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

Kitio, Gabin Jeatsa; Fanda, Alain Djomo; Feulefack, Idriss Rochinel Kemlenack; Pone, Justin Roger Mboupda; Kengne, Romanic; Tiedeu, Alain

doi:10.1007/s13538-023-01268-y

Cited by 9 publications

(5 citation statements)

References 102 publications

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“…The proposed system is chaotic when b is within A: -2.8, 2. 6 [ ]and then the system enters to quasi-periodic state for b within B: 2.601, 2.775 , [ ] after that for b in C: 2.776, 4 , [ ] the system (2) shows the stable nature. In this chaotic region, the number of 3D multi-scrolls varies with different values of b as in the previous case.…”

Section: Analysis Of Bursting Characteristicsmentioning

confidence: 99%

“…Due to its complex characteristics, the chaotic system has several applications in medicine [1], biological science [2], geology [3], physics [4], secure information encryption [5,6], pseudo-random number generation [7], noise removal [8] etc The generation of multi-scroll or multi-wing attractors is a promising way to increase the complexity of the chaotic systems, which also influences the generation of many random keys. This complexity can be utilized by observing the shifting nature of the chaotic system from one scroll to another scroll in the phase trajectory [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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A physical memristor-based chaotic system and its application in colour image encryption scheme

Das,

Mandal

2023

Phys. Scr.

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This work proposes a physical memristor (TaOx) based new 4D chaotic system with 3D multi-scroll, no equilibrium point, spiking behaviour, coexistence bursting oscillation and multistability. Using this physical memristor-based chaotic system, a novel and efficient colour image encryption algorithm has been developed using a unique box scrambling method and bit-wise XOR operations. Many interesting and new dynamics of a material-based memristive chaotic system are reported here, like 3D multi-scroll chaotic attractors, bursting characteristics, multistability, a neuronal system like spiking behaviours etc using Lyapunov spectrum and bifurcation plots. It is observed that the number of scrolls is changed with the total simulation time. This novel memristive chaotic system has limit cycles with controllable spikes and bursting oscillation. In addition, the system shows chaotic bursting oscillation under a different set of parameters and initial conditions. The coexistence of the bursting phenomena is studied here. The bursting and spiking characteristic is important for material-based memristors in neuromorphic applications. 3D Chaotic multi-scroll and multistability properties make the image encryption method more efficient and secure. Such characteristics are rare in physical memristor-based chaotic systems and using this, the image encryption algorithm is also rare in recent findings. Therefore, a new secure image encryption algorithm for colour images is proposed here, based on the unique box scrambling method, bitwise XOR operation and pseudo-random number generation using the proposed memristive chaotic system. Various tests like NPCR, UACI, histogram analysis, correlation study, information entropy analysis, robustness against external noise, etc have been performed to check the algorithm’s robustness and efficiency and test the capability to resist statistical and differential attacks.

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Section: Analysis Of Bursting Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A physical memristor-based chaotic system and its application in colour image encryption scheme

Das,

Mandal

2023

Phys. Scr.

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“…Fractal Fract. 2023, 7, x FOR PEER REVIEW 18 of In quantitative analysis of the image histogram [71,72], another important metr called the histogram variance (var) is used to demonstrate the degree of variation o diversity in the pixel intensity distribution of the encrypted image's histogram. A highe histogram variance indicates a greater diversity of pixel values in the image, while a lowe variance indicates a more uniform pixel distribution.…”

Section: Histogram Analysismentioning

confidence: 99%

Mixed Multi-Chaos Quantum Image Encryption Scheme Based on Quantum Cellular Automata (QCA)

Mohamed,

El-Sayed,

Youssif

2023

Fractal Fract

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The advent of quantum computers could enable the resolution of complex computational problems that conventional cryptographic protocols find challenging. As a result, the formidable computing capabilities of quantum computers may render all present-day cryptographic schemes that rely on computational complexity ineffectual. Inspired by these possibilities, the primary purpose of this paper is to suggest a quantum image encryption scheme based on quantum cellular automata with mixed multi-chaos hybrid maps and a hyperchaotic system with quantum operations. To achieve desirable encryption outcomes, we designed an encryption scheme involving two main operations: (1) pixel-level diffusion and (2) pixel-level permutation. Initially, the secret keys generated using the hyperchaotic system were closely tied to the original image. During the first phase, the establishment of correlations among the image pixels, in addition to the three chaotic sequences obtained from the hyperchaotic system, was achieved with the application of a quantum-state superposition and measurement principle, wherein the color information of a pixel is described using a single qubit. Therefore, the three channels of the plain image were subjected to quantum operations, which involve Hadamard transformation and the quantum-controlled NOT gate, before the diffusion of each color channel with the hyperchaotic system. Subsequently, a quantum ternary Toffoli gate was used to perform the diffusion operation. Next, the appropriate measurement was performed on the three diffused channels. To attain the confusion phase, a blend of mixed multi-chaos hybrid maps and a two-dimensional quantum cellular automaton was used to produce random and chaotic sequence keys. Subsequently, the circular shift was utilized to additionally shuffle the rows and columns of the three diffused components, in order to alter the positions of their pixel values, which significantly contributes to the permutation process. Lastly, the three encoding channels, R, G, and B, were merged to acquire the encrypted image. The experimental findings and security analyses established that the designed quantum image encryption scheme possesses excellent encryption efficiency, a high degree of security, and the ability to effectively withstand a diverse variety of statistical attacks.

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“…In recent years, as a new type of electronic component, the memristor has important application in the fields of neural networks [18][19][20][21][22], image encryption [22][23][24][25][26], synchronization [27][28][29][30][31] and nonlinear chaotic circuit systems [32][33][34]. The memristor is the fourth fundamental circuit component on the basis of the existing three types of basic electronic components (resistor, capacitor and inductor) [35].…”

Section: Introductionmentioning

confidence: 99%

Multiple firing patterns, energy conversion and hardware implementation within Hindmarsh-Rose-improved neuron model

Yan,

Jiang,

Zhang

et al. 2024

Phys. Scr.

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The transmission of information between neurons is accomplished in living organisms through synapses. The memristor is an electronic component that simulates the tunability of the strength of biological synaptic connections in artificial neural networks. This article constructs a novel type of locally active memristor and verifies by nonlinear theoretical analysis, locally active analysis and circuit simulation. The designed memristor is simulated as a biological autapse of Hindmarsh-Rose(HR) neuron to obtain the improved HR neuron model of memristive autapse, and the Hamilton energy is obtained according to Helmholtz theorem. By varying the external forcing current and the memristive autapse strength, this article analyses the changes of the Hamilton energy and explores its self-excited and hidden firing behavior. The analog circuit simulation and digital circuit implementation of the HR model confirm the consistency between the mathematical model and the actual behavior, which can advance the field of neuroscience and artificial intelligence.

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

Cited by 9 publications

References 102 publications

A physical memristor-based chaotic system and its application in colour image encryption scheme

A physical memristor-based chaotic system and its application in colour image encryption scheme

Mixed Multi-Chaos Quantum Image Encryption Scheme Based on Quantum Cellular Automata (QCA)

Multiple firing patterns, energy conversion and hardware implementation within Hindmarsh-Rose-improved neuron model

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