Abstract
This paper provides a first step towards a reference model for end-to-end cybersecurity by design in the electricity sector. The envisioned reference model relies, among others, on the integrated consideration of two currently fragmented, but complementary, reference models: NISTIR 7628 and powerLang. As an underlying language architecture of choice, we rely on multi-level modeling, specifically on the Flexible Meta Modeling and Execution Language (FMMLx), as multi-level modeling supports a natural integration across different abstraction levels inherent to reference models. This paper’s contributions are a result of one full consideration of Wieringa’s engineering cycle: for problem investigation, we describe the problems the reference model should address; for treatment design, we contribute the requirements the reference model should fulfill; for treatment implementation, we provide reference model’s fragments implemented in an integrated modeling and programming environment. Finally, for treatment evaluation, we perform expert interviews to check, among others, the artefact’s relevance and utility.
| Original language | English |
|---|---|
| Title of host publication | ECIS 2022 Research Papers |
| Number of pages | 16 |
| Publication status | Published - Jun 2022 |
| Event | 30th European Conference on Information Systems (ECIS 2022): New Horizons in Digitally United Societies - West University of Timisoara, Timisoara, Romania Duration: 18 Jun 2022 → 24 Jun 2022 Conference number: 30 https://ecis2022.eu/ |
Publication series
| Name | AIS Electronic Library |
|---|---|
| Volume | 89 |
Conference
| Conference | 30th European Conference on Information Systems (ECIS 2022) |
|---|---|
| Abbreviated title | ECIS |
| Country/Territory | Romania |
| City | Timisoara |
| Period | 18/06/22 → 24/06/22 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Cybersecurity By Design
- Smart Grid
- Multi-Level Reference Model
- Security Analysis
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