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Bidirectional digital image secure transmission and recognition based on a long-distance chaos synchronization system with machine learning capability

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Abstract

Based on chaos synchronization of two response lasers (RLs) injected by the common chaos signals from a driving laser (DL) with double optical feedback (DOF) and an additional neural network (NN), a bidirectional chaotic secure communication system with machine learning capability is proposed and the long-distance digital image transmission and recognition performances are numerically investigated. The simulated results show that the time delay signature (TDS) of the driving chaotic signals from DL with DOF is greatly weakened under suitable operation conditions. Two RLs can generate chaos signals with low TDS and broad bandwidth, and the high-quality chaos synchronization between two RLs can be achieved while the synchronization quality between DL and any one of RLs is extremely bad, which is helpful to realize the secure communication. Using the synchronized chaos output signals from two RLs as chaos carriers and chaos masking (CM) encoding method, the bidirectional 10 Gb/s secure communication over 140 km fiber channel can be realized and the effects of the fiber parameters on the communication performances are discussed. After adopting an additional NN, a long-distance digital image transmission and recognition based on this proposed secure communication system can be realized and the communication distance can be extended to 220 km.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grants 61775184 and 61875167, in part by the Natural Science Foundation of Chongqing City under Grant 2019jcyj-msxm X0136, and in part by the Fundamental Research Funds for the Central Universities of China under Grant XDJK2020B053.

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Authors and Affiliations

  1. School of Physical Science and Technology, Southwest University, Chongqing, 400715, China

    Ning Li, Zhengmao Wu, Xiaodong Lin, Xi Tang, Guangqiong Xia & Tao Deng

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  1. Ning Li
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  2. Zhengmao Wu
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  3. Xiaodong Lin
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  4. Xi Tang
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  5. Guangqiong Xia
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  6. Tao Deng
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Correspondence to Tao Deng.

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Li, N., Wu, Z., Lin, X. et al. Bidirectional digital image secure transmission and recognition based on a long-distance chaos synchronization system with machine learning capability. Nonlinear Dyn 104, 2745–2758 (2021). https://doi.org/10.1007/s11071-021-06391-6

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  • DOI: https://doi.org/10.1007/s11071-021-06391-6

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