Related Experiment Video
Updated: Feb 24, 2026

Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
Dataset of anomalies and malicious acts in a cyber-physical subsystem
Pedro Merino Laso1, David Brosset1,2, John Puentes1,3
1Chair of Naval Cyber Defense, École Navale - CC 600, F29240 Brest Cedex 9, France.
Abstract:
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.
Related Concept Videos
Types of Reports II: Incident or Occurrence Report
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
Distribution Reliability and Automation
Random Error
Mass Analyzers: Common Types
Contaminants and Errors
Another key consideration is determining the appropriate number of samples required to...
Guidelines and Strategies for Safe Computer Charting
Maintain Confidentiality and Security: