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Security Challenges in Energy Flexibility Markets: A Threat Modelling-Based Cyber-Security Analysis
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering. Department of Computer and Information Science, Linköping University, Linköping, Sweden.ORCID iD: 0000-0001-9886-6651
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.ORCID iD: 0000-0003-3922-9606
Department of Wind and Energy Systems, Technical University of Denmark, 4000 Roskilde, Denmark.
School of Computer Science and Engineering, Digital University Kerala, Thiruvananthapuram 695317, India.
2024 (English)In: Electronics, E-ISSN 2079-9292, Vol. 13, no 22, article id 4522Article in journal (Refereed) Published
Abstract [en]

Flexibility markets are crucial for balancing the decentralised and renewable-driven energy landscape. This paper presents a security evaluation of a flexibility market system using a threat modelling approach. A reference architecture for a typical flexibility market system is proposed, and attack graph-driven simulations are performed to analyse potential attack pathways where malicious actors might infiltrate the system and the vulnerabilities they might exploit. Key findings include the identification of high-risk areas, such as the Internet links between market actors. To mitigate these risks, the paper proposes and evaluates multiple protection scenarios in reducing the identified attack vectors. The findings underline the importance of multi-layered security strategies to safeguard flexibility markets from increasingly sophisticated cyber threats.

Place, publisher, year, edition, pages
MDPI AG , 2024. Vol. 13, no 22, article id 4522
Keywords [en]
attack graphs, distributed energy resources, security analysis, smart grid
National Category
Computer Sciences Embedded Systems
Identifiers
URN: urn:nbn:se:kth:diva-357175DOI: 10.3390/electronics13224522ISI: 001364705500001Scopus ID: 2-s2.0-85210250867OAI: oai:DiVA.org:kth-357175DiVA, id: diva2:1918252
Note

QC 20241209

Available from: 2024-12-04 Created: 2024-12-04 Last updated: 2024-12-09Bibliographically approved

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Afzal, ZeeshanEkstedt, Mathias

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CiteExportLink to record
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