沈阳工业大学学报2012，Vol.34Issue(3)：293-297,5.
终身学习的否定选择算法
Negative selection algorithm for life-long learning
摘要
Abstract
In order to solve the problem that the negative selection algorithm（NSA） only simulates the central tolerance process for human adaptive immune system,can＇t simulate the peripheral tolerance process,and has no capacity of life-long learning,the life-long learning negative selection algorithm（LNSA） was proposed.The learning process of LNSA simulates the maturation process of both central and peripheral tolerances suffered by lymphocyte,and the life-long learning is realized with the peripheral tolerance.Therefore,the capability of distinguishing self and nonself for antibodies gets enhanced.Compared with NSA and dendritic cell algorithm（DCA）,the LNSA can effectively reduce the detection false positive rate,and exhibits the high detection rate like NSA.关键词
人工免疫系统/恶意代码检测/否定选择算法/树突细胞算法/终身学习/适应性免疫/n元/I/O请求包Key words
artificial immune system/malware detection/negative selection algorithm/dentritic cell algorithm/life-long learning/adaptive immunity/n-gram/I/O request packet分类
信息技术与安全科学引用本文复制引用
张福勇,齐德昱,胡镜林..终身学习的否定选择算法[J].沈阳工业大学学报,2012,34(3):293-297,5.基金项目
国家技术创新基金资助项目 （）
粤港关键领域重点突破基金资助项目 （）
