CAJ | 학술논문

人工免疫入侵检测是当前主流的入侵检测技术之一，而危险理论中树突状细胞入侵检测方法是人工免疫研究的最新成果。建立危险理论树突状细胞入侵检测模型的关键是要解决危险信号的定义和表示，文章在免疫危险理论和树突状细胞理论基础上，使用多分类器算法动态提取危险信号，设计MC-DCA入侵检测模型，以提高抗原提呈、抗体识别的效率；并使用KDD CUP 99常用网络入侵检测数据，对构建的MC-DCA入侵检测仿真模型和传统AIS模型、DT模型进行对比和仿真实验，实验结果表明MC-DCA有更好的入侵检测识别能力。
인공면역입침검측시당전주류적입침검측기술지일，이위험이론중수돌상세포입침검측방법시인공면역연구적최신성과。건립위험이론수돌상세포입침검측모형적관건시요해결위험신호적정의화표시，문장재면역위험이론화수돌상세포이론기출상，사용다분류기산법동태제취위험신호，설계MC-DCA입침검측모형，이제고항원제정、항체식별적효솔；병사용KDD CUP 99상용망락입침검측수거，대구건적MC-DCA입침검측방진모형화전통AIS모형、DT모형진행대비화방진실험，실험결과표명MC-DCA유경호적입침검측식별능력。
Artificial immune intrusion detection (AIID) is one of the current major technology on intru-sion detection ,and the dendritic cell algorithm(DCA) in danger theory is the latest results of the re-search of AIID .The key to establish the DCA intrusion detection model based on danger theory is to define and express danger signals .In this paper ,based on the immune danger theory and DCA ,a dy-namic danger signals extraction method using the multiple classifier (MC) algorithm is proposed and a MC-DCA intrusion detection model is designed ,so as to improve the efficiency of antigen presentation and antibody recognition .The network intrusion detection data commonly used by KDD CUP 99 is used for the simulation experiments on the proposed MC-DCA intrusion detection model and the tradi-tional AIS model and DT model .The result shows that the recognition ability of MC-DCA intrusion detection system based on danger theory is better .