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DOI: 10.14569/IJACSA.2021.0120754
PDF

ROI Image Encryption using YOLO and Chaotic Systems

Author 1: Sung Won Kang
Author 2: Un Sook Choi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 7, 2021.

  • Abstract and Keywords
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Abstract: In this paper, we design a cellular automata (CA)-based ROI (region of interest) image encryption system that can effectively reduce computational cost and maintain an appropriate level of security. The proposed image encryption system obtains a cryptographic image through three steps. First, a region of interest with high importance is extracted from the entire image using deep learning. We use the YOLO (You Only Look Once) algorithm to extract the ROI from a given original image. Next, the detected ROI is encrypted using the Chen system, a chaotic-based function with high security. Finally, the execution time is effectively reduced by encrypting the entire image using a hardware-friendly CA. The safety of the proposed encryption system is verified through various statistical experiment results and analyses.

Keywords: Image encryption; cellular automata; YOLO algorithm; deep learning; Chen system; region of interest

Sung Won Kang and Un Sook Choi, “ROI Image Encryption using YOLO and Chaotic Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 12(7), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120754

@article{Kang2021,
title = {ROI Image Encryption using YOLO and Chaotic Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120754},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120754},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {7},
author = {Sung Won Kang and Un Sook Choi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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