Intrusion detection based on neighborhood rough sets

WANG Wen-li; HOU Li-min

doi:10.13873/j.1000-97872010.06.019

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Intrusion detection based on neighborhood rough sets

更新时间：2025-09-11

- Intrusion detection based on neighborhood rough sets
- Vol. 29, Issue 6, Pages: 36-38+41(2010)
- 作者机构：
  
  郑州铁路职业技术学院信息工程系
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872010.06.019
  CLC： TP393.08
- Published：2010
- 稿件说明：
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[1]王文莉,侯丽敏.基于邻域粗糙集的入侵检测[J].传感器与微系统,2010,29(06):36-38+41.

WANG Wen-li, HOU Li-min. Intrusion detection based on neighborhood rough sets[J]. 2010, 29(6): 36-38+41.
[1]王文莉,侯丽敏.基于邻域粗糙集的入侵检测[J].传感器与微系统,2010,29(06):36-38+41. DOI： 10.13873/j.1000-97872010.06.019.

WANG Wen-li, HOU Li-min. Intrusion detection based on neighborhood rough sets[J]. 2010, 29(6): 36-38+41. DOI： 10.13873/j.1000-97872010.06.019.

摘要

针对入侵检测系统存在的高漏报率和误报率

提出了一种基于邻域粗糙集的入侵检测方法。该方法在粗糙集理论的基础上引入邻域概念

这样便无需对数据进行离散化处理

可以减少信息损失。实验结果表明:该方法可选择出更为重要的属性组合

从而获得较高的检测率和较低的漏报率与误报率。

Abstract

Aimed at the high false negative and false alarm rate of intrusion detection system

a method of intrusion detection based on neighborhood rough sets is presented.The concept of neighborhood to the method is introduced on the basis of rough set theory.It is unnecessary for discretizing the data which reduce information loss.The result of the experiment shows that this method has high detection rate

low false negative and low false alarm rate

because more important attribute set is chosen.

关键词

Keywords

references

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基于粗糙集-支持向量机理论的过滤误报警方法 [J]. 肖云,韩崇昭,郑庆华,赵婷. 电子与信息学报 . 2007(12)

基于粗糙集理论的网络型入侵检测系统 [J]. 张红梅,王勇,王行愚. 计算机工程 . 2006(19)

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基于粗糙集理论的入侵检测新方法 [J]. 蔡忠闽,管晓宏,邵萍,彭勤科,孙国基. 计算机学报 . 2003(03)

Intrusion detection using rough set classification [J] . Lian-hua Zhang,Guan-hua Zhang,Lang Yu,Jie Zhang,Ying-cai Bai. Journal of Zhejiang University Science . 2004 (9)

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