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Successive Projective Synchronization and Its Application in Secure Communication

  • ZHU Xiaojing ,
  • LI Kezan ,
  • DING Yong ,
  • ZHU Xiaojing ,
  • LI Kezan ,
  • DING Yong
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  • 1. School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, China;
    2. Cyberspace Security Research Center, Pengcheng Laboratory, Shenzhen 518055, China;
    3. Wuxi Institute of Communications Technology, Wuxi 214000, China

Received date: 2021-01-06

  Revised date: 2021-02-23

  Online published: 2022-02-21

Abstract

Based on the Lyapunov stability theory, the theoretical analysis shows that under appropriate conditions, the drive-response network can achieve global synchronization through adaptive pinning control method. This method is more general and convenient. At the same time, this paper designs a secure communication system based on chaotic masking technology, which can realize one-to-many real-time transmission of information, and has the characteristics of fast decryption speed and high security. Finally, the correctness of the theoretical results is verified by numerical simulation.

Cite this article

ZHU Xiaojing , LI Kezan , DING Yong , ZHU Xiaojing , LI Kezan , DING Yong . Successive Projective Synchronization and Its Application in Secure Communication[J]. Complex Systems and Complexity Science, 2022 , 19(1) : 27 -33 . DOI: 10.13306/j.1672-3813.2022.01.004

References

[1] GU Y Q, HUANG W Q, CHEN T L. Chaotic dynamics in weight space of neural networks[J]. Communications in Theoretical Physics, 1999, 32(2): 247-252.
[2] XU D L, LI Z, BISHOP S R. Manipulating the scaling factor of projective synchronization in three-dimensional chaotic systems[J]. Chaos, 2001, 11(3): 439-442.
[3] ARIANOS S, BOMPARD E, CARBONE A, et al. Power grid vulnerability: a complex network approach[J]. Chaos, 2009, 19(1): 013119.
[4] MUKHERJEE J, RAMAMURTHY B. Communication technologies and architectures for space network and interplanetary internet[J]. IEEE Communications Surveys and Tutorials, 2013, 15(2): 881-897.
[5] CHEE C Y, XU D. Chaos-based m-ary digital communication technique using controlled projective synchronisation[J]. IEE Proceedings-Circuits Devices and Systems, 2006, 153(4): 357-360.
[6] DUA H Y, ZENG Q S, WANG C H, et al. Function projective synchronization in coupled chaotic systems[J]. Nonlinear Analysis: Real World Applications, 2010,11(2): 705-712.
[7] 陆君安. 复杂网络的同步和拓扑结构的识别[J]. 复杂系统与复杂性科学, 2010, 7(2): 19-23.
[8] 汪小帆, 李翔, 陈关荣. 网络科学导论[M]. 北京: 高等教育出版社, 2012.
[9] 陈天平, 卢文联. 复杂网络协调性理论[M]. 北京: 高等教育出版社, 2013.
[10] 张新建, 韦爱举, 李科赞. 具有通信时延的动态网络的相继滞后同步[J]. 中国物理B, 2016, 25(3): 038901.
ZHANG X J, WEI A J, LI K Z. Successive lag synchronization on dynamical networks with communication delay[J]. Chinese Physics B, 2016, 25(3): 038901.
[11] CHEN J, JIAO L, WU J, et al. Projective synchronization with different scale factors in a driven-response complex network and its application in image encryption[J]. Nonlinear Analysis: Real World Applications, 2010, 11(4): 3045-3058.
[12] HSIAO F H. Fuzzy control of dithered chaotic systems via neural-network-based approach[J]. Journal of the Franklin Institute, 2010, 347(7): 1114-1136.
[13] HU G, XIAO J H, GAO J, et al. Analytic study of spatiotemporal chaos control by applying local injections[J]. Physical Review E, 2000, 62(3): 3043-3047.
[14] PAREKH N, PARTHASARATHY S, SINHA S. Global and local control of spatiotemporal chaos in coupled map lattices[J]. Physical Review Letters, 1998, 81(7): 1401-1404.
[15] MAHMOUD G M, ALY S A, FARGHALY A A. On chaos synchronization of a complex two coupled dynamos system[J]. Chaos Solitons and Fractals, 2007, 33(1): 178-187.
[16] 陈关荣. 控制非线性动力系统的混沌现象[J]. 控制理论与应用,1997, 1997(1): 1-6.
CHEN G R. Controlling chaos in nonlinear dynamical systems[J]. Control Theory and Applications, 1997, 1997 (1): 1-6.
[17] PESENSON M Z, PESENSON I Z. Adaptive multiresolution analysis based on synchronization[J]. Physical Review E, 2011, 84(4): 045202.
[18] ZHANG Y X, LI K Z. Successive lag synchronization on nonlinear dynamical networks via aperiodically intermittent control[J]. Nonlinear Dynamics, 2019, 95(4): 3075-3089.
[19] TONG D B, ZHOU W N, ZHOU X H, et al. Exponential synchronization for stochastic neural networks with multi-delayed and Markovian switching via adaptive feedback control[J]. Communications in Nonlinear Science and Numerical Simulation, 2015, 29(1/3): 359-371.
[20] HU M F, YANG Y Q, XU Z Y, et al. Projective synchronization in drive-response dynamical networks[J]. Physica A, 2007, 381(1): 457-466.
[21] ZHENG S, BI Q S, CAI G L. Adaptive projective synchronization in complex networks with time-varying coupling delay[J]. Physics Letters A, 2009, 373(17): 1553-1559.
[22] XU D L, LI Z G. Controlled projective synchronization in nonpartially-linear chaotic systems[J]. International Journal of Bifurcation and Chaos, 2002, 12(6): 1395-1402.
[23] CAI N, JING Y W, ZHANG S Y. Modified projective synchronization of chaotic systems with disturbances via active sliding mode control[J]. Communications in Nonlinear Science and Numerical Simulation, 2010, 15(6): 1613-1620.
[24] CHEN Y, LI X. Function projective synchronization between two identical chaotic systems[J]. International Journal of Modern Physics C, 2007, 18(5): 883-888.
[25] SUN M, ZENG C Y, TIAN L X. Projective synchronization in drive-response dynamical networks of partially linear systems with time-varying coupling delay[J]. Physics Letters A, 2008, 372(46): 6904-6908.
[26] HU M F, XU Z Y. Adaptive feedback controller for projective synchronization[J]. Nonlinear Analysis: Real World Applications, 2008, 9(3): 1253-1260.
[27] 祝晓静, 李科赞, 丁勇. 复杂动力学网络上的基于线性控制下的相继投影同步,桂林电子科技大学学报, 2021, 41(6):510-515.
ZHU X J, LI K Z, DING Y. Successive projective synchronization based on linear control over complex dynamical networks[J]. Journal of Guilin University of Electronic Technology, 2021, 41(6):510-515.
[28] LI D M, LU J, WU X Q, et al. Estimating the ultimate bound and positively invariant set for the Lorenz system and a unified chaotic system[J]. Journal of Mathematical Analysis and Applications, 2006, 323(2): 844-853.
[29] HORN R A, JOHNSON C R. Matrix analysis, Second Edition[M]. New York: Cambridge University Press, 2013.
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