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Access Control for Smart Manufacturing Systems

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Software Architecture (ECSA 2020)

Abstract

In the ongoing \(4^{th}\) industrial revolution, a new paradigm of modular and flexible manufacturing factories powered by IoT devices, cloud computing, big data analytics and artificial intelligence is emerging. It promises increased cost efficiency, reduced time-to-market and extreme customization. However, there is a risk that technical assets within such systems will be targeted by cybersecurity attacks. A compromised device in a smart manufacturing system could cause a significant damage, not only economically for the factory owner, but also physically on humans, machinery and the environment.

Strict and granular Access Control is one of the main protective mechanisms against compromised devices in any system. In this paper we discuss the requirements and implications of Access Control within the context of Smart Manufacturing. The contributions of this paper are twofold: first we derive requirements on an Access Control Model in the context of smart manufacturing, and then asses the Attribute Based Access Control model against these requirements in the context of a use case scenario.

This work is supported by the industrial postgraduate school Automation Region Research Academy (ARRAY), funded by The Knowledge Foundation. The authors would like to acknowledge Andrea Macauda and Axel Haller for valuable discussions and feedback.

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Notes

  1. 1.

    More information available at http://ims.org.

  2. 2.

    Part 3-3: System security requirements and security levels, Ed 1.0, 2013.

  3. 3.

    Here x is used as variable representing either an entity p or a device d.

  4. 4.

    https://csrc.nist.gov/Projects/Policy-Machine.

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Leander, B., Čaušević, A., Hansson, H., Lindström, T. (2020). Access Control for Smart Manufacturing Systems. In: Muccini, H., et al. Software Architecture. ECSA 2020. Communications in Computer and Information Science, vol 1269. Springer, Cham. https://doi.org/10.1007/978-3-030-59155-7_33

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  • DOI: https://doi.org/10.1007/978-3-030-59155-7_33

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