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New Image Crypto-Compression Scheme Based on Ecc and Chaos Theory for High-Speed and Reliable Transmission of Medical Images in the IOMT Cover

New Image Crypto-Compression Scheme Based on Ecc and Chaos Theory for High-Speed and Reliable Transmission of Medical Images in the IOMT

Open Access
|Dec 2024

References

  1. Sudha, K. S., N. Jeyanthi. A Review on Privacy Requirements and Application Layer Security in Internet of Things (IoT). – Cybernetics and Information Technologies, Vol. 21, 2021, No 3, pp. 50-72.
  2. Rehman, M. U., et al. A Novel Medical Image Data Protection Scheme for Smart Healthcare System. – CAAI Transactions on Intelligence Technology, 2024.
  3. Swati, J., P. Nitin. Securing Decentralized Storage in Blockchain: A Hybrid Cryptographic Framework. – Cybernetics and Information Technologies, Vol. 24, 2024, No 2, pp. 16-31.
  4. Singh, P., A. K. Singh. A Survey of Image Encryption for Healthcare Applications. – Evolutionary Intelligence, Vol. 16, 2023, No 3, pp. 801-818.
  5. Suryateja, P. S., K. Venkata Rao. A Survey on Lightweight Cryptographic Algorithms in IoT. – Cybernetics and Information Technologies, Vol. 24, 2024, No 1, pp. 21-34.
  6. Li, Chunyan, et al. A Review of IoT Applications in Healthcare. – Neurocomputing, Vol. 565, 2023, pp. 127017.
  7. Anand, A., et al. Compression-Then-Encryption-Based Secure Watermarking Technique for Smart Healthcare System. – In: IEEE MultiMedia, Vol. 27, 2020, No 4, pp. 133-143.
  8. Pooranakala, K., V. Jaitly. Securing Medical Images Using Compression Techniques with Encryption and Image Steganography. – In: 3rd International Conference on Intelligent Technologies (CONIT’23), IEEE, 2023, pp. 1-7.
  9. Saber, H. K., M. A. Shakir. A Review on Medical Image Compression and Encryption Using Compressive Sensing. – In: Proc. of 2022 International Conference on Computer Science and Software Engineering (CSASE’22), IEEE, 2022, pp. 312-318.
  10. Cao, Weijia, et al. A Joint Encryption and Compression Algorithm for Multiband Remote Sensing Image Transmission. – Sensors, Vol. 23, 2023, No 17, 7600.
  11. Kanshi, A., R. Soundrapandiyan, V. S. Anita Sofia, V. R. Rajasekar. Hybridized Cryptographic Encryption and Decryption Using Advanced Encryption Standard and Data Encryption Standard. – Cybernetics and Information Technologies, Vol. 23, 2023, No 4, pp. 63-78.
  12. Ranjan, K. H. S., S. S. P. Fathimath, G. Aithal, S. Shetty. A Survey on Key(s) and Keyless Image Encryption Techniques. – Cybernetics and Information Technologies, Vol. 17, 2017, No 4, pp. 134-164.
  13. Li, Nan, et al. A Review of Security Issues and Solutions for Precision Health in Internet-of-Medical-Things Systems. – Security and Safety, Vol. 2, 2023, 2022010.
  14. Lata, K., L. R. Cenkeramaddi. Deep Learning for Medical Image Cryptography: A Comprehensive Review. – Applied Sciences, Vol. 13, 2023, No 14, 8295.
  15. Rajendran, S., M. Doraipandian. Chaos Based Secure Medical Image Transmission Model for IoT-Powered Healthcare Systems. – In: IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2021, 012106.
  16. Hajjaji, M. A., M., Dridi, A. Mtibaa. A Medical Image Crypto-Compression Algorithm Based on Neural Network and PWLCM. – Multimedia Tools and Applications, Vol. 78, 2019, pp. 14379-14396.
  17. Mashat, A., S. Bhatia, A. Kumar et al. Medical Image Transmission Using Novel Crypto-Compression Scheme. – Intelligent Automation & Soft Computing, Vol. 32, 2022, No 2.
  18. Pooranakala, K., V. Jaitly. Securing Medical Images Using Compression Techniques with Encryption and Image Steganography. – In: Proc. of 3rd International Conference on Intelligent Technologies (CONIT’23), IEEE, 2023. pp. 1-7.
  19. Ungureanu, V. I., et al. Image-Compression Techniques: Classical and Region-of-Interest-Based Approaches Presented in Recent Papers. – Sensors, Vol. 24, 2024, No 3, 791.
  20. Ibrahim, S., A. Alharbi. Efficient Image Encryption Scheme Using Henon Map, Dynamic S-Boxes and Elliptic Curve Cryptography. – IEEE Access, Vol. 8, 2020, pp. 194289-194302.
  21. Francia, A. S., et al. Elliptic Curves Cryptography for Lightweight Devices in IoT Systems. –Emerging Research in Intelligent Systems: Proceedings of the CIT 2021, Volume 1, Vol. 405, 2022, pp. 71.
  22. Yadav, A. B., et al. A Joint Medical Image Compression and Encryption Using AMBTC and Hybrid Chaotic System. – Journal of Discrete Mathematical Sciences and Cryptography, Vol. 24, 2021, No 8, pp. 2233-2244.
  23. Abdmouleh, M. K., et al. Crypto-Compression Scheme Based on the DWT for Medical Image Security. – International Journal of Computational Vision and Robotics, Vol. 9, 2019, No 4, pp. 340-350.
  24. Ammah, P. N. T., E. Owusu Owusu. Robust Medical Image Compression Based on Wavelet Transform and Vector Quantization. – Informatics in Medicine Unlocked, Vol. 15, 2019, 100183.
  25. Lei, Z., et al. Color Image Encryption Based on a Novel Fourth-Direction Hyperchaotic System. – Electronics, Vol. 13, 2024, No 12, 2229.
  26. Li, Xinsheng, et al. Joint Image Compression and Encryption Based on Sparse Bayesian Learning and Bit-Level 3D Arnold Cat Maps. – PLoS One, Vol. 14, 2019, No 11, e0224382.
  27. Hashim, A. T., et al. Medical Image Encryption Based on Hybrid AES with Chaotic Map. – In: Journal of Physics: Conference Series. IOP Publishing, 2021, 012037.
  28. Man, Z., et al. Medical Image Encryption Scheme Based on Self‐Verification Matrix. – IET Image Processing, Vol. 15, 2021, No 12, pp. 2787-2798.
  29. Kadhim, A. J., S. Tayseer Atia. Quantum Encryption of Healthcare Images: Enhancing Security and Confidentiality in e‐Health Systems. – Security and Privacy, 2024, e391.
DOI: https://doi.org/10.2478/cait-2024-0038 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 108 - 125
Submitted on: Aug 14, 2024
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Accepted on: Nov 1, 2024
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Published on: Dec 18, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Khadija El Kinani, Fatima Amounas, Salma Bendaoud, Mourade Azrour, Mohamed Badiy, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.