Speech Scrambling Based on Arnold-Lucas Mapping

Abstract

In the increasing needed for security of communication and transmitted media and the development of communication system which surely transmits the data via the unsecured channel, many approaches appear to attempt to maintain the secret information generally and speech information specially. From this approach that is the most recently the chaotic maps that provide the perfect way for the security of data, and is used widely in speech scrambling. The chaotic maps used successfully for encryption of large-scale media such as video, audio, and image data because of its perfect properties as pseudo-randomness, sensitivity to parameters of the system and initial conditions and periodicity. In our proposed system we use a new combination of chaotic maps that depend on Arnold and Lucas maps, Arnold-Lucas map performs the scrambling process in a good way and give good results. The proposed system evaluated using SNR, PSNR, and correlation measures and the results of our proposed system were better compared with Arnold cat map and Fibonacci map.