Atmospheric Convection Model Based Digital Confidentiality Schemeopen access
- Authors
- Munir, Noor; Khan, Majid; Hazzazi, Mohammad Mazyad; Aljaedi, Amer; Jamal, Sajjad Shaukat; Hussain, Iqtadar
- Issue Date
- 1-Jan-2022
- Publisher
- TECH SCIENCE PRESS
- Keywords
- Lorenz atmospheric convection model; fractional logistic map; image encryption; S-box
- Citation
- CMC-COMPUTERS MATERIALS & CONTINUA, v.71, no.3, pp.4503 - 4522
- Journal Title
- CMC-COMPUTERS MATERIALS & CONTINUA
- Volume
- 71
- Number
- 3
- Start Page
- 4503
- End Page
- 4522
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88447
- DOI
- 10.32604/cmc.2022.021077
- ISSN
- 1546-2218
- Abstract
- Nonlinear dynamics is a fascinating area that is intensely affecting a wide range of different disciplines of science and technology globally. The combination of different innovative topics of information security and high-speed computing has added new visions into the behavior of complex nonlinear dynamical systems which uncovered amazing results even in the least difficult nonlinearmodels. The generation of complex actions froma very simple dynamical method has a strong relation with information security. The protection of digital content is one of the inescapable concerns of the digitally advanced world. Today, information plays an important role in everyday life and affects the surroundings rapidly. These digital contents consist of text, images, audio, and videos, respectively. Due to the vast usage of digital images in the number of social and web applications, its security is one of the biggest issues. In this work, we have offered an innovative image encryption technique based on present criteria of confusion and diffusion. The designed scheme comprises two major nonlinear dynamical systems. We have employed discrete fractional chaotic iterative maps to add confusion capability in our suggested algorithm and continuous chaotic Lorenz system. We have verified our offered scheme by using statistical analysis. The investigations under the statistical tests suggested that our proposed technique is quite reasonable for the security of digital data.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - ETC > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88447)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.