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Images encryption based on robust multi-mode finite time synchronization of fractional-order hyper-chaotic Rikitake systems

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A Correction to this article was published on 05 July 2023

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Abstract

The main goal of this paper is to design a finite time multiple synchronization controller for fractional order hyper chaotic Rikitate systems. In this article, systems are considered with unknown delays and unknown parameters and synchronization is performed in the presence of disturbance and uncertainty. In the proposed method, adaptive rules for estimating unknown parameters, disturbance bounds and uncertainties as well as control efforts for synchronization in finite time are obtained with the help of Lyapunov’s stability theorem. Synchronization errors have converged to zero in finite time. Also, the encryption performance of images and their transmission was investigated based on the proposed multi-mode synchronization algorithm. Additionally, the histogram diagram of several encrypted images was shown based on the synchronization techniques of the fractional-order Rikitake system. A number of statistical parameters including histogram, correlation, NPCR, UACI, PSNR, and information entropy were calculated for the encrypted images in order to indicate the performance and compare the two proposed synchronization methods. Finally, satisfactory results in different image encryption were achieved based on the synchronization technique of the fractional-order Rikitake chaotic system.

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References

  1. Alam Z, Yuan L, Yang Q (2016) Chaos and combination synchronization of a new fractional-order system with two stable node-foci. IEEE/CAA J Autom Sin 3(2):157–164

    MathSciNet  Google Scholar 

  2. Bhalekar S, Daftardar-Gejji V (2010) Synchronization of different fractional order chaotic systems using active control. Commun Nonlinear Sci Numer Simul 15(11):3536–3546

    Google Scholar 

  3. Bhat MA, Khan A (2018) Multi-switching combination synchronization of different fractional-order non-linear dynamical systems. Int J Model Simul 38(4):254–261

    Google Scholar 

  4. Bulut GG, Güler H (2019) Fuzzy based chaotic synchronization of Chen Systems. In 2019 1st global power, energy and communication conference (GPECOM) (pp. 30–34). IEEE

  5. Chen X, Park JH, Cao J, Qiu J (2017) Sliding mode synchronization of multiple chaotic systems with uncertainties and disturbances. Appl Math Comput 308:161–173

    MathSciNet  Google Scholar 

  6. Harshavarthini S, Sakthivel R, Kong F (2020) Finite-time synchronization of chaotic coronary artery system with input time-varying delay. Chaos, Solitons Fractals 134:109683

    MathSciNet  Google Scholar 

  7. Hosny K, Kamal S, Darwish M (2021) New image encryption algorithm using Hyperchaotic system and Fibonacci Q-matrix. Electronics 2021(10):1066. https://doi.org/10.3390/electronics10091066

    Article  Google Scholar 

  8. Ibraheem A (2020) Multi-switching dual combination synchronization of time delay dynamical systems for fully unknown parameters via adaptive control. Arab J Sci Eng 45(8):6911–6922

    Google Scholar 

  9. Jahanshahi H, Sajjadi SS, Bekiros S, Aly AA (2021) On the development of variable-order fractional hyper-chaotic economic system with a nonlinear model predictive controller. Chaos, Solitons Fractals 144:110698

    Google Scholar 

  10. Jahanzaib LS, Trikha P, Baleanu D (2021) Analysis and application using quad compound combination anti-synchronization on novel fractional-order chaotic system. Arab J Sci Eng 46(2):1729–1742

    Google Scholar 

  11. Jia H, Guo C, Zhao L, Xu Z (2020) Improved sliding mode finite-time synchronization of chaotic systems with unknown parameters. Algorithms 13(12):346

    MathSciNet  Google Scholar 

  12. Kekha Javan, A., Zare., et, al,. (2021). Medical images encryption based on adaptive-robust multi-mode synchronization of Chen hyper-chaotic systems. Sensors 2021, 21, 3925.

  13. Kekha Javan A, Zare A et al (2021) Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying and its Application in Secure Communications. Sensors 21(1):254

    Google Scholar 

  14. Kekha Javan A, Zare A, Alizadehsani R, Balochian S (2022) Robust multi-mode synchronization of chaotic fractional order Systems in the Presence of disturbance, time delay and uncertainty with application in secure communications. Big Data Cogn Comput 2022(6):51

    Google Scholar 

  15. Kekha Javan AA, Zare A, Alizadeh R (2022) Multi-state synchronization of chaotic systems with distributed fractional order derivatives and its application in secure communications. Big Data Cogn Comput 2022(6):82

    Google Scholar 

  16. Khan A, Bhat MA (2017) Multi-switching combination–combination synchronization of non-identical fractional-order chaotic systems. Math Methods Appl Sci 40(15):5654–5667

    MathSciNet  Google Scholar 

  17. Khan A, Nigar U (2020) Sliding mode disturbance observer control based on adaptive hybrid projective compound combination synchronization in fractional-order chaotic systems. J Control, Autom Electric Syst 31(4):885–899

    Google Scholar 

  18. Kumar S, Panna B, Jha RK (2019) Medical image encryption using fractional discrete cosine transform with chaotic function. Med Biol Eng Comput 57(11):2517–2533

    Google Scholar 

  19. Lai Q, Norouzi B, Liu F (2018) Dynamic analysis, circuit realization, control design and image encryption application of an extended Lü system with coexisting attractors. Chaos, Solitons Fractals 114:230–245

    MathSciNet  Google Scholar 

  20. Lai, Q, Wan, Z, Zhang, H (2022) Design and analysis of multi scroll Memristive Hopfield neural network with adjustable Memductance and application to image encryption. IEEE Trans Neural Netw Learn Syst, https://doi.org/10.1109/TNNLS.2022.3146570.

  21. Lai Q, Lai C, Zhang H, Li C (2022) Hidden coexisting hyper-chaos of new memristive neuron model and its application in image encryption. Chaos, Solitons Fractals 158:112017

    Google Scholar 

  22. Li S, Tian YP (2003) Finite time synchronization of chaotic systems. Chaos, Solitons Fractals 15(2):303–310

    MathSciNet  Google Scholar 

  23. Li B, Zhou X, Wang Y (2019) Combination synchronization of three different fractional-order delayed chaotic systems. Complexity 2019:9. https://doi.org/10.1155/2019/5184032

  24. Li W, Bai G, ImaniMarrani H (2020) A new robust finite-time synchronization and anti-synchronization method for uncertain chaotic systems by using adaptive estimator and terminal sliding mode approaches. J Control, Autom Electric Syst 31(6):1375–1385

    Google Scholar 

  25. Liu J, Tang S, Lian J, Ma Y, Zhang X (2019) A novel fourth order chaotic system and its algorithm for medical image encryption. Multidim Syst Sign Process 30:1637–1657

    Google Scholar 

  26. Liu Z, Saberi A, Stoorvogel AA, Nojavanzadeh D (2020) Global regulated state synchronization for homogeneous networks of non-introspective agents in presence of input saturation: scale-free nonlinear and linear protocol designs. Autom 119:109041

    MathSciNet  Google Scholar 

  27. Liu S, Shang Z, Lei J (2021) Finite time synchronization of chaotic systems without linear term and its application in secure communication: a novel method of information hiding and recovery with chaotic signals. Int J Inf Secur Privacy (IJISP) 15(4):54–78

    Google Scholar 

  28. Luo R, Su H, Zeng Y (2017) Synchronization of uncertain fractional-order chaotic systems via a novel adaptive controller. Chin J Phys 55(2):342–349

    Google Scholar 

  29. Mahmoud MSB, Pirovano A, Larrieu N (2014) Aeronautical communication transition from analog to digital data: a network security survey. Comput Sci Rev 11:1–29

    Google Scholar 

  30. Mahmoud, GM, Arafa, AA, Mahmoud, EE (2018) On phase and anti-phase combination synchronization of time delay nonlinear systems. J Comput Nonlinear Dyn, 13(11)

  31. Mboupda Pone JR, Kingni ST, Kol GR, Pham VT (2019) Hopf bifurcation, anti-monotonicity and amplitude controls in the chaotic Toda jerk oscillator: analysis, circuit realization and combination synchronization in its fractional-order form. Automatika 60(2):149–161

    Google Scholar 

  32. Mohammadpour S, Binazadeh T (2018) Robust finite-time synchronization of uncertain chaotic systems: application on duffing-Holmes system and chaos gyros. Syst Sci Control Eng 6(1):28–36

    Google Scholar 

  33. Nabutovsky I, Nachshon A, Klempfner R, Shapiro Y, Tesler R (2020) Digital cardiac rehabilitation programs: the future of patient-centered medicine. Telemed E-Health 26(1):34–41

    Google Scholar 

  34. Nemati, HR, Yang, L (Eds.). (2010). Applied encryption for cyber security and defense: information encryption and cyphering: information encryption and cyphering. I.G.I.Global

  35. Ratib O, Ligier Y, Scherrer JR (1994) Digital image management and communication in medicine. Comput Med Imaging Graph 18(2):73–84

    Google Scholar 

  36. Rosset C, Rosset A, Ratib O (2005) General consumer communication tools for improved image management and communication in medicine. J Digit Imaging 18(4):270–279

    Google Scholar 

  37. Saadaoui S, Tabaa M, Monteiro F, Chehaitly M, Dandache A (2019) Discrete wavelet packet transform-based industrial digital wireless communication systems. Inf 10(3):104

    Google Scholar 

  38. Safi S, Thiessen T, Schmailzl KJ (2018) Acceptance and resistance of new digital technologies in medicine: qualitative study. JMIR Res Protocols 7(12):e11072

    Google Scholar 

  39. Sun Z, Si L, Shang Z, Lei J (2018) Finite-time synchronization of chaotic PMSM systems for secure communication and parameters identification. Optik 157:43–55

    Google Scholar 

  40. Sweetha S, Sakthivel R, Harshavarthini S (2021) Finite-time synchronization of nonlinear fractional chaotic systems with stochastic actuator faults. Chaos, Solitons Fractals 142:110312

    MathSciNet  Google Scholar 

  41. Vincent UE, Guo RW (2011) Finite-time synchronization for a class of chaotic and hyperchaotic systems via adaptive feedback controller. Phys Lett A 375(24):2322–2326

    Google Scholar 

  42. Wang, Y, Shi, Y, Yi, W, Nie, C (2004) The methods of digital communication system chaotic encryption using the duffing oscillator. In Proceedings 7th international conference on signal processing, 2004. Proceedings. ICSP'04. 2004. (Vol. 3, pp. 1845–1848). IEEE

  43. Wang H, Han ZZ, Xie QY, Zhang W (2009) Finite-time synchronization of uncertain unified chaotic systems based on CLF. Nonlin Anal Real World Appl 10(5):2842–2849

    MathSciNet  Google Scholar 

  44. Wang L, Dong T, Ge MF (2019) Finite-time synchronization of memristor chaotic systems and its application in image encryption. Appl Math Comput 347:293–305

    Google Scholar 

  45. Yadav VK, Srivastava M, Das S (2018) Backstepping control for combined function projective synchronization among fractional order chaotic systems with uncertainties and external disturbances. In: Nonlinear dynamical systems with self-excited and hidden attractors. Springer, Cham, pp 115–132

    Google Scholar 

  46. Yadav VK, Kumar R, Leung AYT, Das S (2019) Dual phase and dual anti-phase synchronization of fractional order chaotic systems in real and complex variables with uncertainties. Chin J Phys 57:282–308

    Google Scholar 

  47. Yao, Q (2020) Synchronization of second-order chaotic systems with uncertainties and disturbances using fixed-time adaptive sliding mode control. Chaos, Solitons& Fractals, 110372

  48. Yu J, Chen B, Yu H, Gao J (2011) Adaptive fuzzy tracking control for the chaotic permanent magnet synchronous motor drive system via backstepping. Nonlin Anal Real World Appl 12(1):671–681

    MathSciNet  Google Scholar 

  49. Yu J, Le J, Liu D (2017) Synchronization of chaotic system with adaptive transfer function sliding mode method. Optik 130:1053–1072

    Google Scholar 

  50. Zheng CD, Zhang L (2020) On synchronization of competitive memristor-based neural networks by nonlinear control. Neurocomput 410:151–160

    Google Scholar 

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Authors

Contributions

“Conceptualization, A.A.K.J., A.M., and A.Z.; methodology, A.A.K.J., A.M. and A.Z.; software, A.A.K.J., and A.Z.; validation, A.A.K.J., A.M. and A.Z.; formal analysis, A.A.K.J., and A.Z.; investigation, A.A.K.J., A.M. and A.Z.; resources, A.A.K.J., and A.Z.; data curation, A.A.K.J., and A.Z.; writing—original draft preparation, A.A.K.J., A.M. and A.Z.; writing—review and editing, A.A.K.J., and A.Z.; visualization, A.A.K.J., A.M., and A.Z.; supervision, A.Z.;

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Correspondence to Assef Zare.

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The original online version of this article was revised: In the original publication of this article, a third author was incorrectly listed. The original article has been corrected removing "Amir Mosavi" from the author list.

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Javan, A.A.K., Zare, A. Images encryption based on robust multi-mode finite time synchronization of fractional-order hyper-chaotic Rikitake systems. Multimed Tools Appl 83, 1103–1123 (2024). https://doi.org/10.1007/s11042-023-15783-2

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