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An Authorization Service supporting Dynamic Access Control in Manufacturing Systems
Mälardalen University.
Mälardalen University.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Abb Ab, Process Control Platform, Västerås, Sweden.ORCID iD: 0000-0003-2488-5774
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-4920-2012
2023 (English)In: 2023 IEEE World Forum on Internet of Things: The Blue Planet: A Marriage of Sea and Space, WF-IoT 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

Cybersecurity is of increasing importance in industrial automation systems. The use of fine-grained and intelligent access control is paramount in emerging manufacturing systems as implicit trust is no longer a viable assumption for interactions within industrial systems. An authorization service is a central component of an access control enforcement architecture, to which resource servers may outsource parts of the policy decision functionality. This paper investigates how to create and integrate an authorization service in an industrial manufacturing system, which uses workflow descriptions combined with operational system states for policy decisions. The implementation is demonstrated in the use case of recipe orchestration in a modular automation system, and a few key quality metrics of the authorization service are evaluated.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023.
Series
IEEE World Forum on Internet of Things (WF-IoT), ISSN 2768-1734
Keywords [en]
Authorization, Automation, Decision making, Authorization services, Central component, Cyber security, Dynamic access control, Fine grained, Implicit trusts, Industrial automation system, Industrial systems, Policy decisions, Service supporting, Quality control
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-67701DOI: 10.1109/WF-IoT58464.2023.10539491ISI: 001241286500109Scopus ID: 2-s2.0-85195421405ISBN: 9798350311617 (print)OAI: oai:DiVA.org:mdh-67701DiVA, id: diva2:1874490
Conference
9th IEEE World Forum on Internet of Things, WF-IoT 2023, Online, Aveiro, Portugal, 12th-27th October, 2023
Available from: 2024-06-20 Created: 2024-06-20 Last updated: 2026-02-16Bibliographically approved

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Radonjic, IvanLeander, BjörnMarkovic, Tijana

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