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Scalable Modeling of Preventive and Detective Security Controls for Cyber-Physical Systems

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

Critical infrastructure and Industry 4.0 depend heavily on Cyber-Physical Systems (CPS), necessitating significant support for cybersecurity and safety professionals throughout development and implementation. This paper explores safety measures linked to physical protection at different CPS levels and how they interact with features of the digital twin. However, digital twins require comprehensive preventative and detective procedures to ensure security. The objective is to facilitate advanced attack tree analysis. Utilizing 3D modeling to incorporate features such as tamper-indicating devices, forensic biometric security, digital CCTV/video monitoring, physical/logical zones, and graded security controls enhances the depiction of the real world. Furthermore, functional safety assessments and risk assessments are carried out. The frameworks will include Babylon JS 7.0, Vue 3.x, and Element+, enabling a tool-based method designed to help subject matter experts analyze complex security postures of CPS efficiently and consistently. This scalable method can be applied in smart manufacturing as well as large-scale plant operations.

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Shun, Hnin Yee; Al Sardy, Loui; Waedt, Karl; Le Berre, Gabriel (2024): Scalable Modeling of Preventive and Detective Security Controls for Cyber-Physical Systems. INFORMATIK 2024. DOI: 10.18420/inf2024_170. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-746-3. pp. 1963-1976. 9th IACS WS'24. Wiesbaden. 24.-26. September 2024

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