Abstract
Information security is one of the most important issues in the information transfer discussion, which prevents intruders from invading privacy and valuable data of the organization. Nowadays, information security is essential in Internet communications, multimedia systems, medical imaging, and communications areas. Encryption is one of the most powerful tools that ensures information security in the communication and information technology field. Meanwhile, image encryption is different from other data encryptions. This difference is due to the inherent characteristics of the images such as a high volume and a high correlation between pixels. Feature results in encryption methods such as AES and DES are less practical for images. Recent attempts have been made to encrypt images based on chaos. Unique characteristics of chaotic such as sensitivity to initial conditions, non-periodicity, lack of convergence, and control of parameters have led to its use. In this paper, we propose a new chaotic-based two-step encryption architecture for secure and effective privacy image encryption combined with EGPIECLMAC system. This algorithm uses a combination of chaotic logistics and Arnold’s Cat mapping. Standard evaluations of the encrypted and decoded privacy image with EGPIECLMAC system and their comparison with similar algorithms confirm the proposed algorithm’s quality and superiority. The data and results are publicly available at https://github.com/delavarzareai/myfiles.
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The data and results are publicly available at https://github.com/delavarzareai/myfiles.
Notes
The data that support the findings of this study are openly available at http://Github.com/delavarzareai/myfiles.
Number of Pixels Change Rate.
Unified Averaged Changed Intensity.
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Zareai, D., Balafar, M. & FeiziDerakhshi, M. EGPIECLMAC: efficient grayscale privacy image encryption with chaos logistics maps and Arnold Cat. Evolving Systems 14, 993–1023 (2023). https://doi.org/10.1007/s12530-022-09482-w
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DOI: https://doi.org/10.1007/s12530-022-09482-w