Skip to main content
SpringerLink
Log in

New Encryption Algorithm for Secure Image Transmission Through Open Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Significant advancements in networking and the exponential growth in digital multimedia exchange calls for developing new, efficient multimedia encryption algorithms as an important tool to protect the data during transmission over open networks. Recently, chaos-based ciphers have proven to be more effective for image encryption. In this paper, we propose a chaos-based image cryptosystem in the spatial domain involving confusion and diffusion processes, providing secure transmission for images through networks. We present a shuffling method, which changes each pixel position in the plain image based on the quadratic chaotic map and applies cyclic shifts locally and globally. To achieve a high security level, we apply a chaotic based substitution step on the scrambled image, strongly peaking entropy. This step involves obfuscating each pixel value according to the quadratic map key. It is apparent from the obtained results in our security analysis that it is difficult for unauthorized users to gain any useful information about the original image.

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

Similar content being viewed by others

References

  1. Dong, W., Li, Q., Tang, Y., Miao, H., & Zeng, R. (2021). A robust and multi-chaotic DNA image encryption with pixel-value pseudorandom substitution scheme.". Optics Communications, 499, 127211.

    Article  Google Scholar 

  2. Wang, J., Zhang, L. Y., Chen, J. X., Hua, G., Zhang, Y. S., & Xiang, Y. (2019). Compressed sensing based selective encryption with data hiding capability. IEEE Transactions on Industrial Informatics, 15(12), 6560–6571.

    Article  Google Scholar 

  3. Cao, X., Du, L., Wei, X., Meng, D., & Guo, X. (2015). High capacity reversible data hiding in encrypted images by patch-level sparse representation. IEEE Transactions on Cybernatics, 46(5), 1132–1143.

    Article  Google Scholar 

  4. Yu, K. L., Chen, L. Q., Wang, Y., Han, J. G., & Zhang, L. J. (2020). Reversible data hiding in encrypted images for coding channel based on adaptive steganography. IET Image Processing, 14(16), 4229–4239.

    Article  Google Scholar 

  5. Ghanbari-Ghalehjoughi, H., Eslami, M., Ahmadi-Kandjani, S., Ghanbari- Ghalehjoughi, M., & Yu, Z. (2020). Multiple layer encryption and steganography via multi-channel ghost imaging. Optics and Lasers in Engineering, 134, 106227.

    Article  Google Scholar 

  6. Khalil, N., Sarhan, A., & Alshewimy, M. A. M. (2021). An efficient color/grayscale image encryption scheme based on hybrid chaotic maps. Optics & Laser Technology, 143, 107326.

    Article  Google Scholar 

  7. Wu, J., Liao, X., & Yang, B. (2017). “Color image encryption based on chaotic systems and elliptic curve ElGamal scheme. Signal Processing, 141, 109–124.

    Article  Google Scholar 

  8. Wang, X., Liu, C., & Zhang, H. (2016). An effective and fast image encryption algorithm based on Chaos and interweaving of ranks. Nonlinear Dynamics, 84(3), 1595–1607.

    Article  MathSciNet  Google Scholar 

  9. Chai, X. (2017). An image encryption algorithm based on bit level Brownian motion and new chaotic systems. Multimedia Tools and Application, 76(1), 1159–1175.

    Article  Google Scholar 

  10. Huang, X. (2012). Image encryption algorithm using chaotic Chebyshev generator. Nonlinear Dynamics, 67(4), 2411–2417.

    Article  MathSciNet  Google Scholar 

  11. Wang, X., Liu, C., & Xu, D. (2016). Image encryption scheme using chaos and simulated annealing algorithm. Nonlinear Dynamics, 84(3), 1417–1429.

    Article  MathSciNet  Google Scholar 

  12. Ye, G. (2010). Image scrambling encryption algorithm of pixel bit based on chaos. Pattern Recognition Letters, 31(5), 347–354.

    Article  Google Scholar 

  13. Zhu, C. (2012). A novel image encryption scheme based on improved hyperchaotic sequences. Optics Communications, 285(1), 29–37.

    Article  Google Scholar 

  14. Liu, H., & Wang, X. (2010). Color image encryption based on one-time keys and robust chaotic maps. Computers & Mathematics Applications, 59(10), 3320–3327.

    Article  MathSciNet  Google Scholar 

  15. Liu, H., & Wang, X. (2011). Color image encryption using spatial bit-level permutation and high-dimension chaotic system. Optics Communications, 284(16–17), 3895–3903.

    Article  Google Scholar 

  16. Liu, H., Wang, X., & Kadir, A. (2012). Image encryption using DNA complementary rule and chaotic maps. Applied Soft Computing, 12(5), 1457–1466.

    Article  Google Scholar 

  17. Wang, X.-Y., Yang, L., Liu, R., & Kadir, A. (2010). A chaotic image encryption algorithm based on perceptron model. Nonlinear Dynamics, 62(3), 615–621.

    Article  MathSciNet  Google Scholar 

  18. Zhang, Y., & Xiao, D. (2014). An image encryption scheme based on rotation matrix bit-level permutation and block diffusion. Communications in Nonlinear Science Numerical Simulation, 19(1), 74–82.

    Article  Google Scholar 

  19. Zhang, Y., & Xiao, D. (2013). Double optical image encryption using discrete Chirikov standard map and chaos-based fractional random transform. Optics and Lasers in Engineering, 51(4), 472–480.

    Article  Google Scholar 

  20. Li, C., Luo, G., Qin, K., & Li, C. (2017). An image encryption scheme based on chaotic tent map. Nonlinear Dynamics, 87(1), 127–133.

    Article  Google Scholar 

  21. Wu, X., Zhu, B., Hu, Y., & Ran, Y. (2017). A novel color image encryption scheme using rectangular transform-enhanced chaotic tent maps. IEEE Access, 5, 6429–6436.

    Google Scholar 

  22. Sathishkumar, G. A., & N. Sriraam, N., (2011). Image encryption based on diffusion and multiple chaotic maps." arXiv preprint arXiv: https://arxiv.org/abs/1103.3792

  23. Li, C., Lin, D., & Lü, J. (2017). Cryptanalyzing an image-scrambling encryption algorithm of pixel bits. IEEE Multimedia, 24(3), 64–71.

    Article  Google Scholar 

  24. Li, C., Liu, Y., Xie, T., & Chen, M. Z. Q. (2013). Breaking a novel image encryption scheme based on improved hyperchaotic sequences. Nonlinear Dynamics, 73(3), 2083–2089.

    Article  MathSciNet  Google Scholar 

  25. Wang, X., Luan, D., & Bao, X. (2014). Cryptanalysis of an image encryption algorithm using Chebyshev generator. Digital Signal Processing, 25, 244–247.

    Article  Google Scholar 

  26. Zhang, Y.-Q., & Wang, X.-Y. (2015). A new image encryption algorithm based on non-adjacent coupled map lattices. Applied Soft Computing, 26, 10–20.

    Article  Google Scholar 

  27. Ramadan, N., Ahmed, H. E. H., Elkhamy, S. E., & El-Samie, F. E. A. (2016). Chaos-based image encryption using an improved quadratic chaotic map. American Journal of Signal Processing, 6(1), 1–13.

    Google Scholar 

  28. Fernando Jorge S. Moreira, (1992), “Chaotic dynamics of quadratic maps”, Master’s thesis, University of Porto.

  29. Dai, Y., Wang, H., & Sun, H. (2016). Cyclic shift chaotic medical image encryption algorithm based on plain text key-stream. International Journal of Simulation: Systems, Science and Technology, 17(27), 24–31.

    Google Scholar 

  30. Mikhail, M., Abouelseoud, Y., & ElKobrosy, G. (2017). Two-phase image encryption scheme based on FFCT and fractals. Security and Communication Networks, 2017, 1–13.

    Article  Google Scholar 

  31. Xiaolin, W., Zhu, B., Yutong, H., & Ran, Y. (2017). A novel color image encryption scheme using rectangular transform-enhanced chaotic tent maps. IEEE Access, 5, 6429–6436.

    Google Scholar 

  32. Wu, Y., Noonan, J. P., & Agaian, S. (2011). NPCR and UACI randomness tests for image encryption. Cyber journals: multidisciplinary journals in science and technology, Journal of Selected Areas in Telecommunications (JSAT), 1(2), 31–38.

    Google Scholar 

  33. Wang, X.-Y., Chen, F., & Wang, T. (2010). A new compound mode of confusion and diffusion for block encryption of image based on chaos. Communications in Nonlinear Science and Numerical Simulation, 15(9), 2479–2485.

    Article  MathSciNet  Google Scholar 

  34. Wang, X., Wang, X., Zhao, J., & Zhang, Z. (2011). Chaotic encryption algorithm based on alternant of stream cipher and block cipher. Nonlinear Dynamics. An International Journal of Nonlinear Dynamics and Chaos in Engineering Systems, 63(4), 587–597.

    MathSciNet  Google Scholar 

  35. Lima, J. B., Lima, E. A. O., & Madeiro, F. (2013). Image encryption based on the finite field cosine transform. Signal Processing: Image Communication, 28(10), 1537–1547.

    Google Scholar 

  36. Rakesh, S., Kaller, A. A., Shadakshari, B. C., & Annappa, B., Multilevel image encryption. https://arxiv.org/abs/1202.4871.

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt

    Hassan Elkamchouchi & Rosemarie Anton

  2. Department of Engineering Mathematics, Faculty of Engineering, Alexandria University, Alexandria, Egypt

    Yasmine Abouelseoud

Authors
  1. Hassan Elkamchouchi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rosemarie Anton
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yasmine Abouelseoud
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rosemarie Anton.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Elkamchouchi, H., Anton, R. & Abouelseoud, Y. New Encryption Algorithm for Secure Image Transmission Through Open Network. Wireless Pers Commun 125, 45–62 (2022). https://doi.org/10.1007/s11277-022-09540-1

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-022-09540-1

Keywords

Search

Navigation