Ontology highlight
ABSTRACT:
SUBMITTER: Laso PM
PROVIDER: S-EPMC5536820 | biostudies-other | 2017 Oct
REPOSITORIES: biostudies-other
Laso Pedro Merino PM Brosset David D Puentes John J
Data in brief 20170720
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 - ...[more]