| 基于线性表示的协同入侵检测模型 |
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| 引用本文： | 梅松青. 基于线性表示的协同入侵检测模型[J]. 电脑与微电子技术, 2013, 0(22): 12-15 |
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| 作者姓名： | 梅松青 |
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| 作者单位： | 广州医科大学信息管理与信息系统系,广州510182 |
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| 摘 要： | 针对现有入侵检测算法误报率较高和鲁棒性较差的问题,提出一种基于线性表示的协同入侵检测模型,按照网络协议产生3类基于K-均值聚类算法的检测代理,以协同的方式对其相应网络数据做出决策。实验对比结果表明,该协同模型具有较高的检测率和较低的误警率。
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| 关 键 词： | 入侵检测 线性表示 协同模型 检测率 |
Collaborative Intrusion Detection Mode Based on Linear Representation |
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| MEI Song-qing. Collaborative Intrusion Detection Mode Based on Linear Representation[J]. , 2013, 0(22): 12-15 |
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| Authors: | MEI Song-qing |
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| Affiliation: | MEI Song-qing;Department of Information Management and Information System, Guangzhou Medical University; |
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| Abstract: | For the problem of slow speed of traditional intrusion detection,presents collaborative intrusion detection mode based on linear representation. According to the network protocol, generates three detection agents based on K-means clustering algorithm, then makes decisions in a synergistic manner, the results of experimental comparison show that the collaborative model has a higher detection rate and low false alarm rate. |
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| Keywords: | Intrusion Detection Linear Representation Collaborative Model Detection Rate |
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