Digital Speech Files Encryption based on Hénon and Gingerbread Chaotic Maps

Authors

  • Nidaa Flaih Hassan Department of Computer Science, University of Technology, Iraq
  • Ayad Al-Adhami Department of Computer Science, University of Technology, Iraq
  • Mohammed Salih Mahdi BIT Department, Business Information College, University of Information Technology and Communications, Iraq

DOI:

https://doi.org/10.24996/ijs.2022.63.2.36

Keywords:

Speech Encryption, Secure Communication, Chaotic Map, Permutation

Abstract

Speech encryption approaches are used to prevent eavesdropping, tracking, and other security concerns in speech communication. In this paper, a new cryptography algorithm is proposed to encrypt digital speech files. Initially, the digital speech files are rearranged as a cubic model with six sides to scatter speech data. Furthermore, each side is encrypted by random keys that are created by using two chaotic maps (Hénon and Gingerbread chaotic maps). Encryption for each side of the cube is achieved, using the based map vector that is generated randomly by using a simple random function. Map vector that consists of six bits, each bit refers to one of the specific chaotic maps that generate a random key to encrypt each face of the cube. Results show that the pseudo-random keys created by using chaotic maps for cryptographic speech file have an acceptable characteristic concerning randomness tests, which is confirmed in this paper by using five statistical tests. The final evaluation of the speech encryption algorithm is measured by using different quality metrics, and the results show that the algorithm can achieve resist encryption.

Downloads

Download data is not yet available.

Downloads

Published

2022-02-27

Issue

Section

Computer Science

How to Cite

Digital Speech Files Encryption based on Hénon and Gingerbread Chaotic Maps. (2022). Iraqi Journal of Science, 63(2), 830-842. https://doi.org/10.24996/ijs.2022.63.2.36

Similar Articles

11-20 of 354

You may also start an advanced similarity search for this article.