Digital Chaotic Scrambling of Voice Based on Duffing Map

Author:

Mahdi Amina1,K. Jawad Ameer2,S. Hreshee Saad1

Affiliation:

1. Electrical Engineering Department, College of Engineering, University of Babylon, Babylon, Iraq

2. Computer Engineering Department, Islamic University College, Najaf -Iraq

Abstract

With the significant development in communication systems especially in the public channels through which our information travels, there are more increasing in the channels problems. The information security is the important one that should be enhanced. This paper presents a chaos-based speech scrambling system. Chaotic maps have been successfully used for large-scale data encryption such as image, audio and video data, due to their good properties such as pseudo-randomness, sensitivity to changes in initial conditions and system parameters and a periodicity. In this paper a security model based on chaotic system has been designed to be used to encrypt voice signal, chaotic duffing map used for digital Scrambling, each samples of the speech are divided into 8 bits. The simulation results show that the Cpestral Distance Measure (CD) in the proposed system is increased by (4.559) by comparing with the time domain scrambling which is about four times that gives from the analog scrambling. In addition, d<sub>lpc</sub> increased to (4.428) as comparing with time domain. The key space in this proposed is 11.8336*10<sup>64</sup>×range of parameters.

Publisher

Science Publishing Group

Reference24 articles.

1. R. Gnanajeyaraman, K. Prasadh, Dr. Ramar, “Audio Encryption Using Higher Dimensional Chaotic Map”, International Journal of Recent Trends in Engineering, Vol. 1, No. 2, PP. 103 -107, May 2009.

2. H. Bai-Lin, “Chaos”, World Scientic, Singapore Vol. I (1984) and Vol. II (1989).

3. Maher K. M. Al-Azawi, Jaafar Qassim Kadhim, “Speech Scrambling Employing Lorenz Fractional Order Chaotic System”, Journal of Engineering and Development, Vol. 17, No. 4, PP. 195-211, ISSN 1813- 7822, October 2013.

4. Q. H. Lin, F. L. Yin, T. M. Mei and H. Liang, (2006) “A Blind Source Separation Based Method for Speech Encryption”, IEEE Transaction on circuits and systems-I, Vol. 53, No. 6, pp. 1320–1328.

5. Hikmat N. Abdullah, Saad S. Hreshee, Ameer K. Jawad, "Design Of Efficient Noise Reduction Scheme For Secure Speech Masked By Chaotic Signals", Journal of American Science 2015; Vol. 11, Issue 7, pp. 49-55.

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