Skip to main content

A New Medical Image Encryption Algorithm for IoMT Applications

  • Conference paper
  • First Online:
Pattern Recognition and Artificial Intelligence (MedPRAI 2021)

Abstract

Data security and privacy are essential for transmitting, storing, and preserving medical images. This article provides a secure chaotic framework for medical image encryption. The suggested technique has two stages: bit-level permutation and 2D SIM-based diffusion. The lossless technique is recommended for medical image encryption and decryption. It addresses the limitations of low-dimensional chaotic maps, such as small intervals and few parameters, and medical images’ unique texture and form. The keyspace of the new method is sufficiently big, and the encryption and decryption procedures are key-sensitive. Simulations and testing validate the new algorithm’s effectiveness and efficiency. According to security assessments, the algorithm is resistant to common attacks. A comparison of several encryption methods is performed. The proposed encryption method surpasses current encryption techniques when it comes to encrypting medical images.

Supported by City University, Petaling Jaya, MALAYSIA.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alanezi, A., et al.: Securing digital images through simple permutation-substitution mechanism in cloud-based smart city environment. Secur. Commun. Netw. 2021 (2021). https://doi.org/10.1155/2021/6615512

  2. Belazi, A., Talha, M., Kharbech, S., Xiang, W.: Novel medical image encryption scheme based on chaos and dna encoding. IEEE Access 7, 36667–36681 (2019). https://doi.org/10.1109/access.2019.2906292

    Article  Google Scholar 

  3. Cao, W., Zhou, Y., Chen, C.P., Xia, L.: Medical image encryption using edge maps. Signal Process. 132, 96–109 (2017). https://doi.org/10.1016/j.sigpro.2016.10.003

    Article  Google Scholar 

  4. Chen, J., Chen, L., Zhang, L.Y., Zhu, Z.: Medical image cipher using hierarchical diffusion and non-sequential encryption. Nonlinear Dyn. 96(1), 301–322 (2019). https://doi.org/10.1007/s11071-019-04791-3

    Article  Google Scholar 

  5. Chen, M., Ma, G., Tang, C., Lei, Z.: Generalized optical encryption framework based on shearlets for medical image. Opt. Lasers Eng. 128, 106026 (2020). https://doi.org/10.1016/j.optlaseng.2020.106026

  6. El-Latif, A.A.A., Abd-El-Atty, B., Belazi, A., Iliyasu, A.M.: Efficient chaos-based substitution-box and its application to image encryption. Electronics 10(12), 1392 (2021)

    Google Scholar 

  7. Gafsi, M., Abbassi, N., Hajjaji, M.A., Malek, J., Mtibaa, A.: Improved chaos-based cryptosystem for medical image encryption and decryption. Sci. Program. 2020 (2020). https://doi.org/10.1155/2020/6612390

  8. Hafsa, A., Gafsi, M., Malek, J., Machhout, M.: Fpga implementation of improved security approach for medical image encryption and decryption. Sci. Program. 2021 (2021). https://doi.org/10.1155/2021/6610655

  9. He, P., Sun, K., Zhu, C.: A novel image encryption algorithm based on the delayed maps and permutation-confusion-diffusion architecture. Secur. Commun. Netw. 2021 (2021). https://doi.org/10.1155/2021/6679288

  10. Hua, Z., Yi, S., Zhou, Y.: Medical image encryption using high-speed scrambling and pixel adaptive diffusion. Signal Process. 144, 134–144 (2018). https://doi.org/10.1016/j.sigpro.2017.10.004

    Article  Google Scholar 

  11. Joyia, G.J., Liaqat, R.M., Farooq, A., Rehman, S.: Internet of medical things (iomt): Applications, benefits and future challenges in healthcare domain. J. Commun. 12(4), 240–247 (2017)

    Google Scholar 

  12. Ke, G., Wang, H., Zhou, S., Zhang, H.: Encryption of medical image with most significant bit and high capacity in piecewise linear chaos graphics. Measurement 135, 385–391 (2019). https://doi.org/10.1016/j.measurement.2018.11.074

    Article  Google Scholar 

  13. Koutras, D., Stergiopoulos, G., Dasaklis, T., Kotzanikolaou, P., Glynos, D., Douligeris, C.: Security in IOMT communications: a survey. Sensors 20(17), 4828 (2020)

    Google Scholar 

  14. Laiphrakpam, D.S., Khumanthem, M.S.: Medical image encryption based on improved elgamal encryption technique. Optik 147, 88–102 (2017). https://doi.org/10.1016/j.ijleo.2017.08.028

    Article  Google Scholar 

  15. Liu, W., Sun, K., Zhu, C.: A fast image encryption algorithm based on chaotic map. Opt. Lasers Eng. 84, 26–36 (2016). https://doi.org/10.1016/j.optlaseng.2016.03.019

    Article  Google Scholar 

  16. Liu, X., Xiao, D., Liu, C.: Quantum image encryption algorithm based on bit-plane permutation and sine logistic map. Quantum Inf. Process. 19(8), 1–23 (2020). https://doi.org/10.1007/s11128-020-02739-w

  17. Mishra, Z., Acharya, B.: High throughput and low area architectures of secure iot algorithm for medical image encryption. J. Inf. Secur. Appl. 53, 102533 (2020). https://doi.org/10.1016/j.jisa.2020.102533

  18. Shankar, K., Elhoseny, M., Chelvi, E.D., Lakshmanaprabu, S., Wu, W.: An efficient optimal key based chaos function for medical image security. IEEE Access 6, 77145–77154 (2018). https://doi.org/10.1109/access.2018.2874026

    Article  Google Scholar 

  19. Tsafack, N., et al.: A memristive rlc oscillator dynamics applied to image encryption. J. Inf. Secur. Appl. 61, 102944 (2021)

    Google Scholar 

  20. Zhang, W.Z., et al.: Secure and optimized load balancing for multitier iot and edge-cloud computing systems. IEEE Internet Things J. 8(10), 8119–8132 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Renjith V. Ravi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ravi, R.V., Goyal, S.B., Djeddi, C. (2022). A New Medical Image Encryption Algorithm for IoMT Applications. In: Djeddi, C., Siddiqi, I., Jamil, A., Ali Hameed, A., Kucuk, İ. (eds) Pattern Recognition and Artificial Intelligence. MedPRAI 2021. Communications in Computer and Information Science, vol 1543. Springer, Cham. https://doi.org/10.1007/978-3-031-04112-9_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-04112-9_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04111-2

  • Online ISBN: 978-3-031-04112-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics