A 5-D Multi-Stable Hyperchaotic Two-Disk Dynamo System With No Equilibrium Point: Circuit Design, FPGA Realization and Applications to TRNGs and Image Encryption

Vaidyanathan, Sundarapandian; Sambas, Aceng; Abd-El-Atty, Bassem; El‐Latif, Ahmed A. Abd; Tlelo‐Cuautle, Esteban; Guillén-Fernández, Omar; Mamat, Mustafa; Mohamed, Mohamad Afendee; Alçın, Murat; Tuna, Murat; Pehlivan, İ̇hsan; Koyuncu, İ̇smail; Ibrahim, Mohd Asrul Hery

doi:10.1109/access.2021.3085483

Cited by 40 publications

(17 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thanks to many significant properties like inherent randomness, high sensitivity, and unpredictability, chaotic systems have been broadly employed in designing image cryptosystems [32]- [34]. Generally, the hyperchaotic systems have a large secret keyspace and good sensitivity, and its dynamics is more complex than that of the general chaotic system [35]. Furthermore, systems with initial-boosted coexisting behaviors have become potential candidates for chaos applications compared to chaotic systems without coexisting attractors due to their high sensitivity.…”

Section: Application In Biomedical Image Encryptionmentioning

confidence: 99%

Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption

Lin

Wang

Cui

et al. 2022

IEEE Trans. Ind. Inf.

173

View full text Add to dashboard Cite

Neural networks have been widely and deeply studied in the field of computational neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics have not been noticed yet. This paper focuses on the coupled neural network-based brain-like initial boosting coexisting hyperchaos and its application in biomedical image encryption. We first construct a memristive coupled neural network (MCNN) model based on two sub-neural networks and one multistable memristor synapse. Then we investigate its coupling strength-related dynamical behaviors, initial states-related dynamical behaviors, and initial-boosted coexisting hyperchaos using bifurcation diagrams, phase portraits, Lyapunov exponents and attraction basins. The numerical results demonstrate that the proposed MCNN can not only generate hyperchaotic attractors with high complexity but also boost the attractor positions by switching their initial states. This makes the MCNN more suitable for many chaos-based engineering applications. Moreover, we design a biomedical image encryption scheme to explore the application of the MCNN. Performance evaluations show that the designed cryptosystem has several advantages in the keyspace, information entropy, and key sensitivity. Finally, we develop a field-programmable gate array (FPGA) test platform to verify the practicability of the presented MCNN and the designed medical image cryptosystem.

show abstract

Section: Application In Biomedical Image Encryptionmentioning

confidence: 99%

Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption

Lin

Wang

Cui

et al. 2022

IEEE Trans. Ind. Inf.

173

View full text Add to dashboard Cite

show abstract

“…Of great interest is the modeling of nonlinear dynamic systems using various software environments, which makes it possible to demonstrate various informational properties of chaotic oscillations. To simulate a chaotic system (20) and demonstrate the results, we use the LabView software environment. LabView is a graphical software platform that is now very widely used in engineering applications [28].…”

Section: Labview Modelmentioning

confidence: 99%

“…For the development of algorithms in LabView, a visual platform has been created. Figure 11 shows a block diagram of the chaotic system (20). This model is created using Сontrol & Simulation toolbox in LabView.…”

Section: Labview Modelmentioning

confidence: 99%

“…Electronic generators of chaos immediately appeared based on Rössler equations [5,6], Rikitake equations [7], modified Lorentz equations [8][9][10][11], Rucklidge equations [12]. Recently, new systems with hyperchaotic oscillations have been developed such as Liu systems [13][14], Chen systems [15] and new modifications of the Lorentz equations [16][17] and Rikitake equations [18][19][20]. The book [21] is devoted to an overview of chaos generators based on circuit simulation using the Multisim package.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Computer Modelling and Circuit Design of a new 8D Chaotic System

Kopp¹,

Kopp²

2022

Preprint

View full text Add to dashboard Cite

In this paper, Matlab-Simulink and LabView models are constructed for a new nonlinear dynamic system of equations in an eight-dimensional (8D) phase space. For fixed parameters of the 8D dynamical system, the spectrum of Lyapunov exponents and the Kaplan-York dimension are calculated. The presence of two positive Lyapunov exponents demonstrates the hyperchaotic behavior of the 8D dynamical system. The fractional Kaplan-York dimension indicates the fractal structure of strange attractors. We have shown that an adaptive controller is used to stabilize the novel 8D chaotic system with unknown system parameters. An active control method is derived to achieve global chaotic synchronization of two identical novel 8D chaotic systems with unknown system parameters. Based on the results obtained in Matlab-Simulink and LabView models, a chaotic signal generator for the 8D chaotic system is implemented in the Multisim environment. The results of chaotic behavior simulation in the Multisim environment show similar behavior when comparing simulation results in Matlab-Simulink and LabView models.

show abstract

“…Chaotic systems generate complex signals with a random appearance, which are used to conceal the secret information to be communicated. As a result, many literature have studied the chaotic systems, so as to address the huge gap for the type of complicated system in the disciplines of chaotic encryption and secure communication [ 19 , 20 ]. Nazari et al [ 21 ] proposed secure transmission of authenticated medical images using a novel chaotic IWT-LSB blind watermarking approach.…”

Section: Introductionmentioning

confidence: 99%

A new 10-D hyperchaotic system with coexisting attractors and high fractal dimension: Its dynamical analysis, synchronization and circuit design

Benkouider

Bouden

Sambas³

et al. 2022

PLoS ONE

Self Cite

View full text Add to dashboard Cite

This work introduce a new high dimensional 10-D hyperchaotic system with high complexity and many of coexisting attractors. With the adjustment of its parameters and initial points, the novel system can generate periodic, quasi-periodic, chaotic, and hyperchaotic behaviours. For special values of parameters, we show that the proposed 10-D system has a very high Kaplan-Yorke fractal dimension, which can reach up to 9.067 indicating the very complexity of the 10-D system dynamics. In addition, the proposed system is shown to exhibit at least six varied attractors for the same values of parameters due to its multistability. Regions of multistability are identified by analysing the bifurcation diagrams of the proposed model versus its parameters and for six different values of initial points. Many of numerical plots are given to show the appearance of different dynamical behaviours and the existence of multiple coexisting attractors. The main problem with controlling chaos/hyperchaos systems is that they are not always fully synchronized. therefore, some powerful synchronization techniques should be considered. The synchronization between the high-dimensional 10-D system and a set of three low-dimensional chaotic and hyperchaotic systems is proposed. Ten control functions are designed using the active control method, ensuring synchronisation between the collection of systems and the 10-D hyperchaotic system. Finally, using Multisim 13.0 software to construct the new system’s electronic circuit, the feasibility of the new system with its extremely complicated dynamics is verified. Therefore, the novel 10-D hyperchaotic system can be applied to different chaotic-based application due to its large dimension, complex dynamics, and simple circuit architecture.

show abstract

A 5-D Multi-Stable Hyperchaotic Two-Disk Dynamo System With No Equilibrium Point: Circuit Design, FPGA Realization and Applications to TRNGs and Image Encryption

Cited by 40 publications

References 44 publications

Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption

Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption

Computer Modelling and Circuit Design of a new 8D Chaotic System

A new 10-D hyperchaotic system with coexisting attractors and high fractal dimension: Its dynamical analysis, synchronization and circuit design

Contact Info

Product

Resources

About