Knowledge Systematization for Security Orchestration in CPS and IoT Systems

Cyber-Physical Systems (CPS) and the Internet of Things (IoT) are crucial in a number of fields, including healthcare, energy, mobility, and communication. IDS, network, and application layers are among the system layers that are the primary focus of current Security Orchestration, Automation, and Response (SOAR) techniques. However, taking into account the computing continuum, there is a noticeable lack of complete SOAR techniques for multi-layered IoT/CPS systems. We aim to systematize the current SOAR approaches for IoT/CPS-based critical infrastructures. Three research topics served as the basis for our systematic review, which produced important findings: (i) IoT/CPS systems require a complete SOAR that addresses many architectural elements; (ii) AI/ML improves automation, but it is insufficient in addressing explainability and cross-layer/system/domain issues; and (iii) the incorporation of digital twin solutions into SOAR frameworks is still in its early stages. We highlight areas for further research to enhance SOAR solutions’ efficacy, flexibility, and comprehensiveness in addressing evolving cybersecurity challenges.

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Publication Details

Published
2025-08-04
DOI
https://doi.org/10.1109/csr64739.2025.11130008
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
4.57

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article

Knowledge Systematization for Security Orchestration in CPS and IoT Systems

Phu H. Nguyen, Eider Iturbe, Rustem Dautov, Hui Song et al.
2 citations
Big Data and Business Intelligence
4.57
article

Knowledge Systematization for Security Orchestration in CPS and IoT Systems

Phu H. Nguyen, Eider Iturbe, Rustem Dautov, Hui Song, Angel Rego, Ana Cavalli, Valeria Valdés, Wissam Mallouli, Erkuden Rios, Nicolas Ferry
article en
2 citations

Abstract

Cyber-Physical Systems (CPS) and the Internet of Things (IoT) are crucial in a number of fields, including healthcare, energy, mobility, and communication. IDS, network, and application layers are among the system layers that are the primary focus of current Security Orchestration, Automation, and Response (SOAR) techniques. However, taking into account the computing continuum, there is a noticeable lack of complete SOAR techniques for multi-layered IoT/CPS systems. We aim to systematize the current SOAR approaches for IoT/CPS-based critical infrastructures. Three research topics served as the basis for our systematic review, which produced important findings: (i) IoT/CPS systems require a complete SOAR that addresses many architectural elements; (ii) AI/ML improves automation, but it is insufficient in addressing explainability and cross-layer/system/domain issues; and (iii) the incorporation of digital twin solutions into SOAR frameworks is still in its early stages. We highlight areas for further research to enhance SOAR solutions’ efficacy, flexibility, and comprehensiveness in addressing evolving cybersecurity challenges.

SINTEF (NO), Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis (FR), Tecnalia (ES), Montimage (France) (FR)
HORIZON EUROPE Framework Programme
Openalex Percentile: Top 5%
Big Data and Business Intelligence
4.57
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Knowledge Systematization for Security Orchestration in CPS and IoT Systems — Phu H. Nguyen, Eider Iturbe, et al. · (2025) | TGRS Research Map | TGRS