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Dataset of Anomalies and Malicious Acts in a Cyber-Physical Subsystem
hal.structure.identifier | Lab-STICC_IMTA_CID_DECIDE | |
hal.structure.identifier | Département lmage et Traitement Information [IMT Atlantique - ITI] | |
hal.structure.identifier | Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS) | |
dc.contributor.author | MERINO LASO, Pedro | |
hal.structure.identifier | Institut de Recherche de l'Ecole Navale [IRENAV] | |
hal.structure.identifier | Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS) | |
dc.contributor.author | BROSSET, David | |
hal.structure.identifier | Lab-STICC_IMTA_CID_DECIDE | |
hal.structure.identifier | Département lmage et Traitement Information [IMT Atlantique - ITI] | |
hal.structure.identifier | Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS) | |
dc.contributor.author | PUENTES, John | |
dc.date.accessioned | 2021-05-14T09:50:19Z | |
dc.date.available | 2021-05-14T09:50:19Z | |
dc.date.issued | 2017-10 | |
dc.identifier.issn | 2352-3409 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/77276 | |
dc.description.abstractEn | This 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.iso | en | |
dc.publisher | Elsevier | |
dc.subject.en | Anomaly | |
dc.subject.en | Cyber-physical system | |
dc.subject.en | Sensor data | |
dc.subject.en | Systems security | |
dc.title.en | Dataset of Anomalies and Malicious Acts in a Cyber-Physical Subsystem | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1016/j.dib.2017.07.038 | |
dc.subject.hal | Informatique [cs]/Automatique | |
dc.subject.hal | Informatique [cs]/Performance et fiabilité [cs.PF] | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Autre | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
bordeaux.journal | Data in Brief | |
bordeaux.page | 186 - 191 | |
bordeaux.volume | 14 | |
bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.institution | INRAE | |
bordeaux.institution | Arts et Métiers | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01597298 | |
hal.version | 1 | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01597298v1 | |
bordeaux.COinS | ctx_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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