Application of modified ICA to secure communications in chaotic systems

Authors:
Shih-Lin Lin;Pi-Cheng Tung
Affiliations:
The Department of Mechanical Engineering, The National Central University, Chung-Li, Taiwan;The Department of Mechanical Engineering, The National Central University, Chung-Li, Taiwan
Venue:
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Year:
2007

Citing 2
Cited 1

An information-maximization approach to blind separation and blind deconvolution

Neural Computation
Fixed-point neural independent component analysis algorithms on the orthogonal group

Future Generation Computer Systems

A combination of blind source separation and impulsive chaos synchronisation for encryption

International Journal of Autonomous and Adaptive Communications Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Along with the increasingly quick development of modern communication system technologies, secure communication has become increasingly important. We propose a new method for secure communication systems. Independent component analysis (ICA) is employed to retrieve the message signal encrypted by a mixture of Gaussian white noise and chaotic noise. Unlike the traditional chaotic synchronization method, this method does not require knowing the basic Gaussian white noise and chaotic noise variables. However, the signals separated by traditional ICA shows opposite phase and unequal amplitude. Our study proposed a modified ICA, which can calculate accurately the phase and amplitude. The results showed that modified ICA could effectively extract the original message signal.