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-to-end security in medical image encryption. This approach not only strengthens the privacy and security of medical data but also provides a user-friendly framework for securely transmitting and storing sensitive medical images.