摘要
通过模拟T细胞的培育机制,包括阴性选择和阳性选择,提出基于T细胞免疫耐受的检测器生成算法.该算法采用基于规则的基因表达方式同匹配规则相结合的方法,能够灵活表示分类规则间的或关系,并且引入阴性选择算子,使算法能够更有效地生成检测器.
Antibody has a detecting effect in immune system. Simulating the generating and evolution and working process of the antibody in immune system is the key to build an immune - based intrusion detection system (IDS). This paper proposes a detector maturation algorithm based on T - cell immunity and tolerance. In this algorithm we adopt novel genotype and phenotype representations integrated with matching rule, which can show flexibly the ‘ or' relation between the rules for classifying. Besides, it makes generating detector more effective by introducing negative selection operator.
出处
《哈尔滨理工大学学报》
CAS
2007年第1期5-8,共4页
Journal of Harbin University of Science and Technology
关键词
人工免疫系统
入侵检测系统
阴性选择
阳性选择
克隆
artificial immune system(AIS)
intrusion detection system(IDS)
negative selection
positive selection
clone