[1]姜参,王大伟.一种改进蚁群聚类的入侵检测方法[J].计算机技术与发展,2013,(12):139-142.
　JIANG Shen,WANG Da-wei.An Improved Ant Colony Clustering Method for Intrusion Detection[J].,2013,(12):139-142.
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一种改进蚁群聚类的入侵检测方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年12期
页码:
139-142
栏目:
安全与防范
出版日期:
1900-01-01

文章信息/Info

Title:
An Improved Ant Colony Clustering Method for Intrusion Detection
文章编号:
1673-629X（2013）12-0139-04
作者:
姜参; 王大伟
渤海大学 管理学院
Author(s):
JIANG Shen; WANG Da-wei
关键词:
网络安全; 入侵检测; 数据挖掘; 蚁群聚类; 聚类分析
Keywords:
network safety; intrusion detection; data mining; ant colony clustering; cluster analysis
文献标志码:
A
摘要:
入侵检测是网络信息安全的一个重要方面。针对现有的入侵检测对各类攻击不全面以及在检测率低误检率高的缺点，文中提出了一种改进的蚁群聚类的入侵检测方法。该方法对蚁群聚类算法的收敛速度方面和易陷入局部最优问题进行了改进，在优化过程中引进K-means算法以及信息熵，从而使其能够对信息素的更新进行自动的调整，提高了聚类速度和效果。进而设计了网络入侵检测系统。实验结果表明，该方法不仅提高了检测率，而且降低了误检率，对于各大类攻击都能够进行精确的检测
Abstract:
Intrusion detection is an important aspect of the network information safety. For the disadvantage that the existing intrusion de-tection method is not comprehensive of various kinds of attack and has lower detection rate and the higher fault detection rate,an im-proved ant colony clustering method for intrusion detection is proposed. The convergence rate of ant colony cluster algorithm is improved. In the optimization process,the information entropy is introduced to prevent into local optimal,and thus the method can adjust automati-cally the pheromone updating and improve the clustering speed. And follow on,the intrusion detection system is designed. The experimen-tal results show that the method not only improves the detection rate,but reduces the fault detection rate,and can detect precisely the vari-ous kinds of attacks

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更新日期/Last Update: 1900-01-01