计算机应用与软件Issue(11)：318-320,3.DOI:10.3969/j.issn.1000-386x.2014.11.080
基于粗糙集的自适应网络入侵检测方法
ADAPTIVE NETWORK INTRUSION DETECTION METHOD BASED ON ROUGH SET
杨波 1王欣 1杜佳1
作者信息
- 1. 甘肃联合大学电子信息工程学院 甘肃 兰州730010
- 折叠
摘要
Abstract
Based on analysing the intrusion detection method, we introduce rough set theory into intrusion detection method, and propose an improved rough set-based adaptive network intrusion detection method.It improves the network intrusion data detection rate by discretised pre-processing on the weight of intrusion data, attribute knowledge reduction, and rule extraction and filtering.Experimental contrasts have been made with the methods based on BP-neural network and on expert system ( ES) and with the ordinary method based on rough set theory, the validity of the method is proved through the experimental data.关键词
粗糙集/入侵检测/知识约简Key words
Rough sets/Intrusion detection/Knowledge reduction分类
信息技术与安全科学引用本文复制引用
杨波,王欣,杜佳..基于粗糙集的自适应网络入侵检测方法[J].计算机应用与软件,2014,(11):318-320,3.
