摘要： 建立了一种基于扩展动态克隆选择的入侵检测模型,将IP抗原化与未成熟免疫细胞、成熟免疫细胞、记忆免疫细胞进行匹配,不断学习记忆,检测出各种已知或未知攻击。在动态克隆中引入变异,提高了学习效率和检测效率。

关键词: 人工免疫, 入侵监测, 动态克隆, 网络安全

Abstract: This paper builds an intrusion detection model based on DynamiCS. It compares the IP data with immature cells, mature cells and memory cells. By the method of continuous learning, it forms memory and detects known and unknown attacks. Because of bringing mutation into DynamiCS, the efficiencies of learning and detection are improved.

中图分类号: 

• TP393.08