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在对常见的免疫算法原理进行分析的基础上,采用阴性选择算法和r-连续位匹配算法,提出一种改进的免疫检测机制,建立一个新的入侵检测模型。新的模型主要采取三点措施:改进候选检测集的生成规则;降低检测器冗余;引入协同检测机制等。在入侵识别阶段,采用基于编辑距离的匹配规则,提高了检测效率。试验仿真表明,该模型可有效提高入侵检测系统的检测率,降低误警率。
Based on the analysis of the common immune algorithm principles, this paper proposes a modified immune detection mechanism and a new intrusion detection model based on the negative selection algorithm and r-continuous bit matching algorithm. The new model mainly take three measures: to improve the candidate test set generation rules; reduce the detector redundancy; the introduction of collaborative detection mechanism. In the phase of intrusion identification, the matching rule based on edit distance is adopted to improve the detection efficiency. Experimental results show that the model can effectively improve the detection rate of intrusion detection system and reduce the false alarm rate.