Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Image encryption algorithm based on quantum chaotic map and DNA coding

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

Abstract

With the rapid development of network and information technology, people are paying more attention to the security of information, particularly digital image protection, and numerous image encryption algorithms have been proposed. Because of the non-periodicity and sensitivity to the initial value, chaotic map seems to be a tool that can be used for image encryption. Recent work has shown that the quantum chaotic map is very sensitive to a slight change in the initial conditions. The sensitivity of the quantum chaotic map can extremely increase the complexity of the encryption algorithms. At present, a wide variety of image encryption algorithms based on DNA encoding have been proposed, where the image pixel values are encoded by four base pairs of DNA to achieve image pixel diffusion, but most of the methods in selecting the DNA encoding rules are fixed. In this paper, we present a new image encryption algorithm with the quantum chaotic map, the Lorenz chaotic map and DNA coding, which uses four base pairs of DNA dynamically select eight types of DNA encoding rules and eight types of DNA addition and XOR rules. This strategy has led to a significant enhancement in reliability and security. Through simulation experiments, the results of the histograms, correlations and the number of pixels change rate (NPCR) analyses indicate that the proposed algorithm possesses a high level of security and can successfully resist different attacks such as brute-force attacks and statistical attacks.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Ahmed F, Anees A, Abbas V, Siyal M (2014) A Noisy Channel tolerant image encryption scheme. Wirel Pers Commun 77(4):2771–2791

    Article  Google Scholar 

  2. Akhshani A, Akhavan A, Lim S, Hassan Z (2012) An image encryption scheme based on quantum logistic map. Commun Nonlinear Sci Num Simul 17(12):4653–4661

    Article  MathSciNet  MATH  Google Scholar 

  3. Akhshani A, Akhavan A, Mobaraki A, Lim S, Hassan Z (2014) Pseudo random number generator based on quantum chaotic map. Commun Nonlinear Sci Num Simul 19(1):101–111

    Article  MATH  Google Scholar 

  4. Axenides M, Floratos E, Nicolis S (2018) The quantum cat map on the modular discretization of extremal black hole horizons[J]. Eur Phys J C 78(5):412–427

    Article  Google Scholar 

  5. Bakhshandeh A, Eslami Z (2013) An authenticated image encryption scheme based on chaotic maps and memory cellular automata. Optics Lasers Eng 51(6):665–673

    Article  Google Scholar 

  6. Chai X, Chen Y, Broyde L (2017) A novel chaos-based image encryption algorithm using DNA sequence operations. Optics Lasers Eng 88:197–213

    Article  Google Scholar 

  7. Enayatifar R, Abdullah A, Isnin I (2014) Chaos-based image encryption using a hybrid genetic algorithm and a DNA sequence. Optics Lasers Eng 56(5):83–93

    Article  Google Scholar 

  8. Goggin M, Sundaram B, Milonni P (1990) Quantum logistic map. Phys Rev A 41(10):5705–5708

    Article  MathSciNet  Google Scholar 

  9. Hermassi H, Rhouma R, Belghith S (2013) Improvement of an image encryption algorithm based on hyper-chaos. Telecommun Syst 52(2):539–549

    Google Scholar 

  10. Hu T, Liu Y, Gong LH, Ouyang C (2017) An image encryption scheme combining chaos with cycle operation for DNA sequences. Nonlinear Dynam 87:1–16

    Article  Google Scholar 

  11. Huang X, Ye G (2014) An image encryption algorithm based on hyper-chaos and DNA sequence. Multimed Tools Appl 72(1):57–70

    Article  Google Scholar 

  12. Inoue K, Ohya M, Volovich IV (2009) On a combined quantum Baker's map and its characterization by entropic Chaos degree[J]. Open Syst Inform Dynam 16(02&03):179–193

    Article  MathSciNet  MATH  Google Scholar 

  13. Kadir A, Aili M, Sattar M (2017) Color image encryption scheme using coupled hyper chaotic system with multiple impulse injections. Optik - Int J Light Electron Optics 129:231–238

    Article  Google Scholar 

  14. Kalpana J, Murali P (2015) An improved color image encryption based on multiple DNA sequence operations with DNA synthetic image and chaos. Optik - Int J Light Electron Optics 126(24):5703–5709

    Article  Google Scholar 

  15. Kulsoom A, Xiao D, Rehman A, Abbas S (2016) An efficient and noise resistive selective image encryption scheme for gray images based on chaotic maps and DNA complementary rules. Multimed Tools Appl 75(1):1–23

    Article  Google Scholar 

  16. Li C, Zhang L, Ou R, Wong K, Shu S (2012) Breaking a novel color image encryption algorithm based on chaos. Nonlinear Dynam 70(4):2383–2388

    Article  MathSciNet  Google Scholar 

  17. Liu H, Wang X, Kadir A (2012) Image encryption using DNA complementary rule and chaotic maps. Appl Soft Comput J 12(5):1457–1466

    Article  Google Scholar 

  18. Mazloom S, Eftekhari-Moghadam A (2009) Color image encryption based on coupled nonlinear chaotic map. Chaos, Solitons Fractals 42(3):1745–1754

    Article  MATH  Google Scholar 

  19. Rehman A, Liao X, Kulsoom A, Abbas S (2015) Selective encryption for gray images based on chaos and DNA complementary rules. Multimed Tools Appl 74(13):4655–4677

    Article  Google Scholar 

  20. Sharma N, Saini I, Yadav A, Singh P (2017) Phase-image encryption based on 3D-Lorenz chaotic system and double random phase encoding. 3D Res 8(4):39–56

    Article  Google Scholar 

  21. Tang Z, Zhang X, Lan W (2014) Efficient image encryption with block shuffling and chaotic map. Multimed Tools Appl 74(15):1–20

    Google Scholar 

  22. Tian Y, Lu Z (2017) Novel permutation-diffusion image encryption algorithm with chaotic dynamic S-box and DNA sequence operation. AIP Adv 7(8):085008

    Article  Google Scholar 

  23. Wang X, Liu C (2016) A novel and effective image encryption algorithm based on chaos and DNA encoding. Multimed Tools Appl 76(5):1–17

    Google Scholar 

  24. Wang X, Wang Q (2013) A novel image encryption algorithm based on dynamic S-boxes constructed by chaos. Nonlinear Dynam 75(3):567–576

    Article  Google Scholar 

  25. Wang Y, Lei P, Yang H, Cao H (2015) Security analysis on a color image encryption based on DNA encoding and chaos map. Comput Electr Eng 46(C):433–446

    Article  Google Scholar 

  26. Wang H, Liang H, Miao Z (2016) A new color image encryption scheme based on chaos synchronization of time-delay Lorenz system. Adv Manufact 4(4):348–354

    Article  Google Scholar 

  27. Xu G, Guo X (2014) DNA image encryption algorithm improvement. Laser J 35(7):23–29

    Google Scholar 

  28. Zhang Q, Guo L, Wei X (2010) Image encryption using DNA addition combining with chaotic maps. Math Comput Model 52(11):2028–2035

    Article  MathSciNet  MATH  Google Scholar 

  29. Zhang J, Hou D, Ren H (2016) Image encryption algorithm based on dynamic DNA coding and Chen’s Hyperchaotic system. Math Probl Eng 11:1–11

    MathSciNet  MATH  Google Scholar 

  30. Zhao J, Wang S, Chang Y, Li X (2015) A novel image encryption scheme based on an improper fractional-order chaotic system. Nonlinear Dynam 80(4):1721–1729

    Article  MathSciNet  Google Scholar 

  31. Zhen P, Zhao G, Min L, Jin X (2016) Chaos-based image encryption scheme combining DNA coding and entropy. Multimed Tools Appl 75(11):6303–6319

    Article  Google Scholar 

  32. Zhou Y, Bao L, Chen C (2014) A new 1D chaotic system for image encryption. Signal Process 97(7):172–182

    Article  Google Scholar 

Download references

Acknowledgements

The work is supported by the Fundamental Research Funds for the Central Universities (No. 2572017CB35) and the Science and Technology Innovation Talent Research Fund of Harbin (No. 2017RAQXJ098).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian Zhang.

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

Zhang, J., Huo, D. Image encryption algorithm based on quantum chaotic map and DNA coding. Multimed Tools Appl 78, 15605–15621 (2019). https://doi.org/10.1007/s11042-018-6973-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-018-6973-6

Keywords