Journal
FRACTAL AND FRACTIONAL
Volume 6, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/fractalfract6070370
Keywords
fractional-order; memristive hopfield neural network (MHNN); audio encryption; MQTT for IoT; Raspberry Pi
Categories
Funding
- Natural Science Foundation of Hunan Province [2022JJ30624, 2022JJ10052]
- Scientific Research Fund of Hunan Provincial Education Department [21B0345]
- National Natural Science Foundation of China [62172058]
- special funds for the construction of innovative provinces in Hunan Province [2020JK4046, 2022SK2007]
- Changsha Science and Technology Project [KH2202001]
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In this paper, a fractional-order chaotic system based on a memristive Hopfield neural network model is introduced, and the dynamical behaviors under different orders and coupling strengths are investigated. Additionally, a chaotic audio encryption scheme based on MQTT protocol is proposed and implemented on Raspberry Pi.
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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