一种改进的动态克隆选择算法在木马检测中的应用

Application of an Improved Dynamic Clonal Selection Algorithm in Trojan Detection

传统的克隆选择算法在检测效率、实时性等问题上都有不足和缺陷。在传统克隆选择算法交叉变异过程之后再次进行阴性选择,以避免交叉变异时产生和自体匹配的新个体,防止自体免疫的发生。在变异时采取概率与亲和度大小成反比的机制,保证检测器充满多样性。引入循环补充机制,动态更新检测器,增强全局寻优能力。

The traditional clonal selection algorithm has defects on detection accuracy and real-time. Makes another negative selection after a crossover and mutation process of traditional clonal se- lection algorithm. This can avoid producing new individuals matching autologous, prevent the occurrence of autoimmune. After that, during the variation process, takes a mechanism in which probability is inversely proportional to the degree of affinity, to ensure the diversity of detector. And introduces an additional circulation mechanism to dynamically update detectors and en- hance the ability of global optimization.