Observer-based synchronization of memristive neural networks under DoS attacks and actuator saturation and its application to image encryption

Zhou, Chao; Wang, Chunhua; Yao, Wei; Lin, Hairong

doi:10.1016/j.amc.2022.127080

Cited by 44 publications

(20 citation statements)

References 57 publications

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“…Du et al derived a criterion for finite-time synchronization of fractional order memristor-based neural networks with time delay 38 . Wang et al proposed a memristive synapse control method for designing multi-structure chaotic attractors and investigated the synchronization issue of memristive neural networks via an aobserver-based controller 39,40 .…”

Section: Dynamical Behaviors Circuit Design and Synchronization Of A ...mentioning

confidence: 99%

Dynamical behaviors, circuit design, and synchronization of a novel symmetric chaotic system with coexisting attractors

Qiu

Jiang

et al. 2023

Sci Rep

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In this paper, we introduce a novel three-dimension chaotic system with strange characteristic by applying construction of a 3D chaotic circuit method. Multiple equilibria and abundant coexisting attractors exist in this system. A mathematical model is developed and detailed stability analyses for equilibrium points are executed with obtaining significant results of the period-doubling bifurcation patterns confirmed by phase plane plots and Lyapunov exponent spectra. By varying the initial value and unique controlled parameter, the double-scroll chaotic attractor is broken up into a pair of symmetric singular attractors. Then, the local basins of attraction are investigated concerning the initial condition. Next, the circuit synthesis results generated by Multisim simulation tool validate the self-excitation characteristics of this system. Finally, the feedback control technique is used to study difference synchronization of this system. Main conclusions prove the validity and reliability of difference synchronization.

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Section: Dynamical Behaviors Circuit Design and Synchronization Of A ...mentioning

confidence: 99%

Dynamical behaviors, circuit design, and synchronization of a novel symmetric chaotic system with coexisting attractors

Qiu

Jiang

et al. 2023

Sci Rep

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“…Neural networks for the encryption of medical images emerged [41][42][43], with some remarkable characteristics:…”

Section: Introductionmentioning

confidence: 99%

Biomedical Image Encryption with a Novel Memristive Chua Oscillator Embedded in a Microcontroller

et al. 2023

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In this paper, a chaos-based encryption/decryption scheme using a novel memristive Chua oscillator to protect medical images is presented. The novel Chua oscillator is constructed by using the active voltage memristor in the nonlinear branch of the Chua oscillator. The chaotic dynamics behaviors are investigated using 1-D, 2-D bifurcation diagrams, time traces, basin of attractions, and largest Lyapunov exponent plot. The study reveals that the novel memristive Chua oscillator exhibits versatile transitions to chaos with interesting dynamics like multistability, spiking, and bursting oscillations just to name a few. These remarkable features are experimentally confirmed by a laboratory microcontroller-based setup. Thereafter, a chaos-based cryptography algorithm designed for biomedical images is built using pseudorandom number generated from the oscillator. The robustness and security tests undergone by the algorithm yielded high sensitivity on the encryption keys and resisted noise contamination as well as data loss. These results are encouraging and prove that the chaos-based cryptosystem built with the memristive Chua circuit-generated pseudorandom number is suitable for securing images in a healthcare system.

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“…The most outstanding characteristic of memristor is nanoscale dimensions, nonvolatile, low power and multi-state programming, thus the early application research of the memristor is nonvolatile memory [3][4][5]. With the development of research, the application has been extended to neuromorphic network [6] and chaotic circuit design [7,8]. Especially in the design of logic circuits, the memristor can realize the processing in memory (PIM) architecture, and is considered to be one of the most promising candidate technologies to break through the von Neumann bottleneck [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Memristive Alternating Crossbar Array and The Design of Full Adder

Ming

Sun

Wang

et al. 2023

Preprint

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Memristor is one of the most promising emerging technology to solve the von Neumann bottleneck problem due to its non-volatile and binary characteristics. This paper studies the design method of high efficiency logic circuit based on memristor. First, a Multiple Input Multiple Output (MIMO) logic circuit design scheme based on IMPLY and AND logic is proposed, which can derive multiple new efficient logic operation methods, and complete complex logic with fewer steps and memristors. Second, in order to perform rapid interactive operations between different rows, an alternating crossbar array structure is designed, which can quickly complete cross-row logic operations. Finally, a high-efficient Full Adder (FA) based on MIMO logic and alternating crossbar array is proposed. To accomplish 32-bit add operation, the proposed FA needs 160 memristors and only 41 steps. Compared with the state of art FA, our work has faster execution speed and fewer memristors.

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Observer-based synchronization of memristive neural networks under DoS attacks and actuator saturation and its application to image encryption

Cited by 44 publications

References 57 publications

Dynamical behaviors, circuit design, and synchronization of a novel symmetric chaotic system with coexisting attractors

Dynamical behaviors, circuit design, and synchronization of a novel symmetric chaotic system with coexisting attractors

Biomedical Image Encryption with a Novel Memristive Chua Oscillator Embedded in a Microcontroller

An Efficient Memristive Alternating Crossbar Array and The Design of Full Adder

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