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Towards Security Architecture Modeling for Modular Automation Systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2488-5774
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3469-1834
2025 (English)In: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), Institute of Electrical and Electronics Engineers (IEEE) , 2025, p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]

Software and system architecture modeling is a well-established technique for addressing design-time challenges and enabling validation early in the system and software development process. However, software and system modeling has not been as widely used in automation systems as it has been in the automotive industry. In addition to validating functional properties through modeling, security properties and features can be evaluated in the modeling phase. This paper provides a brief overview of existing modeling approaches for future automation systems, known as modular automation, that support security modeling and analysis. Modular automation refers to a new trend in automation in which various modules are developed in advance and integrated to build an automation system. Moreover, we study the gaps and missing components of the existing modeling approaches via a use case demonstration. Our study shows that the current state of automation and control system modeling has several limitations that require urgent attention.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. p. 1-4
Series
IEEE Conference on Emerging Technologies and Factory Automation, ISSN 1946-0759
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-74517DOI: 10.1109/etfa65518.2025.11205569ISI: 001826397800043Scopus ID: 2-s2.0-105021817300ISBN: 979-8-3315-5383-8 (print)OAI: oai:DiVA.org:mdh-74517DiVA, id: diva2:2016212
Conference
IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)
Funder
Knowledge FoundationAvailable from: 2025-11-25 Created: 2025-11-25 Last updated: 2026-09-02Bibliographically approved

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Trykoz, VolodymyrLeander, BjörnMubeen, SaadAshjaei, Seyed Mohammad Hossein

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