
Robust Digital Image Encryption Approach Based on Extended Large-Scale Randomization Key-Stream Generator
Author(s) -
Raghad Zuhair Yousif,
Ayad Ghany Ismaeel
Publication year - 2022
Publication title -
mağallaẗ al-kitāb li-l-ʿulūm al-ṣirfaẗ
Language(s) - English
Resource type - Journals
eISSN - 2617-8141
pISSN - 2617-1260
DOI - 10.32441/kjps.02.02.p12
Subject(s) - shuffling , encryption , computer science , stream cipher , key (lock) , key generation , algorithm , keystream , randomness , bitstream , digital image , image (mathematics) , cryptography , theoretical computer science , image processing , mathematics , artificial intelligence , decoding methods , statistics , computer security , programming language , operating system
This paper presents a novel image encryption scheme based on extended largescalerandomization key-stream generator. The basic form of the key-stream generator ispresented, and employed in digital image ciphering. The modification of the basic form also, presented, and gives encouraging results in image encryption as compared with classical non-linear stream cipher generators and the basic form. Pixel shuffling is performed via vertical and horizontal permutation. Shuffling is used to expand diffusion in the image and dissipate high correlation among image pixels the sequences generated from all presented generators are introduced to five well-known statistical tests of randomness to judge their randomness characteristic. The ciphered images are tested for their residual intelligibility subjectively. The measures applied to images ciphered by one of the classical key-stream cipher generators (Threshold generator) for the purpose of comparison with the presented key-stream algorithms. Experiments results show that the proposed algorithm achieves the image security. In order to evaluate performance, the proposed algorithm was measured through a series of tests. Experimental results illustrate that the proposed scheme shows a good resistance against brute-force and statistical attacks