A Novel Medical Image Encryption Scheme Based On AI Feature Encoding And Decoding

Abstract

Medical image encryption is critical to
safeguarding patient privacy and maintaining the
confidentiality of sensitive medical records.
Leveraging advancements in artificial intelligence,
we propose an innovative medical image
encryption and decryption system that integrates
deep learning-based encryption with QR code
technology. This system enables users to upload a
medical image, which is encrypted into a QR code
format and paired with a uniquely generated key.
Both the QR code and key are securely stored for
subsequent retrieval decryption, users can upload
the QR code and the corresponding key to
reconstruct the original image with high fidelity.
The encryption process employs advanced neural
network-based feature encoding, ensuring
robustness against attacks such as noise, cropping,
and brute force. Additionally, the system
incorporates a reversible neural network to
optimize decryption accuracy and reconstruction
quality. Experimental results highlight the
system's efficiency in preserving image integrity,
resisting various attacks, and maintaining end-toend
security in medical image encryption. This
approach not only strengthens the privacy and
security of medical data but also provides a userfriendly
framework for securely transmitting and
storing sensitive medical images.