MERINO LASO, Pedro; BROSSET, David; PUENTES, John

doi:10.1016/j.dib.2017.07.038

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MERINO LASO, Pedro
Lab-STICC_IMTA_CID_DECIDE
Département lmage et Traitement Information [IMT Atlantique - ITI]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)

BROSSET, David
Institut de Recherche de l'Ecole Navale [IRENAV]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)

PUENTES, John
Lab-STICC_IMTA_CID_DECIDE
Département lmage et Traitement Information [IMT Atlantique - ITI]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)

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Ce document a été publié dans

Data in Brief. 2017-10, vol. 14, p. 186 - 191

Elsevier

Résumé en anglais

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.< Réduire

Mots clés en anglais

Anomaly

Cyber-physical system

Sensor data

Systems security

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

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