Fractional-order double-ring erbium-doped fiber laser chaotic system and its application on image encryption

Li, Xuejun; Mou, Jun; Li, Xiong; Wang, Zhisen; Ji, Xu

doi:10.1016/j.optlastec.2021.107074

Cited by 111 publications

(49 citation statements)

References 48 publications

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“…In recent years, image and video encryption based on chaotic system has been widely studied and applied [51][52][53][54][55][56]. As the main application of chaotic system, PRNG has been paid more and more attention in the field of image encryption [57][58][59].…”

Section: Design and Implementation Of Image Encryption And Decryption System Based On Prngmentioning

confidence: 99%

Design and FPGA Implementation of a Pseudo-random Number Generator Based on a Hopfield Neural Network Under Electromagnetic Radiation

Zhang

Shen

et al. 2021

Front. Phys.

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When implementing a pseudo-random number generator (PRNG) for neural network chaos-based systems on FPGAs, chaotic degradation caused by numerical accuracy constraints can have a dramatic impact on the performance of the PRNG. To suppress this degradation, a PRNG with a feedback controller based on a Hopfield neural network chaotic oscillator is proposed, in which a neuron is exposed to electromagnetic radiation. We choose the magnetic flux across the cell membrane of the neuron as a feedback condition of the feedback controller to disturb other neurons, thus avoiding periodicity. The proposed PRNG is modeled and simulated on Vivado 2018.3 software and implemented and synthesized by the FPGA device ZYNQ-XC7Z020 on Xilinx using Verilog HDL code. As the basic entropy source, the Hopfield neural network with one neuron exposed to electromagnetic radiation has been implemented on the FPGA using the high precision 32-bit Runge Kutta fourth-order method (RK4) algorithm from the IEEE 754-1985 floating point standard. The post-processing module consists of 32 registers and 15 XOR comparators. The binary data generated by the scheme was tested and analyzed using the NIST 800.22 statistical test suite. The results show that it has high security and randomness. Finally, an image encryption and decryption system based on PRNG is designed and implemented on FPGA. The feasibility of the system is proved by simulation and security analysis.

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Section: Design and Implementation Of Image Encryption And Decryption System Based On Prngmentioning

confidence: 99%

Design and FPGA Implementation of a Pseudo-random Number Generator Based on a Hopfield Neural Network Under Electromagnetic Radiation

Zhang

Shen

et al. 2021

Front. Phys.

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“…Setting the initial value of system (1) (x 0 , y 0 , z 0 )=(0,1,0) and system parameter c=1, b=0.01. Parameter a is the variable parameter, and the varying range is [11,15]. As shown in Fig.…”

Section: A Enhanced Chaos In the Dynamic Behaviormentioning

confidence: 99%

“…The original chaotic system of infinitely many equilibrium points or switchable equilibrium point has the ability to generate infinitely many coexisting attractors [9], [10]. Recently, another better method for constructing the system with extremely multistability was found, the initial-offset boosted attractors of infinitely many coexistence can be obtained by introducing the trigonometric functions to some specific linear terms of chaotic system [11]- [13]. The chaotic system which has infinitely many coexisting attractors depends extremely on the initial state.…”

Section: Introductionmentioning

confidence: 99%

Generating Infinitely Many Coexisting Attractors via a New 3D Cosine System and Its Application in Image Encryption

Liu

Chen

2021

IEEE Access

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In this paper, a new third-order chaotic system which has extremely multistability is constructed by introducing the boosted control of cosine function. In comparison with other chaotic systems of extremely multistability, the proposed chaotic system can spontaneously generate the infinitely many coexisting attractors towards two directions of the phase plane. It indicates the proposed system can output more chaotic sequences of different amplitudes at the same time. This peculiar physical phenomena is very interesting and worth studying. Relative to original chaotic system, the chaos characteristic of the proposed system is obviously enhanced, the value of max Lyapunov exponent is increased significantly and the complexity value was higher. In particular, many periodic windows of the original chaotic system become chaos. It means the proposed chaotic system has better chaotic characteristics. If the new system is applied to the field of cryptography, it would be a better system model as a pseudo-random signal generator (PRSG). Then, the new image encryption algorithm is designed based on the proposed discrete system, and its safety performance is tested. The experimental results demonstrate the feasibility of its application in the field of cryptography.

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“…New image encryption algorithms, especially chaos-based encryption algorithms, are under increasingly investigation. Lorentz discovered chaotic attractors in 1963, and in 1997, Fridrich first applied chaotic systems to digital image encryption 5 – 8 . Chaotic systems are widely used in image encryption and have become a hot research topic in the field of secure communication because of their sensitivity to initial values and irregular internal random motion in deterministic systems 1 , 9 – 16 .…”

Section: Introductionmentioning

confidence: 99%

A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion

Gao

Banerjee

et al. 2021

Sci Rep

Self Cite

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A multi-image encryption scheme based on the fractional-order hyperchaotic system is designed in this paper. The chaotic characteristics of this system are analyzed by the phase diagram, Lyapunov exponent and bifurcation diagram. According to the analyses results, an interesting image encryption algorithm is proposed. Multiple grayscale images are fused into a color image using different channels. Then, the color image is scrambled and diffused in order to obtain a more secure cipher image. The pixel confusion operation and diffusion operation are assisted by fractional hyperchaotic system. Experimental simulation and test results indicate that the devised multi-image encryption scheme can effectively encrypt multiple images, which increase the efficiency of image encryption and transmission, and have good security performance.

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Fractional-order double-ring erbium-doped fiber laser chaotic system and its application on image encryption

Cited by 111 publications

References 48 publications

Design and FPGA Implementation of a Pseudo-random Number Generator Based on a Hopfield Neural Network Under Electromagnetic Radiation

Design and FPGA Implementation of a Pseudo-random Number Generator Based on a Hopfield Neural Network Under Electromagnetic Radiation

Generating Infinitely Many Coexisting Attractors via a New 3D Cosine System and Its Application in Image Encryption

A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion

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