Skip to main content
SpringerLink
Log in

An efficient and secure opto-cryptosystem for color medical images using 2D-SICM based fractional fourier transform

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Medical images contain sensitive information and are prone to various attacks during network transmission. Therefore, it is essential to develop a robust algorithm to ensure the safety of transmitting medical images. In this paper, we propose an efficient and secure color medical image encryption system utilizing the FRFT-DRPE optical transformation and 2D-SICM hyperchaos system. The encryption process in our system considers the specific characteristics of each channel in the HSI color model. First, the image is converted from RGB space to HSI space. Subsequently, different encryption methods are applied to the hue and saturation components, including S-box replacement, scrambling, and diffusion operations. For the intensity component, scrambling and FRFT-DRPE optical encryption operations are performed. Additionally, the order of 2D-FRFT serves as an additional key to enhance the security of the encryption system. Finally, the three channels are merged to complete the overall encryption process. Simulations and performance analysis have confirmed the high-security level of our algorithm. It effectively protects the privacy of medical images during transmission.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Data availability

The used datasets are openly available from http://sipi.usc.edu/database/ and the data used to support the findings of this study are available from the corresponding author on reasonable request.

References

  1. Liu H, Wang X, Zhao M, Niu Y (2022) Constructing strong s-box by the 2D chaotic map with application to irreversible parallel key expansion. Int J Bifurcation Chaos 32(11):2250163

    Article  MathSciNet  Google Scholar 

  2. Liu H, Kadir A, Xu C (2020) Cryptanalysis and constructing S-box based on chaotic map and backtracking. Appl Math Comput 376:125153

    MathSciNet  Google Scholar 

  3. Liu H, Liu J, Ma C (2023) Constructing dynamic strong S-Box using the 3D chaotic map and application to image encryption. Multimed Tools Applic 82(16):23899–23914

    Article  Google Scholar 

  4. Wang X, Wang Y, Zhu X, Luo C (2020) A novel chaotic algorithm for image encryption utilizing one-time pad based on pixel level and DNA level. Opt Lasers Eng 125:105851

    Article  Google Scholar 

  5. El-Shafai W, Khallaf F, El-Rabaie ESM, El-Samie FEA (2021) Robust medical image encryption based on DNA-chaos cryptosystem for secure telemedicine and healthcare applications. J Ambient Intell Humaniz Comput 12(10):9007–9035

    Article  Google Scholar 

  6. Liu H, Wen F, Kadir A (2019) Construction of a new 2D Chebyshev-Sine map and its application to color image encryption. Multimed Tools Applic 78(12):15997–16010

    Article  Google Scholar 

  7. Singh KN, Singh AK (2022) Towards integrating image encryption with compression: a survey. ACM Trans Multimed Comput Commun Appl 18(3):1–21

    Article  MathSciNet  Google Scholar 

  8. Liu W, Sun K, Zhu C (2016) A fast image encryption algorithm based on chaotic map. Opt Lasers Eng 84:26–36

    Article  Google Scholar 

  9. Cao C, Sun K, Liu W (2018) A novel bit-level image encryption algorithm based on 2D-LICM hyperchaotic map. Signal Process 143:122–133

    Article  Google Scholar 

  10. Huang H (2019) Novel scheme for image encryption combining 2d logistic-sine-cosine map and double random-phase encoding. IEEE Access 7:177988–177996

    Article  Google Scholar 

  11. Liu L, Jiang D, Wang X, Rong X, Zhang R (2021) 2d logistic-adjusted-chebyshev map for visual color image encryption. J Inf Secur Applic 60:102854

    Google Scholar 

  12. Zhu H, Zhao Y, Song Y (2019) 2D logistic-modulated-sine-coupling-logistic chaotic map for image encryption. IEEE Access 7:14081–14098

    Article  Google Scholar 

  13. Abd-El-Atty B, Iliyasu AM, Alanezi A, Abd El-latif AA (2021) Optical image encryption based on quantum walks. Opt Lasers Eng 138:106403

    Article  Google Scholar 

  14. Chen J, Zhu ZL, Fu C, Zhang LB, Zhang Y (2017) Information authentication using sparse representation of double random phase encoding in fractional Fourier transform domain. Optik 136:1–7

    Article  Google Scholar 

  15. Zhang D, Liao X, Yang B, Zhang Y (2018) A fast and efficient approach to color-image encryption based on compressive sensing and fractional Fourier transform. Multimed Tools Applic 77(2):2191–2208

    Article  Google Scholar 

  16. Elhosany HM, Hossin HE, Kazemian HB, Faragallah OS (2015) Chaotic encryption of images in the fractional Fourier transform domain using different modes of operation. SIViP 9(3):223–235

    Google Scholar 

  17. Chen M, Ma G, Tang C, Lei Z (2020) Generalized optical encryption framework based on Shearlets for medical image. Opt Lasers Eng 128:106026

    Article  Google Scholar 

  18. Zhou K, Fan J, Fan H, Li M (2020) Secure image encryption scheme using double random-phase encoding and compressed sensing. Opt Laser Technol 121:105769

    Article  Google Scholar 

  19. Zhang R, Xiao D (2022) Double image encryption scheme based on compressive sensing and double random phase encoding. Mathematics 10(8):1242

    Article  Google Scholar 

  20. Faragallah OS, El-sayed HS, Afifi A, El-Shafai W (2021) Efficient and secure opto-cryptosystem for color images using 2D logistic-based fractional Fourier transform. Opt Lasers Eng 137:106333

    Article  Google Scholar 

  21. Qasim IM, Mohammed EA (2023) Optical image encryption based on linear canonical transform with sparse representation. Optics Commun 533:129262

    Article  Google Scholar 

  22. Liang Y, Liu G, Zhou N, Wu J (2016) Color image encryption combining a reality-preserving fractional DCT with chaotic mapping in HSI space. Multimed Tools Applic 75(11):6605–6620

    Article  Google Scholar 

  23. Gong LH, He XT, Tan RC, Zhou ZH (2018) Single channel quantum color image encryption algorithm based on HSI model and quantum Fourier transform. Int J Theor Phys 57(1):59–73

    Article  Google Scholar 

  24. Lone MA, Qureshi S (2022) RGB image encryption based on symmetric keys using Arnold transform, 3D chaotic map and affine hill cipher. Optik 260:168880

    Article  Google Scholar 

  25. Zhou T, Shen J, Li X, Wang C, Tan H (2020) Logarithmic encryption scheme for cyber–physical systems employing Fibonacci Q-matrix. Futur Gener Comput Syst 108:1307–1313

    Article  Google Scholar 

  26. Nan SX, Feng XF, Wu YF, Zhang H (2022) Remote sensing image compression and encryption based on block compressive sensing and 2D-LCCCM. Nonlinear Dyn 108(3):2705–2729

    Article  Google Scholar 

  27. Xie HW, Zhang YZ, Zhang H, Li ZY (2023) Novel medical image cryptogram technology based on segmentation and DNA encoding. Multimed Tools Applic 82(18):27593–27613

    Article  Google Scholar 

  28. Tian P, Su R (2022) A novel virtual optical image encryption scheme created by combining chaotic S-Box with double random phase encoding. Sensors 22(14):5325

    Article  Google Scholar 

Download references

Funding

This research is supported by the Key R & D plan in Shanxi Province (Project No. 202102020101007), National Natural Science Foundation of China (Nos: 61702356), Natural Science Foundation of Shanxi Province (Nos: 20210302124050).

Author information

Authors and Affiliations

  1. College of Software, Taiyuan University of Technology, Jinzhong, 030600, China

    Rui-yun Chang & Xiu-fang Feng

  2. College of Information and Computer, Taiyuan University of Technology, Jinzhong, 030600, China

    Ze-hua Zhang & Hao Zhang

Authors
  1. Rui-yun Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiu-fang Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ze-hua Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hao Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hao Zhang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chang, Ry., Feng, Xf., Zhang, Zh. et al. An efficient and secure opto-cryptosystem for color medical images using 2D-SICM based fractional fourier transform. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-17821-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11042-023-17821-5

Keywords

Search

Navigation