| 一种改进的ART2算法及其在入侵检测中的应用 |
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| 引用本文： | 郭凌翔,郭 洪,陈周同.一种改进的ART2算法及其在入侵检测中的应用[J].福州大学学报(自然科学版),2010,38(5):669-672. |
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| 作者姓名： | 郭凌翔 郭 洪 陈周同 |
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| 作者单位： | 福州大学数学与计算机科学学院， 福建 福州 350108；福州大学工艺美术学院， 福建 厦门361005;福州大学数学与计算机科学学院， 福建 福州 350108;福州大学数学与计算机科学学院， 福建 福州 350108 |
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| 摘 要： | 根据入侵检测技术和自适应共振网络算法中ART2算法的特点,提出了一种改进的ART2算法,并将其应用于入侵检测中.在Linux平台下实现了改进模型,并且对入侵数据集进行检测,表明该算法可以有效检测出入侵.
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| 关 键 词： | 神经网络 自适应共振理论 入侵检测 ART2算法 |
An improved ART2 algorithm and its application in the intrusion detection |
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| GUO Ling-xiang,GUO Hong and CHEN Zhou-tong.An improved ART2 algorithm and its application in the intrusion detection[J].Journal of Fuzhou University(Natural Science Edition),2010,38(5):669-672. |
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| Authors: | GUO Ling-xiang GUO Hong and CHEN Zhou-tong |
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| Institution: | College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350108, China; College of Arts and Design, Fuzhou University, Xiamen, Fujian 361005, China;College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350108, China;;College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350108, China; |
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| Abstract: | According to the features of intrusion detection and the ART2 algorithm, one of the adaptive resonance theory, an improved ART2 algorithm is proposed in this paper. And the model is implemented in the platform of Linux. And it is testified that the improved algorithm could detect the intrusion effectively. |
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