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The need for medical image encryption is increasingly pronounced, for exampleto safeguard the privacy of the patients' medical imaging data. In this paper,a novel deep learning-based key generation network (DeepKeyGen) is proposed asa stream cipher generator to generate the private key, which can then be usedfor encrypting and decrypting of medical images. In DeepKeyGen, the generativeadversarial network (GAN) is adopted as the learning network to generate theprivate key. Furthermore, the transformation domain (that represents the"style" of the private key to be generated) is designed to guide the learningnetwork to realize the private key generation process. The goal of DeepKeyGenis to learn the mapping relationship of how to transfer the initial image tothe private key. We evaluate DeepKeyGen using three datasets, namely: theMontgomery County chest X-ray dataset, the Ultrasonic Brachial Plexus dataset,and the BraTS18 dataset. The evaluation findings and security analysis showthat the proposed key generation network can achieve a high-level security ingenerating the private key.

DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption