期刊
DATA IN BRIEF
卷 14, 期 -, 页码 186-191出版社
ELSEVIER
DOI: 10.1016/j.dib.2017.07.038
关键词
Anomaly; Cyber-physical system; Sensor data; Systems security
资金
- Ecole Navale
- Institut Mines-Telecom Atlantique Bretagne Pays de la Loire
- DCNS
- Thales
This article presents a dataset produced to investigate how data and information quality estimations enable to detect allomalies 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, allomalies, 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 cyberphysical systems. (C) 2017 The Authors. Published by Elsevier Inc.
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