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Dynamic analysis of fractional-order memristive chaotic system with time delay and its application in color image encryption based on DNA encoding

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Abstract

This paper proposes a fractional-order delayed memristive chaotic system and studies its dynamic analysis, and then a color image is encrypted based on the chaotic system and DNA encoding. First, the stability and bifurcation behaviors of the fractional-order memristive chaotic system with time delay are investigated and some sufficient conditions of the stability are obtained. Second, the Largest Lyapunov exponent, bifurcation diagram and K of the 0–1 test of the novel system are calculated, and they are shown by coexisting bifurcation, coexisting attractors, coexisting plot of \(p-q\) and so on. All of these indicate that the novel system exists the abundant dynamic characteristics. Finally, a color image encryption scheme based on the proposed system is introduced, and the security is evaluated by statistical analysis and different attacks. Numerical simulation proves the validity of the theoretical analysis and high security of the proposed image encryption scheme.

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References

  1. L.O. Chua, IEEE Trans. Circuit Theory 18, 507–519 (1971)

    Article  Google Scholar 

  2. D.B. Strukov, G.S. Snider, D.R. Stewart, R.S. Williams, Nature 453, 80–83 (2008)

    Article  ADS  Google Scholar 

  3. J.M. Tour, H. Tao, Nature 453, 42–43 (2008)

  4. W. Yao, C. Wang, J. Cao, Y. Sun, C. Zhou, Neurocomputing 363, 281–294 (2019)

    Article  Google Scholar 

  5. G. Velmurugan, R. Rakkiyappan, Nonlinear Dyn. 83, 419–432 (2016)

    Article  Google Scholar 

  6. F. Min, C. Li, L. Zhang, Chin. J. Phys. 58, 117–131 (2019)

    Article  Google Scholar 

  7. M. E. Sahina, Z. G. Cam Taskiran, H. Guler, S. E. Hamamci, Sensors Actuators A 290 (2019) 107-118

  8. B. Naderi, H. Kheiri, Optik 127, 2407–2412 (2016)

    Article  ADS  Google Scholar 

  9. X. Zhang, C. Wang, IEEE Access 7, 16336–16350 (2019)

    Article  Google Scholar 

  10. C. Li, J.C. Sprott, Y. Liu, Z. Gu, J. Zhang, Int. J. Bifurcation Chaos 28 (2019)

  11. J. Sun, Y. Wu, G. Cui, Y. Wang, Nonlinear Dyn. 88, 1677–1690 (2017)

    Article  Google Scholar 

  12. J.Y. Sun, C.B. Li, T.A. Lu, A. Akgul, F.H. Min, IEEE Access 8, 139289–139298 (2020)

    Article  Google Scholar 

  13. K. Zhan, D. Wei, J.H. Shi, J. Yu, J. Electron. Imaging 26 (2017)

  14. X.L. Chai, Z.H. Gan, K. Yuan, Y.R. Chen, X.X. Liu, Neural Comput. Appl. 31, 219–237 (2019)

    Article  Google Scholar 

  15. L.M. Zhang, K.H. Sun, W.H. Liu, S.B. He, Chin. Phys. B 26 (2017)

  16. M. Itoh, L.O. Chua, Int. J. Bifurcation Chaos 18, 3183–3206 (2008)

    Article  ADS  Google Scholar 

  17. B. Muthuswamy, L.O. Chua, Int. J. Bifurcation Chaos 20, 1567–1580 (2010)

    Article  ADS  Google Scholar 

  18. B.C. Bao, Z.H. Ma, J.P. Xu, Z. Liu, Q. Xu, Int. J. Bifurcation Chaos 21, 2629–2645 (2011)

    Article  ADS  Google Scholar 

  19. V.T. Pham, C.K. Volos, S. Vaidyanathan, T.P. Le, V.Y. Vu, J. Eng. Sci. Technol 8, 205–214 (2015)

    Google Scholar 

  20. K.B. Oldham, J. Spanier, IEEE Trans. (Academic, New York, 1974)

    Google Scholar 

  21. R. Hilfer, P. L. Butzer, U. Westpha, Appl. Fract. Calc. Phys (2000) (chapter 1)

  22. H.L. Xi, Y.X. Li, X. Huang, Entropy 16, 6240–6253 (2014)

    Article  ADS  Google Scholar 

  23. L.P. Chen, Y.G. He, X. Lv, R.C. Wu, Pramana. J. Phys. 85, 91–104 (2015)

    Google Scholar 

  24. X. Huang, J. Jia, Y.X. Li, Z. Wang, Neurocomputing 218, 296–306 (2016)

  25. D.W. Ding, X. Qian, N. Wang, D. Liang, Eur. Phys. J. Plus. 132, 447 (2017)

    Article  Google Scholar 

  26. W. Hu, D.W. Ding, N. Wang, J. Comput. Nonlinear Dyn. 14 (2017)

  27. I. Petráš, Y. Q. Chen, C. Coopmans, 2009 IEEE Conference on Emerging Technologies and Factory Automation 1–18 (2009)

  28. I. Petráš, IEEE Trans. Circuits Syst. 57, 975–979 (2010)

    Google Scholar 

  29. D. Cafagna, G. Grassi, Nonlinear Dyn. 70, 1185–1197 (2012)

    Article  Google Scholar 

  30. P. Li, J. Xu, J. Mou, F.F. Yang, Int. Image Video Process. 22 (2019)

  31. C.Y. Chen, K. Rajagopal, I.I. Hamarash, F. Nazarimehr, F.E. Alsaadi, T. Hayat, Eur. Phys. J. Spec. Top. 228, 1969–1981 (2019)

    Article  Google Scholar 

  32. Y.J. Yu, M. Shi, H.Y. Kang, M. Chen, B.C. Bao, Nonlinear Dyn. 100, 891–906 (2020)

    Article  Google Scholar 

  33. W. Hu, D.W. Ding, Y.Q. Zhang, N. Wang, D. Liang, Optik 130, 189–200 (2017)

    Article  ADS  Google Scholar 

  34. Y.J. Fan, X. Huang, Z. Wang, J.W. Xia, Y.X. Li, Adv. Differ. Equ. 219–237 (2018)

  35. Y. Wang, T.Z. Li, Math. Probl. Eng. 2014 (2014)

  36. H. Wang, Y.G. Yu, G.G. Wen, S. Zhang, Neural Process. Lett. 42, 479–500 (2015)

    Article  Google Scholar 

  37. S.B. Bhalekar, Pramana 81, 215–224 (2013)

    Article  ADS  Google Scholar 

  38. F.F. Yang, J. Mou, J. Liu, C.G. Ma, H.Z. Yan, Signal Process. 169 (2020)

  39. P. Mani, R. Rajan, L. Shanmugam, Y.H. Joo, Inf. Sci. 491, 74–89 (2019)

    Article  Google Scholar 

  40. X.L. Chai, Z.H. Gan, Y. Lu, M.H. Zhang, Y.R. Chen, Chin. Phys. B 25 (2016)

  41. N.R. Zhou, S.M. Pan, S. Cheng, Z.H. Zhou, Opt. Laser Technol. 82, 121–133 (2016)

    Article  ADS  Google Scholar 

  42. R. Parvaz, M. Zarebnia, Opt. Laser Technol. 101, 30–41 (2018)

    Article  ADS  Google Scholar 

  43. B. Wang, F.C. Zou, J. Cheng, Optik 154, 538–544 (2018)

    Article  ADS  Google Scholar 

  44. I. Podlubny, Math. Sci. Eng. 198 (1998)

  45. S. Wang, Y. Yu, G. Wen, Nonlinear Anal. Hybrid Syst. 11, 129–138 (2014)

    Article  MathSciNet  Google Scholar 

  46. F. Rahma, S. Muneam, Appl. Sci. Technol. Nonlinear circuits 50–62 (2019)

  47. L.O. Chua, S.M. Kang, Proc. IEEE 64, 209–223 (1976)

    Article  MathSciNet  Google Scholar 

  48. S. Bhalekar, V. Daftardar-Gejji, J. Fract, Calculus Appl. 1, 1–9 (2011)

    Google Scholar 

  49. M.T. Rosenstein, J.J. Collins, C.J. De Luca, Physica D 65, 117–134 (1993)

    Article  MathSciNet  ADS  Google Scholar 

  50. J. S. Armand, Eyebe Fouda, Bertrand Bodo, Samrat L. Sabat, J. Yves Effa, Int. J. Bifurcation Chaos 24 (2014)

  51. L.O. Chua, Radioengin 24, 319–368 (2015)

    Article  Google Scholar 

  52. Y.Q. Zhang, X.Y. Wang, Inf. Sci. 273, 329–351 (2014)

    Article  ADS  Google Scholar 

  53. J. Fouda, J. Effa, M. Sabat, Commun. Nonlinear Sci. Numer. Simul. 19, 578–588 (2014)

    Article  MathSciNet  ADS  Google Scholar 

  54. X. Zhang, Z. Zhao, Nonlinear Dyn. 75, 319–330 (2014)

    Article  Google Scholar 

  55. X.L. Chai, Multimed. Tools Appl. 76, 1159–1175 (2017)

    Article  Google Scholar 

  56. G.D. Ye, Nonlinear Dyn. 75, 417–427 (2014)

    Article  Google Scholar 

Download references

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Correspondence to Zongli Yang.

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Yang, Z., Liang, D., Ding, D. et al. Dynamic analysis of fractional-order memristive chaotic system with time delay and its application in color image encryption based on DNA encoding. Eur. Phys. J. Spec. Top. 230, 1785–1803 (2021). https://doi.org/10.1140/epjs/s11734-021-00117-w

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  • DOI: https://doi.org/10.1140/epjs/s11734-021-00117-w

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