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Article . 2024 . Peer-reviewed
License: Elsevier TDM
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A proportional-integral observer protocol for secure communication

Authors: Cecilia Piñol, Andreu; Costa Castelló, Ramon;

A proportional-integral observer protocol for secure communication

Abstract

In this work, we present a novel observer-based masking protocol in order to secure the communication between nodes of a cyber-physical system. The approach is based on including multiplicative disturbances generated from a known autonomous system in the source node and then including an observer in the receiver node that exactly removes the noise and recovers the original signal. It is shown that, if the masking signal is appropriately designed, the de-masking module can be implemented through a simple proportional-integral observer. The approach is then validated through numerical simulations.

This research this initiative is carried out within the framework of the EU-funded Recovery, Transformation and Resilience Plan (Next Generation) thorugh the project ACROBA and the Spanish Ministry of Universities funded by the European Union - NextGenerationEU (2022UPC-MSC-93823). This work is part of the Project MAFALDA (PID2021-126001OB-C31) funded by MCIN/ AEI /10.13039/501100011033 and by ”ERDF A way of making Europe”. This work is part of the project MASHED (TED2021- 129927B-I00), funded by MCIN/ AEI/10.13039/501100011033 and by the European Union Next GenerationEU/PRTR.

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Keywords

Eavesdropping, Cyber-physical systems, Proportional-Integral Observer, Observer-based, Original signal, Receiver nodes, Cybe-physical systems, Cyber-security, Cyber security, Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica, Source nodes, Differential privacy, Privacy, Secure communication, Choquet integral, Proportional-integral observers, Authentication Protocol

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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