树突状细胞算法DCA(Dendritic Cell Algorithm)是人工免疫学理论中危险理论的最新研究成果,本文提出在危险模式入侵检测系统中使用利用改进的DCA算法对实时异常数据进行的检测,使用KDDCUP99常用的网络入侵检测数据对模型和其他入侵检测算法进行了测试,结果表明基于改进的DCA算法的检测模型降低了误报率,提高了系统的效率与性能。%Dendritic Cell Algorithm(DCA)is a latest research result of the dangerous theory in the artificial immune theory.This Paper presents a new model to apply improving DCA in the DT-IDS.Finally,using the KDDCUP99 data set to test,the results show that needs the model has lower false positive rate and faster processing speed.
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