Performance analysis of gray code number system in image security

Author:

Babatunde Akinbowale Nathaniel1,Jimoh Ebunayo Rachael2,Oshodi Oladipupo1,Alabi Olujuwon Ayoseyi3

Affiliation:

1. Department of Computer Science, College of Communication and Information Technology, Kwara State University

2. Department of Physical and Mathematical Sciences, Faculty of Science, Crown Hill University

3. Department of Computer Science, Abo Akademi University

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.

Funder

Kwara State University, Nigeria

Publisher

Institute of Research and Community Services Diponegoro University (LPPM UNDIP)

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhanced image security using residue number system and new Arnold transform;Jurnal Teknologi dan Sistem Komputer;2021-07-18

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