摘要
提出基于Rough集理论和人工免疫的入侵检测系统,通过Rough集理论对网络数据约简得到规则检测器,使用规则检测器设计了基于Rough集的反向选择算法,得到免疫检测器。利用免疫检测器和规则检测器,构造了基于Rough集和人工免疫的入侵检测算法。实验表明,该算法提高了基于人工免疫的入侵检测系统的效率。
This paper proposes a new intrusion detection method based on the Rough set and artificial immune, gains the rule detector by reducing the net data using rough set theory, designs the negative selection algorithm based on the Rough set using the rule detector and gets the immune detector through the algorithm, constructs the intrusion detection method based on Rough set and artificial immune using rule detector and immune detector. Experimental results indicate that the method hugely improves the efficiency of the intrusion detection system based on the artificial immune.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第3期194-195,198,共3页
Computer Engineering
基金
湖北省教育厅科研基金资助重点项目(2004D006)
