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中文摘要：
针对基于免疫机制的入侵检测系统的单一形态检测器检测性能低下的问题,分析了二进制形态空间和实值形态空间各自的不足,借鉴免疫独特型网络理论和免疫危险理论的信号机制,提出了多形态检测算法,该算法使用二进制形态和实值形态两种检测器协同检测,通过协同信号判定事件是否异常.经实验表明,该多形态检测算法较单一形态检测算法在检测性能上有了极大的提高.
英文摘要：
To solve immunity-based intrusion detection systems＇ lower detection performence caused by their detectors＇ shape kinds of the binary and the real-valued, the defects of the two kinds of shape were analyzed, and a new multi- shape detection（MSD） algorithm was presented according to the idiotypic immune network theory and the signal mechanism in the immune danger theory. The MSD algorithm uses binary and real-valued detectors to monitor the events by collaborative signals. The experimental results show that the new detection algorithm can improve the de- tective performance of detectors.
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