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Dataset of Anomalies and Malicious Acts in a Cyber-Physical Subsystem

hal.structure.identifierLab-STICC_IMTA_CID_DECIDE
hal.structure.identifierDépartement lmage et Traitement Information [IMT Atlantique - ITI]
hal.structure.identifierChaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
dc.contributor.authorMERINO LASO, Pedro
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
hal.structure.identifierChaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
dc.contributor.authorBROSSET, David
hal.structure.identifierLab-STICC_IMTA_CID_DECIDE
hal.structure.identifierDépartement lmage et Traitement Information [IMT Atlantique - ITI]
hal.structure.identifierChaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
dc.contributor.authorPUENTES, John
dc.date.accessioned2021-05-14T09:50:19Z
dc.date.available2021-05-14T09:50:19Z
dc.date.issued2017-10
dc.identifier.issn2352-3409
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77276
dc.description.abstractEnThis article presents a dataset produced to investigate how data and information quality estimations enable to detect anomalies and malicious acts in cyber-physical systems. Data were acquired making use of a cyber-physical subsystem consisting of liquid containers for fuel or water, along with its automated control and data acquisition infrastructure. Described data consist of temporal series representing five operational scenarios - normal, anomalies, breakdown, sabotages, and cyber-attacks - corresponding to 15 different real situations. The dataset is publicly available in the .zip file published with the article, to investigate and compare faulty operation detection and characterization methods for cyber-physical systems.
dc.language.isoen
dc.publisherElsevier
dc.subject.enAnomaly
dc.subject.enCyber-physical system
dc.subject.enSensor data
dc.subject.enSystems security
dc.title.enDataset of Anomalies and Malicious Acts in a Cyber-Physical Subsystem
dc.typeArticle de revue
dc.identifier.doi10.1016/j.dib.2017.07.038
dc.subject.halInformatique [cs]/Automatique
dc.subject.halInformatique [cs]/Performance et fiabilité [cs.PF]
dc.subject.halSciences de l'ingénieur [physics]/Autre
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalData in Brief
bordeaux.page186 - 191
bordeaux.volume14
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01597298
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01597298v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Data%20in%20Brief&rft.date=2017-10&rft.volume=14&rft.spage=186%20-%20191&rft.epage=186%20-%20191&rft.eissn=2352-3409&rft.issn=2352-3409&rft.au=MERINO%20LASO,%20Pedro&BROSSET,%20David&PUENTES,%20John&rft.genre=article


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