Skip to main content

Principle of Image Encrypting Algorithm Based on Magic Cube Transformation

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3802))

Abstract

A new method for digital image scrambling transformation, namely Magic Cube Transformation, was proposed and its principle was introduced. Combined with the Logistic mapping in non-linear dynamics system, an image encrypting and decrypting algorithm based on Magic Cube Transformation was designed. A natural chaotic sequence was created with the key. The image matrix was transformed with this chaotic sequence, using the Magic Cube Transformation. Then an encrypted image was resulted. The decrypting operation was the reverse process of encryption. The experimental results indicate that the proposed algorithm can get satisfying effect. Finally, the characteristics of the algorithm were summarized and the aspects of the subsequent work were prospected.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yen, J.C., Guo, J.I.: Efficient hierarchical chaotic image encryption algorithm and its VLSI realization. IEE proceedings-vision image and signal processing 147(2), 167–175 (2000)

    Article  Google Scholar 

  2. Ujvari, T., Koppa, P., Lovasz, M., et al.: A secure data storage system based on phase-encoded thin polarization holograms. Journal of optics A-pure and applied optics 6(4), 401–411 (2004)

    Article  Google Scholar 

  3. Wang, R.Z., Lin, C.F., Lin, J.C.: Image hiding by optimal LSB substitution and genetic algorithm. Pattern recognition 34(3), 671–683 (2001)

    Article  MATH  Google Scholar 

  4. Cai, L.Z., He, M.Z., Liu., Q.: Digital image encryption and watermarking by phase-shifting interferometry. Applied optics 43(15), 3078–3084 (2004)

    Article  Google Scholar 

  5. Qi, D.X., Zou, J.C., Han, X.Y.: A new class of scrambling transformation and its application in the image information covering. Chinese in Science(Series E) 43(3), 304–312 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  6. Finher, Y.: Fractal image compression. Fractals 2(3), 347–361 (1994)

    Article  Google Scholar 

  7. Scharinger, J.: Fast encryption of image data using chaotic Kolmogorov flows. In: Proceedings of the International Society for Optical Engineering, San Joe, California, vol. 3022, pp. 278–289 (1997)

    Google Scholar 

  8. Dedieu, H., Ogorzalek, M.J.: Identifiability and identification of chaotic systems based on adaptive synchronization. IEEE Trnas Circuits & Sys. I 44(10), 948–962 (1997)

    Article  MathSciNet  Google Scholar 

  9. Xiang, H.: Digital watermarking systems with chaotic sequences. In: Proceedings of Electronic Imaging 1999. Security and Watermarking of Multimedia Contents, SPIE, San Jose, vol. 3659, pp. 449–457 (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, L., Ji, S., Xie, Y., Yuan, Q., Wan, Y., Bao, G. (2005). Principle of Image Encrypting Algorithm Based on Magic Cube Transformation. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_145

Download citation

  • DOI: https://doi.org/10.1007/11596981_145

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30819-5

  • Online ISBN: 978-3-540-31598-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics