Abstract

There is an increasing need for everyday communications to be both secure and resistant to external perturbations. We have therefore created an experimental implementation of the coupling-function-based secure communication protocol, in order to assess its robustness to channel noise. The transmitter and receiver are implemented on single-board computers, thereby facilitating communication of the analog electronic signals. The information signals are encrypted at the transmitter as the timevariability of nonlinear coupling functions between dynamical systems. This results in a complicated nonlinear mixing and scrambling of the information. To replicate the channel noise, analog white noise is added to the encrypted signals. After digitization at the receiver, the decryption is performed with dynamical Bayesian inference to take account of time-varying dynamics in the presence of noise. The dynamical Bayesian approach effectively separates the deterministic information signals from the perturbations of dynamical channel noise. The experimental realization has demonstrated the feasibility, and established the performance, of the protocol for secure, reliable, communication even with high levels of channel noise.

Highlights

  • T HE increasing use of communications serves to emphasise the continuing need of methods for the secure and reliable exchange of information [1], [2]

  • These include a conceptual description of the implementation of the coupling function protocol, the specific dynamical systems in use and the method of dynamical Bayesian inference employed on the receiver side

  • In order to establish the effectiveness of the coupling function protocol, it was compared with a known protocol based on complete synchronization of chaotic dynamical systems called the signal masking protocol [10]

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Summary

INTRODUCTION

T HE increasing use of communications serves to emphasise the continuing need of methods for the secure and reliable exchange of information [1], [2]. Of greatest interest in the present context is that the communication scheme is highly noise-robust The latter property results from the use of dynamical Bayesian inference for stochastic processes within the protocol, allowing effective separation between the deterministic information signals and the dynamical (channel) noise perturbations. These include a conceptual description of the implementation of the coupling function protocol, the specific dynamical systems in use and the method of dynamical Bayesian inference employed on the receiver side. In the Appendix we demonstrate the effect of a low-frequency non-Gaussian noise on the communication protocol

IMPLEMENTATION OF COUPLING FUNCTION SECURE COMMUNICATION
The Coupling Functions Protocol
The Dynamical Systems Used
Dynamical Bayesian Inference
ANALOG ELECTRONIC REALIZATION
Time and Frequency Signal Analysis
CONCLUSION
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