| Issue |
EPL
Volume 153, Number 5, March 2026
|
|
|---|---|---|
| Article Number | 52001 | |
| Number of page(s) | 7 | |
| Section | Mathematical and interdisciplinary physics | |
| DOI | https://doi.org/10.1209/0295-5075/ae45cb | |
| Published online | 16 March 2026 | |
Complex dynamics of physical memristor (
)-based hyperchaotic system and application to PRNG and secure data transfer by equivalent circuit implementation
1 MLR Institute of Technology - Hyderabad, Telangana, India
2 School of Advanced Sciences, VIT-AP University - Amaravati, Andhra Pradesh, India
Received: 3 August 2025
Accepted: 13 February 2026
Abstract
This paper proposes a novel four-dimensional hyperchaotic system based on a TaOx physical memristor, designed for real-time analog applications including secure communication and pseudo-random number generator (PRNG). The system exhibits a range of complex dynamical behaviors such as chaotic-hyperchaotic switching, multistability, offset boosting, and amplitude control. Notably, it generates spiking and bursting signal waveforms with negative-spike–like behaviour. To replicate this behaviour in a physical context, an equivalent analog circuit is proposed, capable of demonstrating similar dynamics in a hardware environment. This circuit is further utilized to construct a PRNG through quantization and XOR operations, resulting in a high-entropy byte stream. Additionally, the circuit is employed to showcase the potential of the proposed physical memristive hyperchaotic system for hardware-based secure communication. A text encryption process is demonstrated, highlighting the system's effectiveness in ensuring data security. This work presents a hardware-realizable alternative to software-based spiking models, offering an efficient solution for chaotic signal generation in the context of physical memristive neuromorphic computation.
© 2026 The author(s)
Published by the EPLA under the terms of the Creative Commons Attribution 4.0 International License (CC-BY). Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
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