Dataset of Anomalies and Malicious Acts in a Cyber-Physical Subsystem - Archive ouverte HAL
Article Dans Une Revue Data in Brief Année : 2017

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

Résumé

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.
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hal-01597298 , version 1 (27-05-2024)

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Pedro Merino Laso, David Brosset, John Puentes. Dataset of Anomalies and Malicious Acts in a Cyber-Physical Subsystem. Data in Brief, 2017, 14, pp.186 - 191. ⟨10.1016/j.dib.2017.07.038⟩. ⟨hal-01597298⟩
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