A Multiplicative-Additive Chaotic-Address Steganography

Author:

Alwan Haneen,Hussain Zahir

Abstract

In this study, Multiple-Chaotic maps were merged by using multiplicative-additive form to generate the chaotic sequences which are used to track the addresses of shuffled bits in steganography. Three techniques are introduced for image steganography in the spatial domain. The first system is based on the well-known LSB technique, the second system is based on looking for the identical bits between the secret message and the cover image and the third system is based on the concept of LSB substitution, it is employed the mapping of secret data bits with cover pixel bits. It was tested and evaluated security levels for the proposed techniques by using the Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), histogram analysis and correlative analysis and tested the Chaotic sequences generated by using correlation, Lypaunov exponents, Poincaré section and 0-1Test. The results show that the proposed methods perform better than existed systems.

Publisher

University of Kufa

Subject

General Medicine

Reference14 articles.

1. S. S. A. K. Singh and S. P. Ghrera, "A Recent Survey On Data Hiding Techniques," International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), 2017.

2. A. Sharif, M. Mollaeefar and M. Nazari, "A novel method for digital image steganography based on a new three-dimensional chaotic map," Springer Science,Business Media New York, 2016.

3. A. Rasmi and M. Mohanapriya, "An Extensiv Survey of Data Hiding Techniques," European Journal of Applied Sciences 9 (3): 133-139, 2017 ISSN 2079-2077 © IDOSI Publications, 2017 DOI: 10.5829/idosi.ejas.2017.133.139, 2017.

4. O. N. Kadhim and Z. M. Hussain, "Information Hiding using Chaotic-Address Steganography," Journal of Computer Science, 2018.

5. H. Elkamchouchi, W. M. Salama and Y. Abouelseoud, "Data hiding in a digital cover image using chaotic maps and LSB technique,"12th International Conference on Computer Engineering and Systems (ICCES), 2017.

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