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
收藏
页码：3684 / 3688
页数：5
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