树突细胞在入侵检测中的应用研究

Application of Dendritic Cells in Intrusion Detection

提出了一种基于危险理论的网络攻击入侵检测算法.该算法强调了树突细胞(Dendritic Cells)在人工免疫中的重要作用,描述了在入侵检测过程中,DCs的不同状态的转换和对信息的处理过程,以及和T细胞的交互.最后同几种经典的AIS算法进行比较,仿真结果显示在网络攻击入侵的检测效率和误报率上都有较大的改善.

An Algorithm in Danger Theory field for intrusion detection is presented.The algorithm Stresses the important role of dendritic cells in artificial immunity and describes the conversion of the different states of DCs and the processing of information in intrusion detection and the interaction of T cells.Finally,we compared its detection method with classic AIS methods.These results show considerable improvements in terms of detection performance and false alarm rates.