Enhancing medical image security with quantum DNA dual encryption

Area of Science:

• Information Security
• Quantum Computing
• Medical Imaging

Background:

• Healthcare data security is paramount, especially for sensitive medical images.
• Existing methods face challenges in protecting medical image data integrity and patient privacy.
• Advanced encryption techniques are needed to meet escalating security demands.

Purpose of the Study:

• To develop an innovative framework for enhanced security in medical image management and storage.
• To introduce a dual-encryption method combining DNA codec and Quantum Fibonacci Transform (QFBT) for quantum color images.
• To evaluate the effectiveness of the proposed Quantum Digital Image Encryption System (QDIES).

Main Methods:

• Converted standard color images to quantum data using Generalized Quantum Image Representation (GQIR).
• Employed a DNA codec for pixel-level diffusion and a QFBT for spatial data scrambling.
• Utilized quantum XOR functions with the transformed image as the key matrix.

Main Results:

• The encryption method demonstrated strong similarity in encrypted image histogram correlations and peak values.
• Achieved a mean Normalized Pixel Change Rate (NPCR) of 99.63% across RGB channels.
• Obtained a mean Uniform Average Change Intensity (UACI) of 33.43% and information entropy of approximately 7.9992.

Conclusions:

• The proposed chaos-based quantum encryption framework, QDIES, offers robust security for medical image data.
• The dual-encryption approach effectively enhances patient secrecy and data integrity.
• The findings validate the system's potential for secure healthcare information management.