Chaotic Random Number Generation using Gauss and Standard Chaotic Maps for Secured Audio and Speech Communication

Abstract

Due to development in advancement of modern technology high level of security threat emerge in digital communication and networking area.  Intruders are highly interested in eavesdropping of the personal and secret conversation over a public network or communication channel. To vanquish this problem many speech encryptions have been developed over past two decades. In this paper a novel speech encryption method using a hybrid chaotic map have been developed. Chirikov standard and Gauss chaotic maps are used to develop hybrid chaotic map. The output of the Gauss map is applied to Standard map as input variables to build highly non-predicable chaotic random numbers. This method has been investigated using histogram analysis, spectrogram analysis, SNR analysis, Correlation test, and NSCR, UACI analysis to prove the robustness and decryption quality. This method is suitable for secured speech communication networks.