FPGA implementation and image encryption application of a new PRNG based on a memristive Hopfield neural network with a special activation gradient

Yu, Fei; Zhang, Zi‐Nan; Shen, Hui; Huang, Yuanyuan; Cai, Shuo; Du, Sichun

doi:10.1088/1674-1056/ac3cb2

Cited by 72 publications

(37 citation statements)

References 67 publications

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“…Due to the introduction of chaotic dynamics, CNN has more dynamic characteristics. The complex dynamic characteristics of CNN make it widely used in information processing, algorithm optimization, image encryption and random number generators [17][18][19][20][21], etc.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis and Audio Encryption Application in IoT of a Multi-Scroll Fractional-Order Memristive Hopfield Neural Network

Chen

et al. 2022

Fractal Fract

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Fractional-order chaotic systems are widely used in the field of encryption because of its initial value sensitivity and historical memory. In this paper, the fractional-order definition of Caputo is introduced based on a nonideal flux-controlled memristive Hopfield neural network model, when changing the parameters of the fractional-order memristive Hopfield neural network (FMHNN) can generate a different amount of multi-scroll attractors. Some dynamical behaviors are investigated by numerical simulation, especially analyzed coexistence and bifurcation under different orders and different coupling strengths. The results show that the chaotic system of FMHNN has abundant dynamic behaviors. In addition, a chaotic audio encryption scheme under a Message Queueing Telemetry Transport (MQTT) protocol is proposed and implemented by Raspberry Pi; the audio encryption system based on FMHNN has a broad future in intelligent home and other IoT applications.

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Section: Introductionmentioning

confidence: 99%

Dynamic Analysis and Audio Encryption Application in IoT of a Multi-Scroll Fractional-Order Memristive Hopfield Neural Network

Chen

et al. 2022

Fractal Fract

Self Cite

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“…With the development of the chaos theory, the fusion of chaotic system and cryptography has become an important solution to ensure image security [28][29][30][31][32]. Based on the chaotic systems, many image encryption schemes are designed by optical transformation [33,34], compressive sensing [35], DNA and RNA computing [36][37][38][39][40][41], cellular automata [42], etc.…”

Section: Introductionmentioning

confidence: 99%

A Novel 3D Image Encryption Based on the Chaotic System and RNA Crossover and Mutation

Chu

Zhang

Gao³

2022

Front. Phys.

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In this paper, a novel 3D image encryption based on the memristive chaotic system and RNA crossover and mutation is proposed. Firstly, the dynamic characteristics of the nonlinear system with two memristors are analyzed, including phase diagrams, Lyapunov exponential spectrums, and bifurcation diagrams. According to the merged image of three 3D images, the initial values of the memristive chaotic system are generated by SHA-256. Then the vertex coordinates are scrambled and diffused by 3D Arnold matrix and chaotic sequences. Finally, according to the dynamical encoding and decoding rules, crossover and RNA mutation are designed to confuse and diffuse the vertex coordinates. Throughout the encryption process, the Arnold matrix, RNA encoding and decoding rules, and crossover and mutation algorithms are determined by the memristive chaotic system. The experimental results verify that the proposed cryptosystem could encrypt three 3D images at the same time and resist various attacks effectively, and has good security performance.

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“…Chaos is a complex nonlinear phenomenon with special dynamical properties, and various chaotic systems are found and widely used in the fields of electronic communication systems, control systems, and so on [1][2][3][4][5][6]. Chaotic circuits have become an important tool for studying chaos theory due to easy observation.…”

Section: Introductionmentioning

confidence: 99%

Coexistence of Multiple Attractors in a Novel Simple Jerk Chaotic Circuit With CFOAs Implementation

Wang

Tian

et al. 2022

Front. Phys.

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A novel, simple Jerk chaotic circuit with three current feedback operational amplifiers included (CFOA-JCC) is proposed, which has a simpler circuit structure, fewer components, but higher frequency characteristics. The dynamic behaviors of CFOA-JCC are analyzed, including equilibrium, stability, Lyapunov exponent, bifurcation diagram, offset boosting, and phase diagram. Furthermore, the frequency spectrum characteristic of the ordinary op-amps Jerk chaotic circuit was compared with CFOA-JCC under the same circuit parameters, and the chaotic attractor frequency of CFOA-JCC can reach about 650 kHz, much better than that of ordinary op-amps (12 kHz). Numerical simulation shows that CFOA-JCC has coexisting attractors, verified by hardware circuit experiments.

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FPGA implementation and image encryption application of a new PRNG based on a memristive Hopfield neural network with a special activation gradient

Cited by 72 publications

References 67 publications

Dynamic Analysis and Audio Encryption Application in IoT of a Multi-Scroll Fractional-Order Memristive Hopfield Neural Network

Dynamic Analysis and Audio Encryption Application in IoT of a Multi-Scroll Fractional-Order Memristive Hopfield Neural Network

A Novel 3D Image Encryption Based on the Chaotic System and RNA Crossover and Mutation

Coexistence of Multiple Attractors in a Novel Simple Jerk Chaotic Circuit With CFOAs Implementation

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