摘要
通过简单介绍计算机免疫系统的原理,并对传统阴性选择算法进行分析,针对其不足,提出了一种新的生成检测器的改进算法。对匹配规则的阈值可变,并引入了全局匹配和局部匹配的概念,提高了生成的检测器成为成熟检测器的概率。同传统的阴性选择算法相比,大大减少了不可避免的"黑洞"数量,提高了检测率。
The artificial immune system （AIS） is introduced briefly, and then the traditional negative selection algorithm is discussed. In view of the shortage of this algorithm, a new algotihm is put forward. The algorithm mekes threshold re-adjustable, and import the global matching and partial matching. The new algorithm can also reduce the number of ＂black holes＂ and raise the rate of detecting abnormity.
出处
《北京机械工业学院学报》
2008年第2期45-48,共4页
Journal of Beijing Institute of Machinery
关键词
计算机免疫
阴性选择算法
匹配阈值
computer immune
negative selection algorithm
threshold of matching
