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Generation of grid multi-wing chaotic attractors and its application in video secure communication system

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Abstract

In order to study the application of chaos in video image encryption, a real-time video secure communication system based on a new grid multi-wing chaotic system is proposed in this paper. First, by introducing sawtooth wave functions to the Lorenz system, a new grid multi-wing butterfly chaotic system with complicated dynamical behaviors is obtained. Compared with the existing multi-scroll and multi-wing chaotic systems, The system structure is simple and more easier to be implemented in a digital system. Then, a chaos-based pseudorandom random number generator is developed by implementing post-processing procedure. The present video secure communication system is designed with the closed-loop feedback scheme. The corresponding hardware implementation is developed by FPGA platforms, and the experimental results are given to verify its feasibility. Furthermore, a series of widely used secure analyses are applied to prove that the system has good security performance.

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References

  1. Ahmad J, Khan MA, Ahmed F, Khan JS (2018) A novel image encryption scheme based on orthogonal matrix, skew tent map, and XOR operation. Neural Comput & Applic 30:3847–3857. https://doi.org/10.1007/s00521-017-2970-3

    Article  Google Scholar 

  2. J Ahmad, H Larijani, R Emmanuel, M Mannion, A Javed, A Ahmadinia (2018) An Intelligent Real-Time Occupancy Monitoring System with Enhanced Encryption and Privacy, in: 2018 IEEE 17th Int. Conf. Cogn. Informatics Cogn. Comput., IEEE, 524–529. doi:https://doi.org/10.1109/ICCI-CC.2018.8482047.

  3. J Ahmad, H Larijani, R Emmanuel, M Mannion, A-U-H Qureshi (2018) Secure Occupancy Monitoring System for IoT Using Lightweight Intertwining Logistic Map, in: 2018 10th Comput Sci Electron Eng, IEEE, 208–213. doi:https://doi.org/10.1109/CEEC.2018.8674208

  4. Ahmed F, Siyal MY, Abbas VU A Perceptually Scalable and JPEG Compression Tolerant Image Encryption Scheme, in: 2010 Fourth Pacific-rim Symp. Image Video Technol, IEEE 2010:232–238. https://doi.org/10.1109/PSIVT.2010.46

  5. LE Bassham, AL Rukhin, J Soto, JR Nechvatal, ME Smid, EB Barker, SD Leigh, M Levenson, M Vangel, DL Banks, NA Heckert, JF Dray, S Vo (2010) A statistical test suite for random and pseudorandom number generators for cryptographic applications, Gaithersburg, MD. doi:https://doi.org/10.6028/NIST.SP.800-22r1a.

  6. Ben Slimane N, Bouallegue K, Machhout M (2017) Designing a multi-scroll chaotic system by operating logistic map with fractal process. Nonlinear Dyn 88:1655–1675. https://doi.org/10.1007/s11071-017-3337-0

    Article  Google Scholar 

  7. Bouallegue K, Chaari A, Toumi A (2011) Multi-scroll and multi-wing chaotic attractor generated with Julia process fractal. Chaos, Solitons Fractals 44:79–85. https://doi.org/10.1016/J.CHAOS.2010.12.005

    Article  MathSciNet  Google Scholar 

  8. Chen Y, Xu W, Zuo J, Yang K (2019) The fire recognition algorithm using dynamic feature fusion and IV-SVM classifier. Clust Comput 22:7665–7675

    Article  Google Scholar 

  9. Chen Y, Wang J, Xia R, Zhang Q, Cao Z, Yang K (2019) The visual object tracking algorithm research based on adaptive combination kernel. J Ambient Intell Humaniz Comput 10:4855–4867. https://doi.org/10.1007/s12652-018-01171-4

    Article  Google Scholar 

  10. Chen Y, Wang J, Chen X, Zhu M, Yang K, Wang Z, Xia R (2019) Single-image super-resolution algorithm based on structural self-similarity and deformation block features. IEEE Access 7:58791–58801. https://doi.org/10.1109/ACCESS.2019.2911892

    Article  Google Scholar 

  11. Chen Y, Wang J , Liu S, et al. (2019) Multiscale fast correlation filtering tracking algorithm based on a feature fusion model[J]. Concur Comput Pract Exp (5)

  12. Chen Y, Tao J, Liu L, Xiong J, Xia R, Xie J, Zhang Q, Yang K (2020) Research of improving semantic image segmentation based on a feature fusion model. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02066-z

  13. Chen Y, Tao J, Zhang Q, Yang K, Chen X, Xiong J, Xia R, Xie J (2020) Saliency Detection via Improved Hierarchical Principle Component Analysis Method. Wirel Commun Mob Comput 2020:8822777. https://doi.org/10.1155/2020/8822777

    Article  Google Scholar 

  14. Chowdhury K, Chaudhuri D, Pal AK et al (2019) Seed selection algorithm through K-means on optimal number of clusters. Multimed Tools Appl 78:18617–18651. https://doi.org/10.1007/s11042-018-7100-4

    Article  Google Scholar 

  15. Deng-Ping Fan,Wang Wenguan ,Cheng Ming-Ming, et al. (2019) Shifting more attention to video salient object detection-Supplemenatry materials[C]// CVPR19

  16. Gan Q, Yu S, Li C, Lü J, Lin Z, Chen P (2017) Design and ARM-embedded implementation of a chaotic map-based multicast scheme for multiuser speech wireless communication. Int J Circuit Theory Appl 45:1849–1872. https://doi.org/10.1002/cta.2300

    Article  Google Scholar 

  17. Hua Z, Zhou Y, Huang H (2019) Cosine-transform-based chaotic system for image encryption. Inf Sci (Ny) 480:403–419. https://doi.org/10.1016/J.INS.2018.12.048

    Article  Google Scholar 

  18. Huang Y, Zhang P, Zhao W (2015) Novel grid multiwing butterfly chaotic attractors and thei-r circuit design. IEEE Trans Circuits Syst II Express Briefs 62:496–500. https://doi.org/10.1109/TCSII.2014.2385274

    Article  Google Scholar 

  19. Hussain I, Shah T, Gondal MA (2012) Image encryption algorithm based on PGL(2,GF(28)) S-boxes and TD-ERCS chaotic sequence. Nonlinear Dyn 70:181–187. https://doi.org/10.1007/s11071-012-0440-0

    Article  Google Scholar 

  20. Karnatak R, Ramaswamy R, Prasad A (2007) Amplitude death in the absence of time delays in identical coupled oscillators. Phys Rev E 76:035201. https://doi.org/10.1103/PhysRevE.76.035201

    Article  Google Scholar 

  21. Khan FA, Ahmed J, Khan JS, Ahmad J, Khan MA (2017) A novel image encryption based on Lorenz equation, Gingerbreadman chaotic map and S8 permutation. J Intell Fuzzy Syst 33:3753–3765. https://doi.org/10.3233/JIFS-17656

    Article  Google Scholar 

  22. Lai Q, Guan Z-H, Wu Y, Liu F, Zhang D-X (2013) Generation of multi-wing chaotic attractors from a lorenz-like system. Int J Bifurc Chaos 23:1350152. https://doi.org/10.1142/S0218127413501526

    Article  MathSciNet  MATH  Google Scholar 

  23. Li C, Lin D, Lu J, Hao F (2018) Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography. IEEE Multime 25:46–56. https://doi.org/10.1109/MMUL.2018.2873472

    Article  Google Scholar 

  24. Li C, Feng B, Li S, Kurths J, Chen G (2019) Dynamic analysis of digital chaotic maps via state-mapping networks. IEEE Trans Circuits Syst I Regul Pap 66:2322–2335. https://doi.org/10.1109/TCSI.2018.2888688

    Article  MathSciNet  Google Scholar 

  25. Liao Z, Zhang R, He S, Zeng D, Wang J, Kim H-j (2019) Deep learning-based data storage for low latency in data center networks. IEEE Access 7(1):26411–26417

    Article  Google Scholar 

  26. Lin ZS, Yu SM, Lü JH et al (2015) Design and ARM-embedded implementation of a chaotic map-based real-time secure video communication system[J]. IEEE Trans Circuits Systems Video Technol 25(7):1203–1216

    Article  Google Scholar 

  27. Lin Z, Yu S, Lu J, Cai S, Chen G (2015) Design and ARM-embedded implementation of a chaotic map-based real-time secure video communication system. IEEE Trans Circuits Syst Video Technol 25:1203–1216. https://doi.org/10.1109/TCSVT.2014.2369711

    Article  Google Scholar 

  28. Lin Z, Wang G, Wang X, Yu S, Lü J (2018) Security performance analysis of a chaotic stream cipher. Nonlinear Dyn 94:1003–1017. https://doi.org/10.1007/s11071-018-4406-8

    Article  Google Scholar 

  29. Lu X, Wang W, Ma C, et al. (2019) See more, know more: unsupervised video object segmentation with co-attention Siamese networks[C]// CVPR19

  30. Luo Y, Qin J, Xiang X, Tan Y, Liu Q, Xiang L (2020) Coverless real-time image information hiding based on image block matching and dense convolutional network. J Real-Time Image Proc 17(1):125–135

    Article  Google Scholar 

  31. Neelima N, Ravi Kumar Y (2019) Optimal clustering based outlier detection and cluster center initialization algorithm for effective tone mapping. Multimed Tools Appl 78:31057–31075. https://doi.org/10.1007/s11042-019-07907-4

    Article  Google Scholar 

  32. Palazzi MJ, Cosenza MG (2014) Amplitude death in coupled robust-chaos oscillators. Eur Phys J Spec Top 223:2831–2836. https://doi.org/10.1140/epjst/e2014-02296-5

    Article  Google Scholar 

  33. Pano-Azucena AD, de Jesus Rangel-Magdaleno J, Tlelo-Cuautle E, de Jesus Quintas-Valles A (2017) Arduino-based chaotic secure communication system using multi-directional multi-scroll chaotic oscillators. Nonlinear Dyn 87:2203–2217. https://doi.org/10.1007/s11071-016-3184-4

    Article  Google Scholar 

  34. Tlelo-Cuautle E, Rangel-Magdaleno JJ, Pano-Azucena AD, Obeso-Rodelo PJ, Nunez-Perez JC (2015) FPGA realization of multi-scroll chaotic oscillators. Commun Nonlinear Sci Numer Simul 27:66–80. https://doi.org/10.1016/j.cnsns.2015.03.003

    Article  MathSciNet  MATH  Google Scholar 

  35. Wang Wenguan,Lu Xiankai , Shen Jianbing (2019) Zero-shot video object segmentation via attentive graph neural networks[C]// CVPR19

  36. Wu H-G, Bao B-C, Liu Z (2011) Scroll number and distribution control of attractor: system design and circuit realization. Acta Phys Sin 60:090502

    Google Scholar 

  37. Yu S, Lu J, Chen G, Yu X (2011) Generating grid multiwing chaotic attractors by constructing heteroclinic loops into switching systems. IEEE Trans Circuits Syst II Exp Briefs 58:314–318. https://doi.org/10.1109/TCSII.2011.2149090

    Article  Google Scholar 

  38. Zhang L-M, Sun K-H, Liu W-H, He S-B, Zhang L-M, Sun K-H, Liu W-H, He S-B (2017) A novel color image encryption scheme using fractional-order hyperchaotic system and DNA sequence operations. Chin Phys B 26:100504. https://doi.org/10.1088/1674-1056/26/10/100504

    Article  Google Scholar 

  39. Zhang S, Zeng YC, Jun Li Z (2018) A novel four-dimensional no-equilibrium hyper-chaotic system with grid multiwing hyper-chaotic hidden attractors. J Comput Nonlinear Dyn 13:090908. https://doi.org/10.1115/1.4039980

    Article  Google Scholar 

  40. Zhang S, Zeng Y, Li Z, Wang M, Xiong L (2018) Generating one to four-wing hidden attractors in a novel 4D no-equilibrium chaotic system with extreme multistability. Chaos An Interdiscip J Nonlinear Sci 28:013113. https://doi.org/10.1063/1.5006214

    Article  MathSciNet  MATH  Google Scholar 

  41. Zhang S, Zeng Y, Li Z (2018) One to four-wing chaotic attractors coined from a novel 3D fractional-order chaotic system with complex dynamics. Chin J Phys 56:793–806. https://doi.org/10.1016/J.CJPH.2018.03.002

    Article  Google Scholar 

  42. Zhang S, Zeng Y, Li Z, Wang M, Xiong L (2018) A novel grid multiwing chaotic system with only non-hyperbolic equilibria. Pramana. 90:63. https://doi.org/10.1007/s12043-018-1556-7

    Article  Google Scholar 

  43. Zhang J, Wu Y, Feng W, Wang J (2019) Spatially attentive visual tracking using multi-model adaptive response fusion. IEEE Access 7:83873–83887. https://doi.org/10.1109/ACCESS.2019.292494

    Article  Google Scholar 

  44. Zhiben Z, Jun L, Jingyi L, Shiqiang C (2020) Image encryption algorithm based on a new five-dimensional multi-ring multi-wing hyperchaotic system [J]. J Phys 69(04):50–63

    Google Scholar 

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Acknowledgements

The author would like to thank the reviewers and the editor for their invaluable comments on the manuscript of this paper. This work was supported by the National Natural Science Foundation of China [grant number 61471310] and the Natural Science Foundation of Hunan Province, China [grant number 2015JJ2142].

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  1. College of Information Engineering, Xiangtan University, Xiangtan, 411105, Hunan, China

    Ying Li, Zhijun Li, Minglin Ma & Mengjiao Wang

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Li, Y., Li, Z., Ma, M. et al. Generation of grid multi-wing chaotic attractors and its application in video secure communication system. Multimed Tools Appl 79, 29161–29177 (2020). https://doi.org/10.1007/s11042-020-09448-7

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