Remote Sensing Image Encryption Algorithm Based on Chaotic System and DNA Sequence

Currently, the security of satellite remote sensing images is a research hotspot of information security, most of the image encryption algorithms are the whole image for encryption, but only a part of the data in a picture may be important, and encrypting the whole image is not only high complexity but also low efficiency. herefore, this paper proposes a selective encryption algorithm based on chaotic systems and DNA sequences, which encrypts only the important regions of an image. In this paper, we first use the improved deep learning target detection algorithm YOLOV8 to identify the region to be encrypted, and then design an encryption method for the region of interest (ROI) of remote sensing images by combining DNA coding, Logistic mapping and Chen system, and analyze the security. The results show that the algorithm has good encryption characteristics and strong anti-attack ability, and can be used for target detection image encryption.