摘要
通过对基于免疫原理的入侵检测相关技术的深入研究,提出了一个判断随机模式是否有漏洞的算法。对记忆检测器的冗余问题,借鉴免疫系统的变异原理,对记忆检测器集合进行了优化。在以上研究的基础上设计了一个新的入侵检测系统模型,模型中引入了检测器的亲和力成熟过程、记忆检测器变异以及非完全匹配规则,该模型具有分布性、自适应性以及轻负荷等优点。
Through the research on the intrusion detection technology based on immunological principles, an algorithm is presented to make sure whether a random pattern has a leak. The remember detector gather is optimized with the aberrance principle of immunology. Then a new intrusion detection model is designed. The affinity mutation, the aberrance of detector and the non-exact matching rules are applied to the model ,which has some virtues such as distribution, self-adaptability, light load, etc.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第3期254-256,共3页
Computer Applications and Software
关键词
免疫原理
入侵检测
检测器
漏洞
Immunological principles Intrusion detection Detector Leak
