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提出在危险模式入侵检测系统中使用利用多层支撑矢量机分类算法对免疫克隆算法对原始数据的行为特征集进行优化获得的最优抗体集合,可以大大缩短危险模式入侵检测系统抗体模式库的训练时间。
The optimal antibody set obtained by optimizing the behavioral feature set of the original data by the immune clone algorithm using the multi-layer support vector machine classification algorithm in the hazard mode intrusion detection system can greatly shorten the training of the hazard pattern intrusion detection system antibody pattern library time.