Secure Communication Systems Based on the Synchronization of Chaotic Systems

Bendoukha, Samir; Abdelmalek, Salem; Ouannas, Adel

doi:10.1007/978-3-030-12232-4_9

Cited by 20 publications

(10 citation statements)

References 105 publications

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“…Despite being chaotic, tracking the trajectory is possible using the principle of control theory [7]. This has occasioned applications in secure communication [8], random number synthesis [9], robotics [10], and so on. Although early on chaotic systems were used in the study of population [11], weather [12] and economic [13] models, they have in recent years, been applied to science and engineering products [14,15].…”

Section: Background On Chaos and Controlmentioning

confidence: 99%

FPGA prototyping of synchronized chaotic map for UAV secure communication

Nwachioma,

Ezuma,

Medaiyese

2021

Preprint

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Section: Background On Chaos and Controlmentioning

confidence: 99%

FPGA prototyping of synchronized chaotic map for UAV secure communication

Nwachioma,

Ezuma,

Medaiyese

2021

Preprint

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“…Applications of digital telecommunications can be seen in all aspects of daily life and all industries including medicine and education, as well as social interactions [ 1 ]. Hence, there is a need to have secure communication.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, there is a need to have secure communication. To do this, many cryptography methods have been introduced, mainly encoding the data from the sender and decoding them at the receiver [ 1 ]. Cryptographical methods are based on various schemes, and a number of related papers have been published in this field [ 2 , 3 , 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication

Javan

Shoeibi

Zare

et al. 2021

Sensors

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In this paper, the multi-state synchronization of chaotic systems with non-identical, unknown, and time-varying delay in the presence of external perturbations and parametric uncertainties was studied. The presence of unknown delays, unknown bounds of disturbance and uncertainty, as well as changes in system parameters complicate the determination of control function and synchronization. During a synchronization scheme using a robust-adaptive control procedure with the help of the Lyapunov stability theorem, the errors converged to zero, and the updating rules were set to estimate the system parameters and delays. To investigate the performance of the proposed design, simulations have been carried out on two Chen hyper-chaotic systems as the slave and one Chua hyper-chaotic system as the master. Our results showed that the proposed controller outperformed the state-of-the-art techniques in terms of convergence speed of synchronization, parameter estimation, and delay estimation processes. The parameters and time delays were achieved with appropriate approximation. Finally, secure communication was realized with a chaotic masking method, and our results revealed the effectiveness of the proposed method in secure telecommunications.

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“…Regarding synchronization methods, applications of secure communications in the literature include chaotic masking (Aromataris and Annovazzi-Lodi, 2013), chaotic modulation (Bendoukha et al, 2019), and chaotic encryption (Li and Wu, 2018).…”

Section: Introductionmentioning

confidence: 99%

A new approach for security of wireless sensor networks based on anti-synchronization of the fractional-order hyper-chaotic system

Kaheni

Yaghoobi

2020

Transactions of the Institute of Measurement and Control

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Chaotic systems have wide applications in secure communication engineering and cryptography. In this paper, improved nonlinear predictive control with whale algorithm for anti-synchronization of a fractional-order economic hyper-chaotic system is used for increasing the security of wireless sensor networks and preventing intrusion. By chaotic masking method and the T-S fuzzy model, the message signal is encoded at the wireless sensor side and it is placed along the transmitter route. In the central station, the message signal is decoded using the T-S fuzzy model and the predictive control by anti-synchronizing the fractional-order hyper-chaotic slave system. To reduce the effect of disturbances, a sign function of error is added to the predictive control. Finally, simulation results indicate the proper performance of the proposed nonlinear predictive control for anti-synchronizing the fractional-order hyper-chaotic systems in secure communications.

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Secure Communication Systems Based on the Synchronization of Chaotic Systems

Cited by 20 publications

References 105 publications

FPGA prototyping of synchronized chaotic map for UAV secure communication

FPGA prototyping of synchronized chaotic map for UAV secure communication

Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication

A new approach for security of wireless sensor networks based on anti-synchronization of the fractional-order hyper-chaotic system

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