摘要
根据人工免疫原理,采用阴性选择算法和r-连续位匹配算法,建立了一个新的入侵检测模型,该模型具有智能化入侵检测系统所要求的自组织、自学习、自适应等特点。研究表明,该模型可有效提高入侵检测系统的检测率,降低其误警率。
According to the artificial immune theorem, a new IDS model based on negative select algorithm and r-bit sequence match algorithm is established, It has the properties of self-organizing, self-learning, self-adaptation and so on, The research indicates that this model can improve the detection rate of IDS effectively and reduce the probability of false positive alerts.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第2期258-260,共3页
Computer Applications and Software
关键词
人工免疫
免疫算法
抗体
抗原
Artificial immune
Immune algorithm
Antibody
Antigen
