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A new algorithm for multiple medical image encryption based on stacked representation and block division.

Yousef S Alsahafi1, Akram Y Sarhan2, Yasmin M Elnabawy3

  • 1Department of IT, College of Computing and Information Technology, University of Jeddah, Khulis, Saudi Arabia. ysalsahafi@uj.edu.sa.

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|October 9, 2025
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Summary
This summary is machine-generated.

A new multi-image encryption (MIE) algorithm secures medical images using stack representation and block division. This method offers a robust and efficient solution for protecting sensitive patient data in big data environments.

Keywords:
Baker chaotic mapBlock divisionConfusion and diffusionMultiple medical image encryptionStacked images

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Area of Science:

  • Medical Imaging
  • Cybersecurity
  • Data Encryption

Background:

  • Medical imaging generates vast amounts of data daily, necessitating robust security measures.
  • Encryption is crucial for protecting sensitive medical image data during transmission and storage.
  • Multiple-image encryption offers advantages over single-image methods for enhanced security.

Purpose of the Study:

  • To propose a novel multi-medical image encryption (MIE) algorithm.
  • To enhance the security and efficiency of medical image data protection.
  • To address the challenges of securing large volumes of medical images in the big data era.

Main Methods:

  • A novel MIE algorithm utilizing stack representation and block division is introduced.
  • Medical images are preprocessed into a 3D cube, followed by block division.
  • Individual confusion and diffusion phases for each block are performed using keys from a Baker chaotic map, including swapping and XOR operations.

Main Results:

  • The proposed algorithm successfully encrypts stacked medical images into a fully encrypted cube.
  • Experimental results demonstrate the algorithm's scalability and effectiveness for both color and grayscale images.
  • The MIE algorithm shows robustness against various attacks, outperforming similar methods in speed and security.

Conclusions:

  • The novel MIE algorithm provides a secure and efficient approach for protecting medical image data.
  • The method is scalable and effective for diverse medical imaging applications.
  • This algorithm represents a promising advancement in securing sensitive medical information.