计算机工程与应用2012，Vol.48Issue(2)：103-105,3.DOI:10.3778/j.issn.1002-8331.2012.02.029
基于免疫的检测漏洞问题研究
Study on leaks of detection based on immunity
何燚 1姜建1
作者信息
- 1. 河南城建学院计算机工程系,河南平顶山467044
- 折叠
摘要
Abstract
For the leaks of the available real-valued negative selection algorithm, an improved negative selection algorithm is pro-posed. The algorithm is based on variable-length real-valued detectors. The samples are divided into boundary samples and non-boundary samples. In the detector generation process, it identifies and records the boundary samples. While new samples is tested, whether the de-tectors match the boundary samples are recorded. Detailed realization and advantages of the algorithm are given. The experiments of synthetic and real data sets( Iris data set and biomedical data set) are done to test the algorithm. The results show that the algorithm has higher detection rate and need less detector numbers. It is superior to available algorithms in coverage of leaks at boundary of self and non-self.关键词
人工免疫/非选择算法/漏洞/检测器Key words
artificial immune system/ negative selection algorithm/ leak/ detectors分类
信息技术与安全科学引用本文复制引用
何燚,姜建..基于免疫的检测漏洞问题研究[J].计算机工程与应用,2012,48(2):103-105,3.
