A novel CFAR intrusion detection method using chaotic stochastic resonance

Author

He, Di ; Leung, Henry

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada

Volume

4

fYear

2004

fDate

23-26 May 2004

Abstract

A novel constant false alarm rate (CFAR) intrusion detection method based on chaotic stochastic resonance is proposed in this paper. The spectral power (SP) and signal-to-noise ratio (SNR) of the intrusion signal in a network can be improved through a chaotic stochastic resonance system, therefore enhancing the detectability of network attacks. The CFAR threshold is also derived here theoretically. Computer simulations based on standard DARPA network intrusion data show that the proposed approach is superior to other standard intrusion detection methods.

Keywords

alarm systems; chaos; digital simulation; probability; safety systems; signal detection; stochastic processes; CFAR intrusion detection; DARPA network intrusion data; SNR; chaotic stochastic resonance system; computer simulations; constant false alarm rate intrusion detection; detectability; intrusion signal; network attacks; signal-noise ratio; spectral power; Chaos; Computer simulation; Drives; Helium; Intrusion detection; Noise measurement; Stochastic resonance; Telecommunication traffic; Traffic control; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on

Print_ISBN

0-7803-8251-X

Type

conf

DOI

10.1109/ISCAS.2004.1329072

Filename

1329072