计算机工程与应用2016，Vol.52Issue(23)：172-175,180,5.DOI:10.3778/j.issn.1002-8331.1605-0368
基于粗糙集的改进树突状细胞算法
Improved dendritic cell algorithm based on rough set
摘要
Abstract
It is necessary for Dendritic Cell Algorithm(DCA)to reduce the monitoring data on network, which can allevi-ate the burden of intrusion detection system and improve the efficiency of detection. This paper proposes an intrusion detec-tion method by integrating the DCA with attribute reduction in rough set theory. By using the concept of attribute signifi-cance in rough set theory, it reduces the attribute of dataset and produces the input signals of DCA, then detects the intru-sion by DCA. The improved algorithm is tested based on the KDD CUP 99 dataset. The results show that the improved algorithm can reduce the false positive rate when the detection rate is guaranteed. The improved algorithm realizes the auto-extracting of intrusion features and reduces the features needed exactly, accelerates the speed of algorithm. The improved algorithm performs well in combination property.关键词
树突状细胞算法/粗糙集/入侵检测/属性约简/属性重要度Key words
dendritic cell algorithm/rough set/intrusion detection/attribute reduction/attribute significance分类
信息技术与安全科学引用本文复制引用
王舒洋,慕晓冬,张力..基于粗糙集的改进树突状细胞算法[J].计算机工程与应用,2016,52(23):172-175,180,5.基金项目
军内科研预研项目。 （）
