Introducing the Cybersecurity Toolbox: A Modeling Framework for Smart Grid Security

Research output: Contribution to conferencePaperpeer-review

Abstract

Recent cyber-attacks successfully launched on electricity infrastructure reveal the need to harden protection measures. Intelligent power grids, so-called smart grids, are highly distributed, and involve diverse stakeholders and devices. This makes the managing their cybersecurity challenging, requiring a concisely defined, well-structured, and widely applicable strategy. The results of cybersecurity analysis must be consistently captured to enable seamless collaboration between stakeholders having common interest in enhancing the grid's resilience. In response, we present a model-based approach utilizing a domain-specific language, the Cybersecurity Toolbox. Its metamodel conforms to the Meta-Object Facility and is based on consolidated ontologies of widespread cybersecurity standards. The modeling language stands out by its ease of use grounded in a robust but extensible formal foundation. Furthermore, it is designed for broad interoperability with common cybersecurity analysis methodologies and tools, enabling it to function as a centralized hub for consolidating system-level cybersecurity findings. We demonstrate the toolbox's capabilities on a publicly available attack scenario. Ultimately, the Cybersecurity Toolbox can strengthen smart grids' resilience by holistically managing security concerns in a security-by-design approach.
Original languageEnglish
Number of pages13
DOIs
Publication statusAccepted/In press - 27 Sept 2024
EventInternational Conference on Power Science and Engineering - Ankara, Turkey
Duration: 27 Sept 202429 Sept 2024
Conference number: 13
https://www.icpse.org

Conference

ConferenceInternational Conference on Power Science and Engineering
Abbreviated titleICPSE
Country/TerritoryTurkey
CityAnkara
Period27/09/2429/09/24
Internet address

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

  • 202022 Information technology

Applied Research Level (ARL)

  • Not applicable

Research focus/foci

  • Industrial Informatics

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