吉林大学学报（理学版）2017，Vol.55Issue(6)：1485-1490,6.DOI:10.13413/j.cnki.jdxblxb.2017.06.26
利用确定性树突状细胞算法在线检测僵尸网络
Deterministic Dendritic Cell Algorithm for Online Detection of Botnet
摘要
Abstract
We applied artificial immune system algorithm to the real-time detection of botnet,and proposed an online detection model based on deterministic dendritic cell algorithm.Combining the characteristics of botnets,the behavior signals were defined,and the real-time detection of the host of botnet based on the heuristic information was realized.The validity of the model was experimentally verified by using standard data sets.Experimental results show that this model has the advantages of real-time,simple behavior definition and accepting the definition of multiple kinds of heuristic information.Moreover,the false negative rate and false positive rate of detection of botnet are low.关键词
人工免疫系统/树突细胞算法/危险理论/僵尸网络检测Key words
artificial immune system/dendritic cell algorithm/danger theory/botnet detection分类
信息技术与安全科学引用本文复制引用
董刚,滕云,姜鑫阳,郭东,李强..利用确定性树突状细胞算法在线检测僵尸网络[J].吉林大学学报（理学版）,2017,55(6):1485-1490,6.基金项目
国家自然科学基金(批准号:61170265 （）
61472162). （）
