Evaluating image encryption algorithms for the hyperchaotic system and fibonacci q-matrix, secure internet of things, and advanced encryption standard

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.265862

Keywords:

Fibonacci Q-matrix in hyperchaotic, secure internet of things, AES

Abstract

In the era of information technology, users had to send millions of images back and forth daily. It's crucial to secure these photos. It is important to secure image content using digital image encryption. Using secret keys, digital images are transformed into noisy images in image encryption techniques, and the same keys are needed to restore the images to their original form. The majority of image encryption methods rely on two processes: confusion and diffusion. However, previous studies didn’t compare recent techniques in the image encryption field.This research presents an evaluation of three types of image encryption algorithms includinga Fibonacci Q-matrix in hyperchaotic, Secure Internet of Things (SIT), and AES techniques. The Fibonacci Q-matrix in the hyperchaotic technique makes use of a six-dimension hyperchaotic system's randomly generated numbers and confuses the original image to dilute the permuted image. The objectives here areto analyze the image encryption process for the Fibonacci Q-matrix in hyperchaotic, Secure Internet of Things (SIT), and Advanced Encryption Standard (AES), and compare their encryption robustness. The discussed image encryption techniques were examined through histograms, entropy, Unified Average Changing Intensity (UACI), Number of Pixels Change Rate (NPCR), and correlation coefficients. Since the values of the Chi-squared test were less than (293) for the Hyperchaotic System & Fibonacci Q-matrix method, this indicates that this technique has a uniform distribution and is more efficient. The obtained results provide important confirmation that the image encryption using Fibonacci Q-matrix in hyperchaotic algorithm performed better than both the AES and SIT based on the image values of UACI and NPCR.

Author Biographies

Sabreen Ali Hussein, University of Babylon

Master of Computer Science

Department of Mathematics and Computer

College of Basic Education

Aseel Hamoud Hamza, University of Babylon

Masterof Computer Science

College of Law

Suhad Al-Shoukry, AL- Furat Al-Awsat Technical University

Lecturer of Communication Engineering

Department of Computer system Techniques

AL-Najaf Technical Institute

Musaddak Maher Abdul Zahra, Al-Mustaqbal University College

PhD student

Department of Computer Techniques Engineering

Ali Saleem Abu Nouwar, Faculty of Technical Engineering Mesallata

MSc Electrical and Electronics Engineering

Sarah Ali Abdulkareem, Al-Turath University College

Master in Computer Science

Department of Computer Science

Mohammed Hasan Ali, Imam Ja’afar Al-Sadiq University

Master in Computer Science

Computer Techniques Engineering Department

Faculty of Information Technology

Mustafa Musa Jaber, Dijlah University College

Computer Techniques Engineering Department

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Evaluating image encryption algorithms for the hyperchaotic system and fibonacci q-matrix, secure internet of things, and advanced encryption standard

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Published

2022-10-30

How to Cite

Hussein, S. A., Hamza, A. H., Al-Shoukry, S., Zahra, M. M. A., Nouwar, A. S. A., Abdulkareem, S. A., Ali, M. H., & Jaber, M. M. (2022). Evaluating image encryption algorithms for the hyperchaotic system and fibonacci q-matrix, secure internet of things, and advanced encryption standard. Eastern-European Journal of Enterprise Technologies, 5(2(119), 21–30. https://doi.org/10.15587/1729-4061.2022.265862

Issue

Vol. 5 No. 2(119) (2022): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2022 Sabreen Ali Hussein, Aseel Hamoud Hamza, Suhad Al-Shoukry, Musaddak Maher Abdul Zahra, Ali Saleem Abu Nouwar, Sarah Ali Abdulkareem, Mohammed Hasan Ali, Mustafa Musa Jaber

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