因此,这可以作为改进目前入侵检测系统产品的一种有效途径。
|
| 关 键 词： | 入侵检测 数据挖掘 数据仓库 Extraction Transformation Loading |
Modal of Intrusion Detection Based on Data Warehouse and Data Mining |
| |
| XIAO Fan.Modal of Intrusion Detection Based on Data Warehouse and Data Mining[J].Introduction of Educational Technology,2007(21). |
| |
| Authors: | XIAO Fan |
| |
| Abstract: | As a new and active network security technology,intrusion detection has drawn people's great interest.At present,data warehouse and data mining technologies have been widely brought into intrusion detection technology.For it works effectively,the accuracy of intrusion detection system must be improved,reducing its errors.We can improve its data quality to achieve this purpose.Under this circumstance,we can take advantage of data extraction,data transformation and data loading technologies of data warehouse to get data for the system's data warehouse.The fact proves that it can improve the system's data quality greatly,which will raise the accuracy of the system consequently.So,it is an effective method to improve the performance of present intrusion detection product. |
| |
| Keywords: | intrusion detection data mining data warehouse ETL |
| 本文献已被 CNKI 等数据库收录！ |
|
