摘要
分析了将人工免疫原理应用到入侵检测系统中存在的不足,提出了一种基于模糊集和危险理论的免疫克隆选择算法,引入了模糊集合和隶属度的概念,有效地优化了检测元的特性,提高了基于人工免疫模型的入侵检测效率和自适应性。
After analyzing the inadequate occurring in the application of artificial immune theory to intrusion detection systems,this paper proposes an immune colon selective algorithm based on fuzzy-set and Danger Theory,introduces the concept of fuzzy-set and degree of membership,effectively optimizes the detectors’ characteristics,improves the detect efficiency and self-adaptability based on the artificial immune mode.
出处
《电脑知识与技术（过刊）》
2009年第3X期1969-1971,共3页
Computer Knowledge and Technology
关键词
入侵检测
人工免疫
克隆选择算法
模糊集合
危险理论
intrusion detection
artificial immune
colon selective algorithm
fuzzy-set
dangertheory
