| 一种新的基于数据挖掘技术的异常入侵检测系统研究 |
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| 引用本文： | 曲萍.一种新的基于数据挖掘技术的异常入侵检测系统研究[J].电子技术应用,2010,36(8). |
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| 作者姓名： | 曲萍 |
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| 摘 要： | 为了解决异常入侵检测系统中出现的噪音数据信息干扰、不完整信息挖掘和进攻模式不断变化等问题,提出了一种新的基于数据挖掘技术的异常入侵检测系统模型。该模型通过数据挖掘技术、相似度检测、滑动窗口和动态更新规则库的方法,有效地解决了数据纯净难度问题,提高了检测效率,增加了信息检测的预警率,实现了对检测系统的实时更新。
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| 关 键 词： | 入侵检测 数据挖掘 滑动窗口 相似度检测 网络安全 |
A new exception intrusion detection system based on data mining |
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| QU Ping.A new exception intrusion detection system based on data mining[J].Application of Electronic Technique,2010,36(8). |
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| Authors: | QU Ping |
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| Abstract: | In order to solve the anomalies of intrusion detection system of noise interference,incomplete data information inference and attack mode changes,etc,this paper proposes a new exception intrusion detection system based on data mining model.Through the data mining technology,similarity detection,sliding window and dynamic update rules,this model effective method to solve the difficult problem,pure data to increase the detection efficiency,increase the detection rate of early warning information,realize the real-time updating detection system. |
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| Keywords: | intrusion detection data mining sliding window similarity detection network security |
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