A new model of intelligent hybrid network intrusion detection system

Author

Yu, Xuedou

Author_Institution

Dept. of Comput. Sci. & Technol., Dezhou Univ., Dezhou, China

fYear

2010

fDate

16-18 April 2010

Firstpage

386

Lastpage

389

Abstract

Intrusion detection is a dynamic security protection technology that can detect the internal and external network attacks. Now the shortcomings of the single detection system are that the false alarm rate and omission rate is relatively high and detection efficiency is relatively low. In this paper, a new type of intelligent hybrid detection system model is proposed after the comprehensive analysis of the advantages and disadvantages of each system, and we introduced several key module design and algorithm implementation. The model can be flexibly extended to meet different network environment, improve their detection performance and accuracy.

Keywords

computer network security; neural nets; dynamic security protection technology; false alarm rate; intelligent hybrid network intrusion detection system; neural networks; omission rate; Algorithm design and analysis; Biological neural networks; Computer networks; Computer security; Immune system; Information security; Intelligent networks; Intrusion detection; Neural networks; Pathology; Adaptive genetic algorithm; Immunoassay System; Three-layer BP network;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6775-4

Type

conf

DOI

10.1109/ICBBT.2010.5478935

Filename

5478935