| 基于模糊集的免疫危险理论模型设计 |
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| 引用本文： | 符海东,李桂凤,袁细国.基于模糊集的免疫危险理论模型设计[J].计算机工程与设计,2008,29(22). |
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| 作者姓名： | 符海东 李桂凤 袁细国 |
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| 作者单位： | 武汉科技大学,计算机科学与技术学院,湖北,武汉,430065 |
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| 基金项目： | 湖北省教育厅重点科研基金项目 |
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| 摘 要： | 提出了一种新的基于模糊集合的免疫危险理论模型,该模型在"危险"定义的基础上,引入模糊集合和隶属度的概念,对危险程度进行计算并分类,使机体感知危险的同时也能依据不同的危险程度做出相应的处理,从而提高系统对"危险"的识别效率,有效地改善了基于免疫的入侵检测系统的准确率,降低了误警率.
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| 关 键 词： | 人工免疫 危险理论 模糊集合 入侵检测 隶属度 |
Design of immune-inspired danger theory model based on fuzzy-set |
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| FU Hai-dong,LI Gui-feng,YUAN Xi-guo.Design of immune-inspired danger theory model based on fuzzy-set[J].Computer Engineering and Design,2008,29(22). |
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| Authors: | FU Hai-dong LI Gui-feng YUAN Xi-guo |
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| Affiliation: | FU Hai-dong,LI Gui-feng,YUAN Xi-guo(College of Computer Science , Technology,Wuhan University of Science , Technology,Wuhan 430065,China) |
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| Abstract: | An immune-inspired danger theory model based on fuzzy-set is proposed,and the concept of fuzzy set and degree of mem-bership in the foundation of the danger definition in artificial immune system is introduced by the proposed model.By carrying on the computation to the degree of danger,it makes the organism to apperceive the danger and simultaneously to make a high effect to the strategy.The organism is improved to recognize the danger effectively,and then the rate of intrusion detection is enhanced based o... |
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| Keywords: | artificial immune danger theory fuzzy set intrusion detection degree of membership |
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