Traceable Security-by-Design Decisions for Cyber-Physical Systems (CPSs) by Means of Function-Based Diagrams and Security Libraries.

cyber-physical systems cybersecurity function-based engineering industrial control systems security by design visualization

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
13 Jun 2023
Historique:
received: 08 05 2023
revised: 05 06 2023
accepted: 08 06 2023
medline: 10 7 2023
pubmed: 8 7 2023
entrez: 8 7 2023
Statut: epublish

Résumé

"Security by design" is the term for shifting cybersecurity considerations from a system's end users to its engineers. To reduce the end users' workload for addressing security during the systems operation phase, security decisions need to be made during engineering, and in a way that is traceable for third parties. However, engineers of cyber-physical systems (CPSs) or, more specifically, industrial control systems (ICSs) typically neither have the security expertise nor time for security engineering. The security-by-design decisions method presented in this work aims to enable them to identify, make, and substantiate security decisions autonomously. Core features of the method are a set of function-based diagrams as well as libraries of typical functions and their security parameters. The method, implemented as a software demonstrator, is validated in a case study with the specialist for safety-related automation solutions HIMA, and the results show that the method enables engineers to identify and make security decisions they may not have made (consciously) otherwise, and quickly and with little security expertise. The method is also well suited to make security-decision-making knowledge available to less experienced engineers. This means that with the security-by-design decisions method, more people can contribute to a CPS's security by design in less time.

Identifiants

pubmed: 37420712
pii: s23125547
doi: 10.3390/s23125547
pmc: PMC10301087
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Federal Ministry of Education and Research
ID : 16KIS1269K

Références

J Gen Psychol. 2000 Oct;127(4):439-59
pubmed: 11110005

Auteurs

Sarah Fluchs (S)

Institute of Automation, Helmut-Schmidt-University, 22043 Hamburg, Germany.
admeritia GmbH, 40764 Langenfeld (Rheinland), Germany.

Emre Taştan (E)

Faculty of Technology, Pforzheim University, 75175 Pforzheim, Germany.

Tobias Trumpf (T)

HIMA Paul Hildebrandt GmbH, 68782 Brühl, Germany.

Alexander Horch (A)

HIMA Paul Hildebrandt GmbH, 68782 Brühl, Germany.

Rainer Drath (R)

Faculty of Technology, Pforzheim University, 75175 Pforzheim, Germany.

Alexander Fay (A)

Institute of Automation, Helmut-Schmidt-University, 22043 Hamburg, Germany.

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Classifications MeSH