Research on intrusion detection systems based on Levenberg-Marquardt algorithm

Author

Ling, Ming-qing ; Liu, Wei-wei

Author_Institution

Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing

Volume

7

fYear

2008

fDate

12-15 July 2008

Firstpage

3684

Lastpage

3688

Abstract

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.

Keywords

backpropagation; security of data; Levenberg-Marquardt algorithm; backpropagation networks; information security; intrusion detection systems; Cybernetics; Databases; Hardware; Information security; Information technology; Intrusion detection; Machine learning; Machine learning algorithms; Military computing; Polynomials; Information security; Intrusion detection; LM algorithm; Neural Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4621045

Filename

4621045