A memristive autapse-synapse neural network: application to image encryption

Self Cite

Traditional Compressive Sensing (CS) achieves both compression and encryption of digital data. However, most existing compressive sensing methods present some shortcomings, including weak resistance to chosen-plaintext attacks and heavy key management burden. To overcome these shortcomings, this work presents a new combination of CS with optical transformation for digital image compression and encryption. The proposed compression-encryption scheme utilizes the interesting properties of CS and permutation-diffusion techniques to reduce the image size and encrypt the image data. A novel Duffing Oscillator (NDO) is proposed, its dynamics is deeply analyzed, and its sequences are exploited to build a hardware-friendly measurement matrix for the CS process. This also contributes to reducing the total size of secret key sent to the receiving end. In addition, the final image compression-encryption output is obtained by applying one of the most significant optical encryption methods, namely Double Random Phase Encoding (DRPE). This contributes to further strengthen the security of the proposed scheme. Eventually, the experimental results imply that our scheme is effective in improving the resistance against various attacks, while guaranteeing good imperceptibility and reconstruction performance. It can then be employed in the information security communication field. Keywords: Privacy data protection, duffing oscillator, compressive sensing, double random phase encoding, security analysis.

Section: Histogram and χ 2 Tests Resultsmentioning

confidence: 99%

Novel Duffing chaotic oscillator and its application to privacy data protection

Nkapkop

Jiang

et al. 2023

Self Cite

“…The x − w planar phase diagrams generated by the system are drawn. In order to show clearly, c is set to 5 different values (5,15,25,35,45) at intervals of 10. Undoubtedly, with the increase of c, the phase trajectory amplitude of the system expands from the inside out (color from green to blue).…”

Section: Narrowing and Expanding Behaviorsmentioning

confidence: 99%

“…Memristor, as a unique nanoelectronic device, has extremely potential applications in materials [12,13], neural networks [14,15], and the Internet of Things [16,17] due to their unique non-volatility as well as low power consumption characteristics. According to relevant research, the fractional-order model can more precisely match the true characteristics of memristors, capacitance, and inductance of dynamic circuit components.…”

Section: Introductionmentioning

confidence: 99%

Modeling and complexity analysis of a fractional-order memristor conservative chaotic system

Leng

Zhang

et al. 2023

Memristors are often utilized in circuit model analysis as one of the fundamental circuit components. In this paper, a five-dimensional conservative memristor chaotic system is built after the introduction of the memristor into a four-dimensional conservative chaotic system. The dynamic changes of the system are examined using phase diagram, bifurcation diagram, and the Lyapunov exponent spectrum. A line equilibrium point, symmetry and multi-stability are characteristics of the system, the phase trajectory can also produce shrinking and structure transformation behavior with the change of parameters. Furthermore, the system has initial offset boosting behaviors, conservative flows of it can be altered in position by changing two initial values, respectively. Most notably, we discover that the complexity of the system rises with the inclusion of memristor and again with the addition of fractional differential operators. It is shown that the complexity of chaotic systems may increase with the addition of memristors and fractional-order differential operators. At last, the NIST is used to test the randomness of the sequence, and the system’s physical realizability is confirmed by the DSP platform.

“…Over the recent years, as a nonlinear two-terminal component with the intrinsic memory effort that connects electric charge with magnetic flux [1], the memristor has aroused considerable interest in various applications such as logic gates [2,3], reservoir computing [4,5], neuromorphic computing [6,7]. In particular, the particular advantages of this device offer additional flexibility for generating chaos [8,9], hyperchaos [10,11] and complex dynamics [12,13]. Many chaotic or hyperchaotic oscillators have been constructed based on the existing chaotic system or circuit topology and then replaced some existing linear or nonlinear components with a memristor.…”

Section: Introductionmentioning

confidence: 99%

Offset boosting in a memristive hyperchaotic system

Zhang,

Li,

Lei

et al. 2023

In this article, an autonomous memristive hyperchaotic system with multi-dimensional offset boosting is constructed and analyzed. Besides this, the oscillation can be rescaled by an independent controller in the memristor. Two independent constants are obtained for offset boosting with one or two variables, which provide two modes of offset boosting, including single control and synchronous reverse control. In addition, the offset of the variables is also modified by the system bifurcation parameters or combined with amplitude control. The multistability can also be identified according to the offset boosting. Finally, circuit implementation based on PCB is proposed to confirm the numerical simulations.