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.
Highlights
The development of information and communication technology has brought many changes in our society
YOLO is composed of one neural network, so it predicts the bounding box surrounding the object and the class probability of which class the object belongs to with one calculation for the entire image
In the proposed encryption system, the initial value of the Chen system used to generate the key image in ROI image encryption is used as the key
Summary
The development of information and communication technology has brought many changes in our society. With the emergence of new communication technologies such as the IoT (Internet of Things) and big data, various types of information are efficiently and conveniently transmitted and applied in various ways. YOLO (You Only Look Once) proposed by Redmon et al [17] is a 1-stage detector suitable for real-time detection. YOLO is composed of one neural network, so it predicts the bounding box surrounding the object and the class probability of which class the object belongs to with one calculation for the entire image. 3) Detection accuracy is high even for new images not seen in the training stage. It is less accurate than the state-of-the-art object detection model. In this paper we use YOLO to extract the ROI of the original image in this paper
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