| 基于数据挖掘技术的Snort检测系统模型 |
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| 引用本文： | 郎振红. 基于数据挖掘技术的Snort检测系统模型[J]. 长春理工大学学报(自然科学版), 2010, 33(1): 167-169,173. DOI: 10.3969/j.issn.1672-9870.2010.01.046 |
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| 作者姓名： | 郎振红 |
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| 作者单位： | 天津电子信息职业技术学院,天津,300132 |
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| 摘 要： | 针对网络入侵检测系统Snort的不足,提出了一种基于数据挖掘技术的二次检测系统模型。该模型是以Snort系统为基础,增加了异常检测挖掘模块、新规则形成模块、二次检验模块等,因此,该系统可以实现实时更新入侵行为规则库,提高系统的检测速度以及大幅地减低Snort系统的漏报率与误报率。
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| 关 键 词： | 数据挖掘 Snort系统 入侵检测 |
A System Model of Snort Detection Based on Data Mining Technonlogy |
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| LANG Zhenhong. A System Model of Snort Detection Based on Data Mining Technonlogy[J]. Journal of Changchun University of Science and Technology, 2010, 33(1): 167-169,173. DOI: 10.3969/j.issn.1672-9870.2010.01.046 |
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| Authors: | LANG Zhenhong |
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| Affiliation: | Tianjin electron information vocation technology college;Tianjin 300132 |
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| Abstract: | Because of Snort system having disadvantage,a system model of Snort quadratic detection based on data mining technonlogy is lodged. The model which is based upon Snort system adds mining model of exceptional detection,forming model of new regulation and quadratic detection model and so on. So the system is able to update regulation database of invading behavior in good time. In addition to,detective velocity is improved and leaking and distort ratio are largely diminished. |
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| Keywords: | data mining Snort system intrusion detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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