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Batch medical image encryption using 3D Latin cube-based simultaneous permutation and diffusion

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Abstract

Nowadays, numerous encryption schemes have been proposed in response to the growing concerns regarding the security of individuals’ health information in medical imaging. It is well known that in real-world hospital scenarios, medical equipment generates a batch of images at one time, and doctors utilize them to diagnose patients’ health conditions. Existing schemes have primarily focused on encrypting a single image; however, the lack of design for encrypting batch images leads to low flexibility in practical applications. To address this practical challenge, we propose a batch medical image encryption scheme. This scheme considers all the pixels in the batch images as a three-dimensional pixel cube and encrypts them using a Latin cube-based simultaneous permutation and diffusion technique to improve encryption efficiency. Through experimental results and security analysis, our scheme demonstrates strong key sensitivity and effectively resist various cryptographic attacks, such as brute-force attack, statistical attacks, and differential attack.

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Availability of data and materials

The codes are availability at https://github.com/TcSong/LatinCube-BatchImgEncryption. The datasets are available on request.

Notes

  1. https://www.kaggle.com/datasets/dasmehdixtr/ddti-thyroid-ultrasound-images

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Funding

This work was supported by the National Natural Science Foundation of China (Nos. 62171114 and 62032013), and the Fundamental Research Funds for the Central Universities (No. N2324004-12 and N2316010).

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Authors and Affiliations

  1. School of Computer Science and Engineering, Northeastern University, Shenyang, 110819, China

    Wei Song, Chong Fu, Zhaonan Lin & Yanfeng Zhang

  2. Engineering Research Center of Security Technology of Complex Network System, Ministry of Education, Shenyang, 110819, China

    Chong Fu

  3. Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110819, China

    Chong Fu

  4. School of Software, Dalian University of Technology, Dalian, 116621, China

    Junxin Chen

  5. School of Computer Science, The University of Auckland, Auckland, New Zealand

    Chiu-Wing Sham

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  1. Wei Song
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  2. Chong Fu
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  4. Yanfeng Zhang
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Correspondence to Wei Song or Chong Fu.

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Song, W., Fu, C., Lin, Z. et al. Batch medical image encryption using 3D Latin cube-based simultaneous permutation and diffusion. SIViP 18, 2499–2508 (2024). https://doi.org/10.1007/s11760-023-02925-0

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  • DOI: https://doi.org/10.1007/s11760-023-02925-0

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