Project Publications
LOCARD related articles have been published in high-rated journals and presented in top conferences. The following list depicts all articles published and presented from the beginning of the project.

Evaluation of Machine Learning Algorithms for Anomaly Detection in Industrial Networks


The cyber-physical security of Industrial Control Systems (ICSs) represents an actual and worthwhile research topic. In this paper, we compare and evaluate different Machine Learning (ML) algorithms for anomaly detection in industrial control networks. We analyze supervised and unsupervised ML-based anomaly detection approaches using datasets extracted from the Secure Water Treatment (SWaT), a testbed developed to emulate a scaled-down real industrial plant. Our experiments show strengths and limitations of the two ML-based anomaly detection approaches for industrial networks.

Authors: Giuseppe Bernieri;Mauro Conti;Federico Turrin.

Date of Publication: 8 July, 2019.

Publisher: Institute of Electrical and Electronics Engineers (IEEE).

Conference: 2019 IEEE International Symposium on Measurements & Networking (M&N).

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EU flag Copyright © 2019 - 2022 LOCARD. All rights reserved. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement nº 832735. This project reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.