Synchronized Laser Chaos Communication: Statistical Investigation of an Experimental System

Lawrance, A. J.; Papamarkou, Theodore; Uchida, Atsushi

doi:10.1109/jqe.2017.2657331

Cited by 20 publications

(4 citation statements)

References 21 publications

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“…(14) decreases greatly. If there is no need to transmit S(t), then in the space laser communication channel, it is necessary to transmit a very small amount of error correction signal in digital form to achieve the synchronization of the chaotic system [9]. The design scheme is shown in Fig.…”

Section: 2mentioning

confidence: 99%

Optical chaotic secure algorithm based on space laser communication

Guo¹,

Lu²

2019

Discrete &Amp; Continuous Dynamical Systems - S

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Section: 2mentioning

confidence: 99%

Optical chaotic secure algorithm based on space laser communication

Guo¹,

Lu²

2019

Discrete &Amp; Continuous Dynamical Systems - S

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“…The incorporation of machine learning based approaches into the field of communication is of great significance [1][2][3]. The reservoir computing (RC), as a new kind of recurrent neural network (RNN) [4], is deemed as a best-in-class machine learning platform for processing data generated by various types of dynamical systems [5][6][7][8][9][10]. Specifically, the explicit expression between memory capacity and forecasting ability of a recurrent network including RC was studied.…”

Section: Introductionmentioning

confidence: 99%

A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication

et al. 2022

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In this work, a high efficient next generation reservoir computing (HENG-RC) paradigm that adopts the principle of local states correlation and attention mechanism is proposed, which is able to process dynamical information generated by both the low dimensional and very large spatiotemporal chaotic systems (VLSCS). From a dynamical system perspective, the dynamical characteristics such as density distribution, Poincaré plots and max Lyapunov exponents of the proposed HENG-RC are studied. It is revealed that the trained model can be seen as a data-driven chaotic system. Furthermore, a novel scheme of secure communication based on chaotic synchronization of two HENG-RC systems is designed, of which the security is enhanced as the intruder needs to know simultaneously the training signal and details of the parameter setting in the HENG-RC. The digital implementation using field programmable gate array is experimentally realised, proving the feasibility of the secure communication scheme.

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“…It is well known that the chaos synchronization plays a vital role for realizing secure communication [21][22][23][24]. In conventional scheme of chaos-based secure communication, the receiver is somehow demanded to equip a chaotic system (responser) identical to the one (driver) used for encryption in the transmitter, or a very complicated coupling between the driver and responser (in the case that driver and responser use different types of dynamical systems) needs to be well-designed [25,26].…”

mentioning

confidence: 99%

Chain-structure time-delay reservoir computing for synchronizing chaotic signal and an application to secure communication

Jin

Liu

2022

EURASIP J. Adv. Signal Process.

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In this work, a chain-structure time-delay reservoir (CSTDR) computing, as a new kind of machine learning-based recurrent neural network, is proposed for synchronizing chaotic signals. Compared with the single time-delay reservoir, our proposed CSTDR computing shows excellent performance in synchronizing chaotic signal achieving an order of magnitude higher accuracy. Noise consideration and optimal parameter setting of the model are discussed. Taking the CSTDR computing as the core, a novel scheme of secure communication is further designed, in which the “smart” receiver is different from the traditional in that it can synchronize to the chaotic signal used for encryption in an adaptive manner. The scheme can solve the issues such as design constrains for identical dynamical systems and couplings between transmitter and receiver in conventional settings. To further manifest the practical significance of the scheme, the digital implementation using field-programmable gate array is conducted and tested experimentally with real-world examples including image and video transmission. The work sheds light on developing machine learning-based signal processing and communication applications.

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Synchronized Laser Chaos Communication: Statistical Investigation of an Experimental System

Cited by 20 publications

References 21 publications

Optical chaotic secure algorithm based on space laser communication

Optical chaotic secure algorithm based on space laser communication

A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication

Chain-structure time-delay reservoir computing for synchronizing chaotic signal and an application to secure communication

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