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Frequency-based detection of replay attacks: application to a multiple tank system

Authors: Sánchez Corrales, Helem Sabina; Rotondo, Damiano; Escobet Canal, Teresa; Puig Cayuela, Vicenç; Quevedo Casín, Joseba Jokin;

Frequency-based detection of replay attacks: application to a multiple tank system

Abstract

This work has been partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the projects DEOCS (ref. MINECO DPI2016-76493) and SCAV (ref. MINECO DPI2017-88403-R), by AGAUR of the Generalitat de Catalunya through the Advanced Control Systems (SAC) group grant (2017 SGR 482) and by the Agènda de Gestió d’Ajuts Universitaris i de Recerca. This work has been also supported by the Spanish State Research Agency through the Maria de Maeztu Seal of Excellence to IRI (MDM-2016-0656) and the grant Juan de la Cierva -Formacion (FJCI-2016-29019).

This paper presents a frequency-based method for detecting replay attacks and its application to a multiple tank system. This method introduces a sinusoidal signal with a time-varying frequency (authentication signature) into the closed-loop system and checks whether the output signal is compatible with the signature or not. The effectiveness of the method is illustrated through simulation scenarios using a 9-tank system under different situations.

Peer reviewed

Country
Spain
Keywords

:Informàtica::Automàtica i control [Àrees temàtiques de la UPC], Water supply systems, Cyber-physical systems, two-tank system, Replay attacks, Cyberterrorism, Cyber security, replay attacks, benchmark, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Cyber attacks, cyber physical systems

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download
selected citations
These citations are derived from selected sources.
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
8
Top 10%
Average
Top 10%
69
55
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gold