摘要
树突状细胞算法DCA(Dendritic Cell Algorithm)是受人工免疫学中的危险理论启发的,具有实时检测异常的能力。树突状细胞DC(Dendritic Cell)能够将抗原与环境信号关联起来激活或抑制人体的免疫响应。按照树突状细胞的功能、作用,建立对蠕虫进行实时检测的模型,实验结果显示,模型能够实时地检测出已知蠕虫和未知蠕虫,并且具有效率高、负载小与低误报率的优点。
Dentritic Cell Algorithm is inspired by danger theory in artificial immunology, and has the ability to real - timely detect anomalies. Dentritic Cell has the power to suppress or activate the immune response of human bodies by correlating antigens and signals representing the environment. In this paper we propose a model of worm real-time detection according to Dentritic Cell＇ s function and effect. The experimental results showed that this model can real-timely detect the known worms and the unknown worms, and has advantages of high efficiency, small load and low rate of false.
出处
《计算机应用与软件》
CSCD
2010年第2期279-282,共4页
Computer Applications and Software
关键词
树突状细胞算法
蠕虫
危险理论
入侵检测
Dendriti
cell algorithm Internet worm Danger theory Intrusion detection
