基于改进动态克隆选择算法的入侵检测研究

The research of intrusion detection based on improved dynamic clonal selection algorithm

本文将生物免疫的思想引入到入侵检测研究中,提出一种改进的动态克隆选择算法,并基于改进动态克隆选择算法,构建了的入侵检测模型。该模型具多样性和自适应性,并且能够有效检测出未知攻击行为。实验结果表明:基于改进的算法,可降低入侵检测的误报率,提高检测准确率。

Based on biological Immune an improved dynamic clonal selection algorithm is proposed ,and a new intrusion detection model is established.The model has the advantage of diversity,self-adaptation and it’s ability of detecting the unknow attack behavior effectively. Simulation results indicate that the improved algorithm can obtain higher detection rate and lower false position rate.