A zonotopic set-invariance analysis of replay attacks affecting the supervisory layer

This paper presents a zonotopic set-invariance analysis of replay attacks affecting the communication network that serves the supervisory layer of complex control systems using an observer-based detection scheme. Depending on the attacker's access to the system's resources, two scenarios a...

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Detalles Bibliográficos
Autores: Trapiello Fernández, Carlos, Puig, Vicenç, Rotondo, Damiano
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/261294
Acceso en línea:http://hdl.handle.net/10261/261294
Access Level:acceso abierto
Palabra clave:Invariant sets
Replay attack
Zonotopes
Attack detection
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spelling A zonotopic set-invariance analysis of replay attacks affecting the supervisory layerTrapiello Fernández, CarlosPuig, VicençRotondo, DamianoInvariant setsReplay attackZonotopesAttack detectionThis paper presents a zonotopic set-invariance analysis of replay attacks affecting the communication network that serves the supervisory layer of complex control systems using an observer-based detection scheme. Depending on the attacker's access to the system's resources, two scenarios are considered: (I) Sensors and controller data are counterfeited; (II) Only sensor measurements are counterfeited. The effect of a physical attack against the plant during the data replay is also taken into consideration. The representation of invariant sets as zonotopes allows to derive analytical expressions for attack detectability under the presence of bounded uncertainties. The validity of the analysis is demonstrated through simulations using a quadruple-tank process.Elsevier BVConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2022202220212022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/261294reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1016/j.sysconle.2021.105056Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2612942026-05-22T06:33:51Z
dc.title.none.fl_str_mv A zonotopic set-invariance analysis of replay attacks affecting the supervisory layer
title A zonotopic set-invariance analysis of replay attacks affecting the supervisory layer
spellingShingle A zonotopic set-invariance analysis of replay attacks affecting the supervisory layer
Trapiello Fernández, Carlos
Invariant sets
Replay attack
Zonotopes
Attack detection
title_short A zonotopic set-invariance analysis of replay attacks affecting the supervisory layer
title_full A zonotopic set-invariance analysis of replay attacks affecting the supervisory layer
title_fullStr A zonotopic set-invariance analysis of replay attacks affecting the supervisory layer
title_full_unstemmed A zonotopic set-invariance analysis of replay attacks affecting the supervisory layer
title_sort A zonotopic set-invariance analysis of replay attacks affecting the supervisory layer
dc.creator.none.fl_str_mv Trapiello Fernández, Carlos
Puig, Vicenç
Rotondo, Damiano
author Trapiello Fernández, Carlos
author_facet Trapiello Fernández, Carlos
Puig, Vicenç
Rotondo, Damiano
author_role author
author2 Puig, Vicenç
Rotondo, Damiano
author2_role author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Invariant sets
Replay attack
Zonotopes
Attack detection
topic Invariant sets
Replay attack
Zonotopes
Attack detection
description This paper presents a zonotopic set-invariance analysis of replay attacks affecting the communication network that serves the supervisory layer of complex control systems using an observer-based detection scheme. Depending on the attacker's access to the system's resources, two scenarios are considered: (I) Sensors and controller data are counterfeited; (II) Only sensor measurements are counterfeited. The effect of a physical attack against the plant during the data replay is also taken into consideration. The representation of invariant sets as zonotopes allows to derive analytical expressions for attack detectability under the presence of bounded uncertainties. The validity of the analysis is demonstrated through simulations using a quadruple-tank process.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/261294
url http://hdl.handle.net/10261/261294
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1016/j.sysconle.2021.105056
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420119766073344
score 15,811543

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