Inferring Anomaly Situation from Multiple Data Sources in Cyber Physical Systems

Cyber physical systems are becoming ubiquitous devices in many fields thus creating the need for effective security measures. We propose to exploit their intrinsic dependency on the environment in which they are deployed to detect and mitigate anomalies. To do so, sensor measurements, network metric...

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Autores principales: Baldoni, Sara, Celozzi, Giuseppe, Neri, Alessandro, Carli, Marco, Battisti, Federica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888293/
http://dx.doi.org/10.1007/978-3-030-69781-5_5
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author Baldoni, Sara
Celozzi, Giuseppe
Neri, Alessandro
Carli, Marco
Battisti, Federica
author_facet Baldoni, Sara
Celozzi, Giuseppe
Neri, Alessandro
Carli, Marco
Battisti, Federica
author_sort Baldoni, Sara
collection PubMed
description Cyber physical systems are becoming ubiquitous devices in many fields thus creating the need for effective security measures. We propose to exploit their intrinsic dependency on the environment in which they are deployed to detect and mitigate anomalies. To do so, sensor measurements, network metrics, and contextual information are fused in a unified security architecture. In this paper, the model of the proposed framework is presented and a first proof of concept involving a telecommunication infrastructure case study is provided.
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spelling pubmed-78882932021-02-17 Inferring Anomaly Situation from Multiple Data Sources in Cyber Physical Systems Baldoni, Sara Celozzi, Giuseppe Neri, Alessandro Carli, Marco Battisti, Federica Cyber-Physical Security for Critical Infrastructures Protection Article Cyber physical systems are becoming ubiquitous devices in many fields thus creating the need for effective security measures. We propose to exploit their intrinsic dependency on the environment in which they are deployed to detect and mitigate anomalies. To do so, sensor measurements, network metrics, and contextual information are fused in a unified security architecture. In this paper, the model of the proposed framework is presented and a first proof of concept involving a telecommunication infrastructure case study is provided. 2021-01-28 /pmc/articles/PMC7888293/ http://dx.doi.org/10.1007/978-3-030-69781-5_5 Text en © The Author(s) 2021 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Baldoni, Sara
Celozzi, Giuseppe
Neri, Alessandro
Carli, Marco
Battisti, Federica
Inferring Anomaly Situation from Multiple Data Sources in Cyber Physical Systems
title Inferring Anomaly Situation from Multiple Data Sources in Cyber Physical Systems
title_full Inferring Anomaly Situation from Multiple Data Sources in Cyber Physical Systems
title_fullStr Inferring Anomaly Situation from Multiple Data Sources in Cyber Physical Systems
title_full_unstemmed Inferring Anomaly Situation from Multiple Data Sources in Cyber Physical Systems
title_short Inferring Anomaly Situation from Multiple Data Sources in Cyber Physical Systems
title_sort inferring anomaly situation from multiple data sources in cyber physical systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888293/
http://dx.doi.org/10.1007/978-3-030-69781-5_5
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