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Enhancing medical image security with quantum DNA dual encryption.

Saba Inam1, Shamsa Kanwal2, Rehana Amir1

  • 1Department of Mathematical Sciences, Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan.

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Summary
This summary is machine-generated.

This study introduces a novel chaos-based quantum encryption framework for secure medical image storage. The dual-encryption method enhances patient data protection using DNA encoding and the Quantum Fibonacci Transform.

Keywords:
DNA codecQuantum Fibonacci transformQuantum addersQuantum circuitsQuantum image encryptionSecurity analysis

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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.