| 基于关联规则挖掘的Q-CFIsL算法在网络入侵检测系统中的应用 |
| |
| 引用本文： | 滕智源.基于关联规则挖掘的Q-CFIsL算法在网络入侵检测系统中的应用[J].企业科技与发展,2010(5):59-61. |
| |
| 作者姓名： | 滕智源 |
| |
| 作者单位： | 桂林电子科技大学计算机与控制学院,广西桂林541004 |
| |
| 摘 要： | 针对关联规则挖掘算法在处理海量数据的过程中存在效率低、需要反复访问数据库等问题，以及在入侵检测系统产生误报、效率低下等问题，文章提出了基于关联规则挖掘的Q—CFIsL算法，设计了基于Q—CHsL算法的入侵警报检测系统模型。实验证明，Q-CFIsL算法在减少入侵警报的数量和降低误报率等方面明显优于其他算法，
|
| 关 键 词： | 关联规则 频繁闭项集Q—CFIsL算法 数据挖掘 入侵检测 |
The Applications of Q-CFIsL Based on the Association Rules Mining in the NIDS |
| |
| Authors: | TENG Zhi-yuan |
| |
| Institution: | TENG Zhi-yuan (Computer and Controlling School of Guilin University of Electronic Science and Technology, Guilin Guangxi 541004) |
| |
| Abstract: | Based on the low efficiency and repeated visit of DB in mass data processing, the false-reporting and the low efficiency of Association Rules Mining, the article puts forward Q-CFIsL computing method based on Association Rules Mining and designs the simulation of NIDS warning system based on Q-CFIsL. The result shows that Q-CFIsL computing method based on Association Rules Mining is better than other methods in terms of reporting cases and false-reporting rate. |
| |
| Keywords: | Association Rules Q-CFIsL computing method of frequent closing data mining NIDS |
| 本文献已被 维普 等数据库收录！ |
