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

by   Yi Ding, et al.

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


page 1

page 5

page 6

page 9

page 12

page 14


DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things

Internet of Medical Things (IoMT) can connect many medical imaging equip...

Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis

We present a novel framework for explainable labeling and interpretation...

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder

The success of deep learning is partly attributed to the availability of...

Synthetic Medical Images from Dual Generative Adversarial Networks

Currently there is strong interest in data-driven approaches to medical ...

Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods

Machine learning (ML) models used in medical imaging diagnostics can be ...

Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing

Background and objective: Sharing of medical data is required to enable ...

MedLocker: A Transferable Adversarial Watermarking for Preventing Unauthorized Analysis of Medical Image Dataset

The collection of medical image datasets is a demanding and laborious pr...

Please sign up or login with your details

Forgot password? Click here to reset