Balkan Journal of Electrical and Computer Engineering

2147-284X 2147-284X

MUSA YILMAZ

10.17694/bajece.667740

Electrical Engineering

Elektrik Mühendisliği

Performance Comparison of ACM and GRP Methods for Image Permutation

https://orcid.org/0000-0001-9624-7400

Oğraş

Hidayet

BATMAN ÜNİVERSİTESİ

https://orcid.org/0000-0002-5249-7245

Fidan

Şehmus

BATMAN ÜNİVERSİTESİ

07 30 2020

8 3 235 241 12 30 2019 06 03 2020

2013

Balkan Journal of Electrical and Computer Engineering

Permutation and substitution processes of an image are most widely used in image encryption algorithms as they are thought to increase system security in cryptography. Permutation is the first process that all pixel positions in an image are shuffled in specific order or randomly in order to break strong correlation between pixels. Secondly, substitution is used to change pixel values by mixing a secret key in the permutated image. In an ordinary image, adjacent pixels have close values so they have strong correlation and this correlation needs to be broken effectively before encryption. The degree to which this process is performed, directly affects the overall system security. In this paper, performance evaluations for Group (GRP) and Arnold’s Cat Map (ACM) method are analyzed through some numerical results and their performances are compared to figure out which one is better. Experimental results consist of numerical and visual results determined in Matlab R2015a.

Image GRP Arnold’s Cat Map Confusion Logistic Map

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