Model of Network Intrusion Detection System based on BP Algorithm

Author

Wang, Y. ; Huang, G.X. ; Peng, D.G.

Author_Institution

Inf. & Technol. Inst., East China Normal Univ., Shanghai

fYear

2006

fDate

24-26 May 2006

Firstpage

1

Lastpage

4

Abstract

Security has become an important issue for networks. Models of network intrusion detection system are important component of the issue. The research aims at the design and implementation of an intrusion detection system based on BP algorithm that can promptly detect attacks, no matter they are known or not. In this model, BP algorithm is used to learn about the normal users´ behavior and the abnormal users´ behavior. When the learning is over, a k-matching algorithm is given. The model is tested with the network traffic that contains both normal and abnormal data. In experiments, result proves the model is effective

Keywords

backpropagation; security of data; BP algorithm; attack detection; k-matching algorithm; network intrusion detection system; user behavior; Biological neural networks; Information security; Intrusion detection; Pattern recognition; Power system modeling; Power system security; Protocols; Speech analysis; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2006 1ST IEEE Conference on

Conference_Location

Singapore

Print_ISBN

0-7803-9513-1

Electronic_ISBN

0-7803-9514-X

Type

conf

DOI

10.1109/ICIEA.2006.257104

Filename

4025722