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.

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}
}