节点文献
一种改进的动态克隆选择免疫算法在入侵检测中的应用研究
The Research for an Improved Dynamic Clonal Selection Algorithm Applied to Intrusion Detection
【摘要】 给出自体、非自体、抗原、抗体、免疫细胞的定义,改进亲和力计算公式,提出可控变异和随机变异方法并以此改进动态克隆选择算法。设计并实现基于该改进免疫算法的入侵检测系统(IDS)模型,仿真实验表明,改进后的算法有效提高入侵检测系统的自适应性。
【Abstract】 Sets of self,non-self,antigen,antibody and immune cell are defined.Method of the appetency calculation is improved.An idiographic dynamic clonal selection algorithm is put forward based on controllable-aberrance and random-aberrance.An intrusion detection system(IDS) model based on the idiographic immune algorithm is designed and realized.Emulative experiment shows that the idiographic immune algorithm is effective in improving the self-adaptability of IDS.
【关键词】 动态克隆选择算法;
入侵检测;
人工免疫;
亲和力;
【Key words】 dynamic clonal selection algorithm; intrusion detection; artificial immune; appetency;
【Key words】 dynamic clonal selection algorithm; intrusion detection; artificial immune; appetency;
【基金】 国家自然科学基金(60373110);教育部博士点基金资助项目(20030610003)
- 【文献出处】 空军工程大学学报(自然科学版) ,Journal of Air Force Engineering University(Natural Science Edition) , 编辑部邮箱 ,2006年03期
- 【分类号】TP393.08
- 【被引频次】32
- 【下载频次】231