https://doi.org/10.1140/epjp/s13360-025-06663-9
Regular Article
Construction of multi-scroll memristive neural networks and their FPGA implementation for video encryption
College of Information Engineering, Shenyang University of Chemical Technology, 110142, Shenyang, China
Received:
5
May
2025
Accepted:
9
July
2025
Published online:
4
August
2025
This study investigates chaotic dynamics in nonlinear systems with complex topological structures by integrating memristive devices and neural network architectures for physical implementations. A novel dual-scroll memristive Hopfield neural network (IMHNN) with self-synaptic connections is proposed, incorporating hyperbolic-type memristors into the classical Hopfield framework to emulate biologically inspired plasticity. Motivated by the heightened stimulus responsiveness observed in biological neural systems, we systematically analyze the chaotic regime transitions under three experimental conditions: (1) baseline operation without external stimulation, (2) electromagnetic radiation (EMR) perturbation, and (3) combined EMR with multi-level logic pulse modulation. Through rigorous mathematical modeling and bifurcation analysis, we demonstrate that EMR induces period-doubling routes to chaos by destabilizing equilibrium points, while synergistic EMR-pulse stimulation generates emergent multi-scroll attractors with unprecedented topological complexity. These dynamical transitions are experimentally validated using field-programmable gate array (FPGA) platforms, confirming theoretical predictions through hardware-in-the-loop implementations. Leveraging the enhanced chaotic entropy of the proposed 4D improved IMHNN architecture, we develop a real-time color video encryption system addressing Internet of Things (IoT) security challenges. This encryption scheme realizes end-to-end encryption through Ethernet-coupled FPGA deployment. While maintaining a video throughput of 60 fps, it proves the sensitivity to the key. This work advances both the theoretical understanding of memristive neural chaos and the practical realization of secure IoT communication systems, establishing a paradigm for neuro-inspired cyber-physical security solutions.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
