文章基本信息

标题：Technique for Intrusion Detection based on Cutting-based Real-valued Negative Selection
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作者：Niu Ling ; Feng Gao Feng ; Ma Jing 等
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2015
卷号：9
期号：9
页码：95-104
DOI：10.14257/ijsia.2015.9.9.09
出版社：SERSC
摘要：A novel technique for intrusion detection based on cutting-based real-valued negative selection scheme is proposed in this paper. Different from the current typical techniques, the proposed one sets a much more strict and reasonable mechanism to generate and optimize the set of mutual detector. Concretely, firstly, the new generating detector must be necessary and it should not be detected by the current existing mutual ones. Besides, those detectors coinciding with the self-set will be cut and optimized into several qualified ones which have better detecting abilities. Experimental results demonstrate that the proposed technique has much higher detecting rates
关键词：intrusion detection; cutting-based; negative selection; detector