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A novel asymmetrical double-wing hyperchaotic system with multiple different attractors: application to finite-time synchronization and image encryption

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Abstract

In this paper, a novel asymmetrical double-wing third order hyperchaotic system is humbly proposed. The dynamic behavior of the system is greatly abundant after properly analyzing the phase diagram, bifurcation diagram, Lyapunov exponents spectrum, Poincare section diagram, and complexity. In addition, chaotic attractors under different parameters of the system are analyzed. In the dynamic analysis of the new system, it is found that the new system has some characteristics, like multi-stability, multi-state transition phenomenon, multiple attractors coexist. These features possess the value of in-depth analysis compared to previous systems and can make it promising for more applications. It is extraordinary attention for this new chaotic system, due to exist on multi-state transition phenomenon. The circuit diagram of the system is designed and implemented. Simultaneously, the circuit of the system is engineered and accomplished by using Multisim circuit simulation software. Furthermore, the limited time synchronization for the system is studied and carried out by an appropriate controller. Ultimately, algorithm of image encryption, novel and efficient, is designed by combining DNA dynamic encryption. The chaotic sequence of the current system is used to encrypt the image, and the key space, encrypted histogram, adjacent pixel correlation, robustness and information entropy are analyzed. The excellent performance analysis results further indicate that this hyperchaotic system has important reference value in the chosen field of chaotic image encryption and synchronization.

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References

  1. Abusham EA (2014) Face verification using Local Graph Stucture (LGS)[C]// International Symposium on Biometrics & Security Technologies. IEEE

  2. Ahmadi A, Rajagopal K, Alsaadi FE, Pham VT, Jafari S (2020) A novel 5D chaotic system with extreme multi-stability and a line of equilibrium and its engineering applications: circuit design and FPGA implementation[J]. Iranian J Sci Technol Trans Electr Eng 44:59–67

    Article  Google Scholar 

  3. Banu SA, Amirtharajan R (2020) A robust medical image encryption in dual domain: chaos-DNA-IWT combined approach[J]. Med Biol Eng Comput 58(7):1445–1458

    Article  Google Scholar 

  4. Bao H, Cao J Finite-time generalized synchronization of nonidentical delayed chaotic systems. Nonlinear Anal Model Control 21:306–324

  5. Bao B, Peol MA, Bao H et al (2022) No-argument memristive hyper-jerk system and its coexisting chaotic bubbles boosted by initial conditions. Chaos, Solitons Fractals 144(3):110744

    MathSciNet  Google Scholar 

  6. Bhatti UA, Huang et al (2018) Recommendation system for immunization coverage and monitoring. Human Vaccin Immunother 14:165–171

    Article  Google Scholar 

  7. Bhatti UA, Huang MX, Wu D et al (2019) Recommendation system using feature extraction and pattern recognition in clinical care systems. Enterpr Inf Syst 13:329–351

    Article  Google Scholar 

  8. Bhatti UA, Yuan L, Yu Z et al (2020) Hybrid watermarking algorithm using Clifford algebra with Arnold scrambling and chaotic encryption. IEEE Access 8:76386–76398

    Article  Google Scholar 

  9. Bhatti UA, Zeeshan Z, Nizamani MM et al (2022) Assessing the change of ambient air quality patterns in Jiangsu Province of China pre-to post-COVID-19. Chemosphere 288:132569

    Article  Google Scholar 

  10. Bhatti UA, Yu Z, Chanussot J et al (2022) Local Similarity-Based Spatial–Spectral Fusion Hyperspectral Image Classification with Deep CNN and Gabor Filtering. IEEE Trans Geosci Remote Sens 60:1–15

    Article  Google Scholar 

  11. Chen GR (1999) Yet another chaotic attractor. J Bifurcation Chaos 9:1465–1466

    Article  MathSciNet  MATH  Google Scholar 

  12. Chen SH, Liu J (2002) Tracking control and synchronization of chaotic systems based upon sampled-data feedback[J]. Chinese Physics 2002(3):11

  13. Chen QQ, Zhang AQ, Lin HW et al (2018) Comput Digital Eng 46(11):2336–2341

    Google Scholar 

  14. Chen MS, Zhen W, Nazarimehr F, Jafari S (2021) A novel memristive chaotic system without any equilibrium point. Integr VLSI J 79:133–142

    Article  Google Scholar 

  15. Cun QQ, Tong XJ, Wang Z, Zhang M (2021) Selective image encryption method based on dynamic DNA coding and new chaotic map. Optik-Int J Light and Electron Optics 243:167286

    Article  Google Scholar 

  16. de la Fraga LG, Torres-Perez E, Tlelo Cuautle E, Mancillas Lopez C (2017) Hardware implementation of pseudo-random number generators based on chaotic maps. Nonlinear Dyn 90:1661–1670

    Article  Google Scholar 

  17. Ding L, Cui L, Yu F et al (2021) Basin of attraction analysis of new memristor-based fractional-order chaotic system[J]. Complexity. https://doi.org/10.1155/2021/5578339

  18. Enayatifar R, Abdull A, Isnin IF (2014) Chaos based image encryption using a hybrid genetic algorithm and a DNA sequence. Opt Lasers Eng 56:83–93

    Article  Google Scholar 

  19. Gopakumar K, Premlet B, Gopchndrank G (2010) Inducing chaos in Wien-bridge oscillator by nonlinear composite devices[J]. Int J Electr Eng Res 22:489–496

    Google Scholar 

  20. Guan S, Lai CH, Wei G (2005) Phase synchronization between two essentially different chaotic systems. Phys Rev E 72:016205

    Article  MathSciNet  Google Scholar 

  21. Han XT, Mou J, Li X, Ma CG (2021) Coexistence of infinite attractors in a fractional-order chaotic system with two nonlinear functions and its DSP implementation. Integr VLSI J 81:43–55

    Article  Google Scholar 

  22. Haq TU, Shah T (2021) 4D mixed chaotic system and its application to RGB image encryption using substitution-fiffusion. J Inf Secur Appl 61:102931

    Google Scholar 

  23. Hu T, Liu Y, Gong LH et al (2017) Chaotic image cryptosystem using DNA deletion and DNA insertion[J]. Signal Process 134(May):234–243

    Article  Google Scholar 

  24. Hua Z, Fan J, Xu B et al (2018) 2D logistic-sine-coupling map for image encryption[J]. Signal Process 149(148):161

    Google Scholar 

  25. Huang L, Feng R, Wang M (2004) Synchronization of chaotic systems via nonlinear control. Phys Lett A 320:271–275

    Article  MathSciNet  MATH  Google Scholar 

  26. Huang YJ, Xu Y, Li HR (2018) Image encryption algorithm based on DNA encoding and hyperchaotic system. J Inner Mongolia Univ Sci Technol 37(3):246–254

    Google Scholar 

  27. Huang LL, Yao WJ, Xiang JH et al (2022) Study on super-multistability of a four-dimensional chaotic system with multisymmetric homogeneity attractor[J]. J Electron Inf Technol 44(1):10

    Google Scholar 

  28. Jafari MA, Mliki E, Akgul A (2017) Chameleon: the most hidden chaotic flow. Nonlinear Dyn 88:2303–2317

    Article  MathSciNet  Google Scholar 

  29. Jafari S, Ahmadi A, Khalaf AJM (2018) A new hidden chaotic attractor with extreme multi-stability. AEU-Int J Electron Commun 89:131–135

    Article  Google Scholar 

  30. Kang XB, Lin GF, Chen YJ et al (2020) Robust and secure zero-watermarking algorithm for color images based on majority voting pattern and hyper-chaotic encryption[J]. Multimed Tools Appl 79(11)

  31. Kaur G, Agarwal R, Patidar V (2021) Color image encryption system using combination of robust chaos and chaotic order fractional Hartley transformation. J King Saud Univ-Comput Inf Sci 3:007

    Google Scholar 

  32. Khalaf AJM, Abdolmohammadi HR, Ahmadi A, Moysis L, Volos C, Hussain I (2020) Extreme multi-stability analysis of a novel 5D chaotic system with hidden attractors, line equilibrium, permutation entropy and its secure communication scheme[J]. Eur Phys J Spec Top 229:1175–1188

    Article  Google Scholar 

  33. Li L, Kong LY (2018) A new image encryption algorithm based on Chaos. J Syst Simul 30:54–96

    Google Scholar 

  34. Li HL, Wang Z, Jiang YL (2017) Anti-synchronization and intermittent anti-synchronization of two identical delay hyperchaotic Chua systems via linear control. Asian J Control 19:202–214

    Article  MathSciNet  MATH  Google Scholar 

  35. Li CQ, Lin DD, Lü JH (2017) Cryptanalyzing an image-scrambling encryption algorithm of pixel bits. IEEE Multimed 24:64–71

    Article  Google Scholar 

  36. Li C, Zhang Y, Xie EY (2019) When an attacker meets a cipher-image in 2018: A year in review. J Inform Secur Appl 48:102361

    Google Scholar 

  37. Liu L, Liu Q (2019) Cluster synchronization in a complex dynamical network of non-identical nodes with delayed and non-delayed coupling via pinning control. Phys Scr 94:045204

    Article  Google Scholar 

  38. Liu H, Zhao B, Huang L (2019) A remote-sensing image encryption scheme using DNA bases probability and twodimensional logistic map[J]. IEEE Access 7:65450–65459

    Article  Google Scholar 

  39. Lu JH, Chen GR (2002) A new chaotic attractor coined. Int J Bifurcation Chaos 12:659–661

    Article  MathSciNet  MATH  Google Scholar 

  40. Ma MZ, Liu Y, Li ZJ (2021) Study on Memristor Switched chaotic Circuit and its Attractor Coexistence[J]. J Electron Inf Technol 43(12):8

    Google Scholar 

  41. Min FH, Wang ZL, Wang ER (2016) New memristor chaotic circuit and its application to image encryption. J Electron Inf Technol 38:2681–2688

    Google Scholar 

  42. Pak C, Huang L (2017) A new color image encryption using combination of the 1D chaotic map. Signal Process 138:129–137

    Article  Google Scholar 

  43. Qu SH, Yang ZH, Rong XW (2019) A New Memristor Chaotic System and Its Application in Image Encryption. J Syst Simul 31:984–991

    Google Scholar 

  44. Rajagopal K, Akgul A, Jafari S, Aricioglu B (2018) A chaotic memcapacitor oscillator with two unstable equilibriums and its fractional form with engineering applications. Nonlinear Dyn 91:957–974

    Article  Google Scholar 

  45. Shi L, Yang X, Li Y, Feng Z (2016) Finite-time synchronization of nonidentical chaotic systems with multiple time-varying delays and bounded perturbations. Nonlinear Dyn 83:75–87

    Article  MathSciNet  MATH  Google Scholar 

  46. Solev D, Janjic P, Kocarev L (2011) Introduction to Chaos. In: Kocarev L, Lian S (eds) Chaos-Based Cryptography. Studies in Computational Intelligence, vol 354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20542-2_1

  47. Sprott JC (1994) Some simple chaotic flows. Phys Rev E 50:R647–R650

    Article  MathSciNet  Google Scholar 

  48. Sun J, Wang Y, Wang Y, Shen Y (2016) Finite-time synchronization between two complex-variable chaotic systems with unknown parameters via nonsingular terminal sliding mode control. Nonlinear Dyn 85:1105–1117

    Article  MathSciNet  MATH  Google Scholar 

  49. Tian JL, Deng LG (2021) Image encryption method based on fifth order CNH Hyperchaotic system. J Xihua Univ (Nat Sci Ed) 40:63–70

    Google Scholar 

  50. Trejo Guerra R, Tlelo Cuautle E, Cruz Hernández C, Sanchĕz Lopĕz C (2009) Chaotic communication system using Chua’s oscillators realized with CCII+ s. Int J Bifurc Chaos 19:4217–4226

    Article  Google Scholar 

  51. Wang XF, Chen G (2002) Synchronization in scale-free dynamical networks: robustness and fragility. IEEE Trans Circuits Syst I 49:54–62

    Article  MathSciNet  MATH  Google Scholar 

  52. Wang L, Zeng Z, Hu J, Wang X (2017) Controller design for global fixed-time synchronization of delayed neural networks with discontinuous activations. Neural Netw 87:122–131

    Article  MATH  Google Scholar 

  53. Wang N, Zhang G, Bao H (2019) Bursting oscillations and coexisting attractors in a simple memristor-capacitor-based chaotic circuit. Nonlinear Dyn 97:1477–1494

    Article  MATH  Google Scholar 

  54. Wang N, Zhang G, Ren L (2020) Coexisting asymmetric behavior and free control in a simple 3-d chaotic system. AEU-Int J Electron Commun 122:153234

    Article  Google Scholar 

  55. Wang N, Zhang G, Bao H (2020) Infinitely many coexisting conservative flows in a 4D conservative system inspired by LC circuit. Nonlinear Dyn 99:3197–3216

    Article  Google Scholar 

  56. Wu X, Kan H, Ju et al (2015) A new color image encryption scheme based on DNA sequences and multiple improved 1D chaotic maps[J]. Appl Soft Comput 37:24–39

    Article  Google Scholar 

  57. Yan SH, Shi WL, Wang QY et al (2022) Research and synchronization application of a new 3D switched chaotic system[J]. Complex Syst Complex Sci:1–13

  58. Yan SH, Wang ET, Sun X et al A chaotic system with co-existence of attractors and its synchronization circuit realization [J]. J Shenzhen Univ Sci Technol Ed

  59. Yang Y, Land HL, Xiang JZ (2021) Design of multi-wing 3D chaotic systems with only stable equilibria or no equilibrium point using rotation symmetry. Int J Electron Commun 135:153710

    Article  Google Scholar 

  60. Yu J, Hu C, Jiang H, Fan X (2014) Projective synchronization for fractional neural networks. Neural Netw 49:87–95

    Article  MATH  Google Scholar 

  61. Zhan K, Jiang WG (2017) Novel four-wing hyper-chaos system and its application in image encryption. Comput Eng Applications 53:36–44

    Google Scholar 

  62. Zhang J, Xu LH (2022) An active magnetron memristor hyperchaotic circuit and image encryption. Comput Eng Sci 44(8):1392–1401

    Google Scholar 

  63. Zhang G, Liu Z, Ma Z (2007) Generalized synchronization of different dimensional chaotic dynamical systems. Chaos, Solitons Fractals 32:773–779

    Article  MathSciNet  MATH  Google Scholar 

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Funding

Partial financial support was received from Science and Technology Project of Gansu Province.

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Correspondence to Jie Zhang.

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Zhang, J., Xu, L. A novel asymmetrical double-wing hyperchaotic system with multiple different attractors: application to finite-time synchronization and image encryption. Multimed Tools Appl 82, 37503–37527 (2023). https://doi.org/10.1007/s11042-023-15117-2

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