Design of a new multistage chaos synchronized system for secure communications and study on noise perturbation

An, Xinlei; Jiang, Yu; Li, Yinzhen; Chu, Yan-Dong; Zhang, Jiangang; Li, Xianfeng

doi:10.1016/j.mcm.2011.01.020

Cited by 16 publications

(9 citation statements)

References 32 publications

(27 reference statements)

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“…Experimental results are generalized in Figure 11. One can see that nonlinear filtration using the chain of driven oscillators shows the best performance, slightly better than wavelet technique accepted by different researches as suitable for chaotic signals denoising [4,9]. The EMD filtration technique shows best performance for low SNR values.…”

Section: Resultsmentioning

confidence: 91%

“…Therefore, only relatively complex techniques are feasible for chaotic signal denoising. These approaches include noise reduction methods via a deterministic optimization technique [8], wavelet denoising [9], hidden Markov model approach [10], and the usage of Kalman filter for noisy state variables estimation [11]. Nevertheless, no generally accepted technique is known to date, and practical comparisons of these approaches are fragmentary and scarce.…”

Section: Introductionmentioning

confidence: 99%

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Filtering Techniques for Chaotic Signal Processing

et al. 2018

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The vulnerability of chaotic communication systems to noise in transmission channel is a serious obstacle for practical applications. Traditional signal processing techniques provide only limited possibilities for efficient filtering broadband chaotic signals. In this paper, we provide a comparative study of several denoising and filtering approaches: a recursive IIR filter, a median filter, a wavelet-based denoising method, a method based on empirical modes decomposition, and, finally, propose the new filtering algorithm based on the cascade of driven chaotic oscillators. Experimental results show that all the considered methods make it possible to increase the permissible signal-to-noise ratio to provide the possibility of message recognition, while the new proposed method showed the best performance and reliability.

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Section: Resultsmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Filtering Techniques for Chaotic Signal Processing

et al. 2018

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“…Later on, many chaotic systems were discovered, such as the Chen system, the Lu system, the Chua system, and so forth. Given the wide spectrum of applications of chaos phenomena in various fields of science including secure communications (An et al, 2012; Durdu and Turan Özcerit, 2015; Wang and Dong, 2015; Wang et al, 2016; Xiong et al, 2016) that one of the important aspects in information exchange is security and protection. In this communication, chaotic systems can be used to increase security of exchanged information.…”

Section: Introductionmentioning

confidence: 99%

Parameter estimation and synchronization of hyper chaotic Lu system with disturbance input and uncertainty using two under-actuated control signals

Sabaghian

Balochian

2018

Transactions of the Institute of Measurement and Control

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In this paper, synchronization of two hyper chaotic Lu systems with unknown factors, such as uncertainty and disturbance, and less control signals with respect to system’s dimensions by applying an adaptive sliding mode controller is presented. In this research, firstly, an integral sliding mode controller is designed for synchronization of two hyper chaotic Lu systems with known parameters. Secondly, a controller is used to synchronize two hyper chaotic Lu systems with unknown parameters; in this case, unknown parameters are estimated using an adaptive rule. As a measure of performance, stability of the proposed control method is proved using the Lyapunov stability method. Numerical simulations validate the stabilization and synchronization.

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“…Over the past two decades, a large number of researches regarding chaotic systems and their related applications have successively been proposed and developed. One of them is about the chaotic secure communication [1][2][3][4][5][6][7][8][9][10][11][12]. Chaos synchronization that was initially proposed by Pecora and Carroll in [13] is the important factor to achieve the security.…”

Section: Introductionmentioning

confidence: 99%

Chaotic Secure Communication Systems with an Adaptive State Observer

Chang

Shih

Chen

2015

Journal of Control Science and Engineering

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This paper develops a new digital communication scheme based on using a unified chaotic system and an adaptive state observer. The proposed communication system basically consists of five important elements: signal modulation, chaotic encryption, adaptive state observer, chaotic decryption, and signal demodulation. A sequence of digital signals will be delivered from the transmitter to the receiver through a public channel. It is rather reasonable that if the number of signals delivered on the public channel is fewer, then the security of such communication system is more guaranteed. Therefore, in order to achieve this purpose, a state observer will be designed and its function is to estimate full system states only by using the system output signals. In this way, the signals delivered on the public channel can be reduced mostly. According to these estimated state signals, the original digital sequences are then retrieved completely. Finally, experiment results are provided to verify the applicability of the proposed communication system.

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Design of a new multistage chaos synchronized system for secure communications and study on noise perturbation

Cited by 16 publications

References 32 publications

Filtering Techniques for Chaotic Signal Processing

Filtering Techniques for Chaotic Signal Processing

Parameter estimation and synchronization of hyper chaotic Lu system with disturbance input and uncertainty using two under-actuated control signals

Chaotic Secure Communication Systems with an Adaptive State Observer

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