Performance analysis of gray code number system in image security

*Akinbowale Nathaniel Babatunde  -  Department of Computer Science, College of Communication and Information Technology, Kwara State University, Nigeria
Ebunayo Rachael Jimoh  -  Department of Physical and Mathematical Sciences, Faculty of Science, Crown Hill University, Nigeria
Oladipupo Oshodi  -  Department of Computer Science, College of Communication and Information Technology, Kwara State University, Nigeria
Olujuwon Ayoseyi Alabi  -  Department of Computer Science, Abo Akademi University, Finland
Received: 16 Feb 2019; Revised: 20 Aug 2019; Accepted: 5 Sep 2019; Published: 31 Oct 2019; Available online: 3 Oct 2019.
Open Access Copyright (c) 2019 Jurnal Teknologi dan Sistem Komputer
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Article Info
Section: Articles
Language: EN
In Volume 7, Issue 4, Year 2019 (October 2019)
Statistics: 206 71
Abstract
The encryption of digital images has become essential since it is vulnerable to interception while being transmitted or stored. A new image encryption algorithm to address the security challenges of traditional image encryption algorithms is presented in this research. The proposed scheme transforms the pixel information of an original image by taking into consideration the pixel location such that two neighboring pixels are processed via two separate algorithms. The proposed scheme utilized the Gray code number system. The experimental results and comparison shows the encrypted images were different from the original images. Also, pixel histogram revealed that the distribution of the plain images and their decrypted images have the same pixel histogram distributions, which means that there is a high correlation between the original images and decrypted images. The scheme also offers strong resistance to statistical attacks.
Keywords
Gray code number system; spatial domain; image encryption

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