Coupling Functions Enable Secure Communications
TLDR
Inspired by the time-varying nature of the cardiorespiratory interaction, a new class of secure communications that is highly resistant to conventional attacks is introduced, which results in an unbounded number of encryption key possibilities, and allows the transmission/reception of more than one signal simultaneously.Abstract:
Secure encryption is an essential feature of modern communications, but rapid progress in illicit decryption brings a continuing need for new schemes that are harder and harder to break. Inspired by the time-varying nature of the cardiorespiratory interaction, here we introduce a new class of secure communications that is highly resistant to conventional attacks. Unlike all earlier encryption procedures, this cipher makes use of the coupling functions between interacting dynamical systems. It results in an unbounded number of encryption key possibilities, allows the transmission/reception of more than one signal simultaneously, and is robust against external noise. Thus, the information signals are encrypted as the time-variations of linearly-independent coupling functions. Using predetermined forms of coupling function, we can apply Bayesian inference on the receiver side to detect and separate the information signals while simultaneously eliminating the effect of external noise. The scheme is highly modular and is readily extendable to support different communications applications within the same general framework.read more
Citations
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Wireless Chaos-Based Communication Systems: A Comprehensive Survey
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Coupling functions:universal insights into dynamical interaction mechanisms
TL;DR: A comprehensive review of the analysis, understanding and applications of coupling functions can be found in this paper, where a variety of methods have been developed for detecting and reconstructing coupling functions from measured data.
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Coupling functions in networks of oscillators
TL;DR: In this article, a method of reconstruction based on dynamical Bayesian inference was proposed to detect the effective phase connectivity within networks of time-evolving coupled phase oscillators subject to noise.
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Alterations in the coupling functions between cortical and cardio-respiratory oscillations due to anæsthesia with propofol and sevoflurane
Tomislav Stankovski,Spase Petkoski,Johan Raeder,Andrew Smith,Peter V. E. McClintock,Aneta Stefanovska +5 more
TL;DR: By quantitative assessment of the forms and strengths of the couplings, this work has revealed how these relationships are altered by anaesthesia, also showing that some of them are differently affected by propofol and sevoflurane.
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Synchronisation of chaos and its applications
TL;DR: The main theory behind complete, generalised and phase synchronisation phenomena in simple as well as complex networks are surveyed and applications to secure communications, parameter estimation and the anticipation of chaos are discussed.
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