Abstract
Derived from Sine map and an iterative chaotic map with infinite collapse (ICMIC), a new high-dimensional hyperchaotic map, sinusoidal feedback Sine ICMIC modulation map (SF-SIMM), is proposed. Two-dimensional (2D) model of SF-SIMM is investigated as an example, and its chaotic performances are evaluated. Results show that it has complicated phase space trajectory, infinite equilibrium points, hyperchaotic behaviors, rather large maximum Lyapunov exponent, three typical bifurcations and multiple coexisting attractors with odd symmetry. Furthermore, it has advantages in complexity, distribution characteristics and zero correlation and can generate two independent pseudo-random sequences simultaneously. Therefore, it has good application prospects in secure communication.
Similar content being viewed by others
References
Hilborn, R.C.: Chaos and Nonlinear Dynamics: An Introduction for Scientists and Engineers. Oxford University Press, New York (2001)
Richman, J.S., Moorman, J.R.: Physiological time-series analysis using approximate entropy and sample entropy. Am. J. Physiol. Heart C 278(6), 2039–2049 (2000)
He, S.B., Sun, K.H., Wang, H.H.: Complexity analysis and DSP implementation of the fractional-order Lorenz hyperchaotic system. Entropy 17(12), 8299–8311 (2015)
Liu, W.H., Sun, K.H., Zhu, C.X.: A fast image encryption algorithm based on chaotic map. Opt. Laser Eng. 84, 26–36 (2016)
Wang, X.Y., Gu, S.X., Zhang, Y.Q.: Novel image encryption algorithm based on cycle shift and chaotic system. Opt. Laser Eng. 68, 126–134 (2015)
Zhu, C.X., Xu, S.Y., Hu, Y.P., Sun, K.H.: Breaking a novel image encryption scheme based on Brownian motion and PWLCM chaotic system. Nonlinear Dyn. 79(2), 1511–1518 (2015)
Varadan, V., Leung, H.: Design of piecewise maps for chaotic spread-spectrum communications using genetic programming. IEEE Trans. Circuits I 49(11), 1543–1553 (2002)
Arroyo, D., Diaz, J., Rodriguez, F.B.: Cryptanalysis of a one round chaos-based substitution permutation network. Signal Process. 93(5), 1358–1364 (2012)
Li, C.Q., Zhang, L.Y., Ou, R., Wong, K.W., Shu, S.: Breaking a novel color image encryption algorithm based on chaos. Nonlinear Dyn. 70(4), 2383–2388 (2012)
Skrobek, A.: Cryptanalysis of chaotic stream cipher. Phys. Lett. A 363(1–2), 84–90 (2007)
Ling, C., Wu, X.F., Sun, S.G.: A general efficient method for chaotic signal estimation. IEEE Trans. Signal Process. 47(5), 1424–1428 (1999)
Wu, X., Hu, H., Zhang, B.: Parameter estimation only from the symbolic sequences generated by chaos system. Chaos Solitons Fractals 22(2), 359–366 (2004)
Chen, J.X., Zhu, Z.L., Fu, C., Zhang, L.B., Yu, H.: Analysis and improvement of a double-image encryption scheme using pixel scrambling technique in gyrator domains. Opt. Laser Eng. 66, 1–9 (2015)
Hénon, M.: A two-dimensional mapping with a strange attractor. Commun. Math. Phys 50(1), 69–77 (1976)
Rössler, O.E.: An equation for hyperchaos. Phys. Lett. A 71(2–3), 155–157 (1979)
Sheng, L.Y., Sun, K.H., Li, C.B.: Study of discrete chaotic system based on tangent-delay for elliptic reflecting cavity and its properties. Acta Phys. Sin 53(9), 2871–2876 (2004)
Wang, G.Y., Yuan, F.: Cascade chaos and its dynamic characteristics. Acta Phys. Sin 62(2), 020506 (2013)
Li, J.H., Liu, H.: Color image encryption based on advanced encryption standard algorithm with two-dimensional chaotic map. IET Inf. Secur. 7(4), 265–270 (2013)
Wu, Y., Yang, G., Jin, H., Noonan, J.P.: Image encryption using the two-dimensional logistic chaotic map. J. Electron. Imaging 21(1), 013014-1-013014-15 (2012)
Hua, Z.Y., Zhou, Y.C., Pun, C.M., Philip Chen, C.L.: 2D Sine Logistic modulation map for image encryption. Inf. Sci. 297, 80–94 (2015)
Chen, G.R., Mao, Y.B., Chui, C.K.: A symmetric image encryption scheme based on 3D chaotic cat maps. Chaos Soliton Fractals 21(3), 749–761 (2004)
Ye, R.S.: A novel chaos-based image encryption scheme with an efficient permutation-diffusion mechanism. Opt. Commun. 284(22), 5290–5298 (2011)
Hiroto, T., Toshimitsu, U., Satoshi, K.: A high-dimensional chaotic discrete-time neuron model and bursting phenomena. Phys. Lett. A 308(1), 41–46 (2003)
Kolmogorov, A.N.: Three approaches to the definition of the concept ‘quantity of information’. Probl. Peredachi Inf. 1, 3–11 (1965)
Pincus, S.M.: Approximate entropy as a measure of system complexity. Proc. Natl. Acad. Sci. USA 88(6), 2297–2301 (1991)
Chen, W., Zhang, J., Yu, W., Wang, Z.: Measuring complexity using FuzzyEn, ApEn, and SampEn. Med. Eng. Phys. 31(1), 61–68 (2009)
Bandt, C., Pompe, B.: Permutation entropy: a natural complexity measure for time series. Phys. Rev. Lett. 88(17), 174102 (2002)
Nadia, M., Jonas, D.H., Kjaer, T.W., Morabito, F.C.: Differentiating interictal and ictal states in childhood absence epilepsy through permutation Rényi entropy. Entropy 17(7), 4627–4643 (2015)
He, D., He, C., Jiang, L.G., Zhu, H.W., Hu, G.R.: A chaotic map with infinite collapses. Proc. TENCON 3, 95–99 (2000)
Shen, C.W., Yu, S.M., Lu, J.H., Chen, G.R.: Designing hyperchaotic systems with any desired number of positive Lyapunov exponents via a simple model. IEEE Trans. Circuits I 61(8), 2380–2389 (2014)
Sun, K.H., Duo Li-kun, A., Duo, L.K., Wang, H.H., Zhong, K.: Multiple coexisting attractors and hysteresis in the generalized Ueda oscillator. Math. Probl. Eng. 2013(8), 1–7 (2013)
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant Nos. 61161006 and 61573383) and the Innovation Project of Graduate of Central South University (Grant Nos. 2016zzts230).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Liu, W., Sun, K. & He, S. SF-SIMM high-dimensional hyperchaotic map and its performance analysis. Nonlinear Dyn 89, 2521–2532 (2017). https://doi.org/10.1007/s11071-017-3601-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-017-3601-3