| 基于模糊C均值的数据流入侵检测算法 |
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| 引用本文： | 王春霞,侯艳丽.基于模糊C均值的数据流入侵检测算法[J].电子设计工程,2012,20(4):7-8,11. |
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| 作者姓名： | 王春霞 侯艳丽 |
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| 作者单位： | 商丘师范学院计算机与信息技术学院,河南商丘,476000 |
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| 基金项目： | 河南省科技厅科技攻关研究项目，河南省教育厅自然科学基金，河南省教育厅自然科学研究项目 |
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| 摘 要： | 针对数据在性态和类属方面存在不确定性的特点,提出一种基于模糊C均值聚类的数据流入侵检测算法,该算法首先利用增量聚类得到网络数据的概要信息和类数,然后利用模糊C均值聚类算法对获取的数据特征进行聚类。实验结果表明该算法可以有效检测数据流入侵。
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| 关 键 词： | 数据流 数据挖掘 入侵检测 聚类分析 模糊C均值聚类 |
Intrusion detection algorithm of data stream based on fuzzy C-means clustering |
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| WANG Chun-xia,HOU Yan-li.Intrusion detection algorithm of data stream based on fuzzy C-means clustering[J].Electronic Design Engineering,2012,20(4):7-8,11. |
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| Authors: | WANG Chun-xia HOU Yan-li |
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| Affiliation: | (Department of Computer and Information Technology,Shangqiu Teachers College,Shangqiu 476000,China) |
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| Abstract: | A two-phase intrusion detection algorithm based on fuzzy C-means clustering algorithm is studied.Firstly,the statistical information in data stream and the the number of clusters are gained by the incremental clustering.Secondly,the fuzzy C-means clustering algorithm is directly applied to the fuzzy clustering feature.At last,experiment is performed on the presented algorithm,and the experimental result shows that the presented algorithm can detect the intrusion behaviors effectively. |
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| Keywords: | data stream data mining intrusion detection cluster analysis fuzzy C-means clustering |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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