ROI Image Encryption using YOLO and Chaotic Systems

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.

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