Novel self-adapting r continuous bits matching algorithm based on hormone concentration

doi:10.3778/j.issn.1002-8331.2009.23.029

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (23): 104-106.DOI: 10.3778/j.issn.1002-8331.2009.23.029

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Novel self-adapting r continuous bits matching algorithm based on hormone concentration

SHAO Guo-jin¹，JING Wei-na¹，WU Chun-ying²

1.Department of Computer Science，Henan Institute of Architecture and Technology，Pingdingshan，Henan 467001，China
2.The Chinese People’s Armed Police Forces Academy，Langfang，Hebei 065000，China

Received:2009-04-09 Revised:2009-06-12 Online:2009-08-11 Published:2009-08-11
Contact: SHAO Guo-jin

一种基于浓度调节的RCB算法

邵国金¹，景伟娜¹，吴春颖²

1.河南城建学院计算机科学与工程系，河南平顶山 467001
2.中国人民武装警察部队学院，河北廊坊 065000

通讯作者: 邵国金

Abstract

Abstract: The omission factor and fallout ratio of IPS are affected by matching algorithm，and dynamic matching algorithm of r-adjustable pay an import role in improving performance of IPS.The mechanism of endocrine system is analyzed，a dynamic balance model of hormone concentration is designed，and a dynamic matching algorithm based on hormone concentration is constructed.Simulation tests show that the matching algorithm given in this paper has advantages of good performance，and applying prospect.

Key words: hormone, concentration adjusting, Intrusion Prevention System（IPS）, RCB matching algorithm

摘要： 决定入侵防御系统漏检率和误检率的关键要素是模式匹配算法，改进r连续位匹配算法可以提高入侵检测系统的性能。受生物内分泌系统通过激素浓度调节适应内外环境机制的启发，设计了人工激素浓度的动态平衡模型，构造了一种基于浓度调节的RCB算法。实验数据表明，该算法能够根据网络状态变化，自适应地调整匹配参数，具有较好的应用价值。

关键词: 激素, 浓度调节, 入侵防御系统, r连续位匹配算法

CLC Number:

TP18

SHAO Guo-jin¹，JING Wei-na¹，WU Chun-ying². Novel self-adapting r continuous bits matching algorithm based on hormone concentration[J]. Computer Engineering and Applications, 2009, 45(23): 104-106.

邵国金¹，景伟娜¹，吴春颖². 一种基于浓度调节的RCB算法
[J]. 计算机工程与应用, 2009, 45(23): 104-106.

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Novel self-adapting r continuous bits matching algorithm based on hormone concentration

一种基于浓度调节的RCB算法

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