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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Lin, S. L., & Tung, P. C. (2007). Application of modified ICA to secure communications in chaotic systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4707 LNCS, pp. 431–444). Springer Verlag. https://doi.org/10.1007/978-3-540-74484-9_38
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