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    Rights statement: © ACM, 2021. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Internet Technology, 22, 2, May 2022. http://doi.acm.org/10.1145/3450752

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A Security Cost Modelling Framework for Cyber-Physical Systems

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Article number53
<mark>Journal publication date</mark>31/05/2022
<mark>Journal</mark>ACM Transactions on Internet Technology
Issue number2
Volume22
Number of pages31
Pages (from-to)1-31
Publication StatusPublished
Early online date22/04/22
<mark>Original language</mark>English

Abstract


Cyber-Physical Systems (CPS) are formed through interconnected components capable of computation, communication, sensing and changing the physical world. The development of these systems poses a significant challenge since they have to be designed in a way to ensure cyber-security without impacting their performance. This article presents the Security Cost Modelling Framework (SCMF) and shows supported by an experimental study how it can be used to measure, normalise and aggregate the overall performance of a CPS. Unlike previous studies, our approach uses different metrics to measure the overall performance of a CPS and provides a methodology for normalising the measurement results of different units to a common Cost Unit. Moreover, we show how the Security Costs can be extracted from the overall performance measurements which allows to quantify the overhead imposed by performing security-related tasks. Furthermore, we describe the architecture of our experimental testbed and demonstrate the applicability of SCMF in an experimental study. Our results show that measuring the overall performance and extracting the security costs using SCMF can serve as basis to redesign interactions to achieve the same overall goal at less costs.

Bibliographic note

© ACM, 2021. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Internet Technology, 22, 2, May 2022. http://doi.acm.org/10.1145/3450752