计算机应用研究2016，Vol.33Issue(4)：961-966,6.DOI:10.3969/j.issn.1001-3695.2016.04.001
人工免疫理论在异常检测中的应用进展
Advances in application of artificial immune theory to anomaly detection
摘要
Abstract
This paper intended to give an overview of anomaly detection based on artificial immune system(AIS).Firstly,this paper gave the concepts and terms of AIS,followed with the definition of anomaly detection and the analysis of basic theory of AIS.Then it point out further analysis of mainly AIS algorithm theory and its application to anomaly detection.Finally,it point out some possible research directions of the application of AIS to anomaly detection in a further step as the summary.关键词
异常检测/人工免疫/否定选择算法/克隆选择算法/免疫网络/危险理论Key words
anomaly detection/artificial immune/negative selection algorithm/clonal selection algorithm/immune network/danger theory分类
信息技术与安全科学引用本文复制引用
杨斌,陆余良,杨国正,樊甫华..人工免疫理论在异常检测中的应用进展[J].计算机应用研究,2016,33(4):961-966,6.基金项目
国家自然科学基金资助项目（61171170）；安徽省自然科学基金资助项目 （）
