| 基于粗糙集和信息熵的入侵检测特征选择方法研究 |
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| 引用本文： | 吴萍,姜懿庭. 基于粗糙集和信息熵的入侵检测特征选择方法研究[J]. 云南民族大学学报(自然科学版), 2011, 20(4): 292-295. DOI: 10.3969/j.issn.1672-8513.2011.04.014 |
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| 作者姓名： | 吴萍 姜懿庭 |
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| 作者单位： | 云南师范大学信息学院,云南昆明,650092 |
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| 摘 要： | 特征选择是从与应用有关的特征集合中选取出满足需要的重要性高的最小特征子集的过程,是入侵检测中的一项重要工作.针对现有的入侵检测系统存在的先验知识较少的问题,利用粗糙集中的知识表达系统来描述入侵检测特征集合,并通过计算各个特征的信息熵来确定其相对重要性,最终选择出精简的特征集合,简化了入侵检测训练集合,减少了检测时间并可以有效的提高入侵分类的准确性.
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| 关 键 词： | 特征选择 入侵检测 粗糙集 信息熵 |
Study of Intrusion Detection Feature Selection Based on Rough Set and Information Entropy |
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| WU Ping,JIANG Yi-ting. Study of Intrusion Detection Feature Selection Based on Rough Set and Information Entropy[J]. Journal of Yunnan Nationalities University:Natural Sciences Edition, 2011, 20(4): 292-295. DOI: 10.3969/j.issn.1672-8513.2011.04.014 |
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| Authors: | WU Ping JIANG Yi-ting |
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| Affiliation: | WU Ping,JIANG Yi-ting(School of Information,Yunnan Normal University,Kunming 650092,China) |
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| Abstract: | Feature selection is the removing process for the smallest feature subset satisfying the needs from the collection and application of selected characteristics related with great importance.It is important in the intrusion detection.For solving the problem of the existing intrusion detection system with less prior knowledge,the paper describes the intrusion detection feature set with the rough set knowledge representation system and determines the relative importance of each feature by calculating its inform... |
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| Keywords: | feature selection intrusion detection rough set information entropy |
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