Research on intrusion detection systems based on Levenberg-Marquardt algorithm

被引：3

作者：

Ling, Ming-Qing ^{[1
]}

Liu, Wei-Wei ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China

来源：

PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年

关键词：

information security; intrusion detection; neural network; LM algorithm;

D O I：

10.1109/ICMLC.2008.4621045

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Intrusion detection system is a hot spot in the researching domain of information security. The paper puts forward an intrusion detection model called LMBP. Firstly the paper does a research on different optimal algorithms of BP (Back Propagation) networks and then combines improved BP algorithm with Levenberg-Marquardt algorithm to device LMBP. Based on this model the LM-HIDS intrusion detection system is established. The result of the experiment shows that it is an efficient way to detect host intrusion by applying Levenberg-Marquardt algorithm to optimize BP network.

引用

页码：3684 / 3688

页数：5

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