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Security Attack Behavioural Pattern Analysis for Critical Service Providers
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-6176-6817
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Number of Authors: 32024 (English)In: Journal of Cybersecurity and Privacy, E-ISSN 2624-800X, Vol. 4, no 1, p. 55-75Article in journal (Refereed) Published
Abstract [en]

Identifying potential system attacks that define security requirements is crucial to building secure cyber systems. Moreover, the attack frequency makes their subsequent analysis challenging and arduous in cyber–physical systems (CPS). Since CPS include people, organisations, software, and infrastructure, a thorough security attack analysis must consider both strategic (social and organisa- tional) aspects and technical (software and physical infrastructure) aspects. Studying cyberattacks and their potential impact on internal and external assets in cyberspace is essential for maintaining cyber security. The importance is reflected in the work of the Swedish Civil Contingencies Agency (MSB), which receives IT incident reports from essential service providers mandated by the NIS direc- tive of the European Union and Swedish government agencies. To tackle this problem, a multi-realm security attack event monitoring framework was proposed to monitor, model, and analyse security events in social(business process), cyber, and physical infrastructure components of cyber–physical systems. This paper scrutinises security attack patterns and the corresponding security solutions for Swedish government agencies and organisations within the EU’s NIS directive. A pattern analysis was conducted on 254 security incident reports submitted by critical service providers. A total of five critical security attacks, seven vulnerabilities (commonly known as threats), ten attack patterns, and ten parallel attack patterns were identified. Moreover, we employed standard mitigation techniques obtained from recognised repositories of cyberattack knowledge, namely, CAPEC and Mitre, in order to conduct an analysis of the behavioural patterns.

Place, publisher, year, edition, pages
2024. Vol. 4, no 1, p. 55-75
Keywords [en]
Security pattern, IT-incidents, societal safety, cyber–physical systems, essential services, NIS-directive, socio-technical system, cyberattack
National Category
Computer Sciences
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-225867DOI: 10.3390/jcp4010004Scopus ID: 2-s2.0-85188965873OAI: oai:DiVA.org:su-225867DiVA, id: diva2:1830970
Note

Special Issue, Secure Software Engineering

Available from: 2024-01-24 Created: 2024-01-24 Last updated: 2025-08-22Bibliographically approved
In thesis
1. Adaptive Framework for Security Attack Monitoring in Cyber-Physical Systems
Open this publication in new window or tab >>Adaptive Framework for Security Attack Monitoring in Cyber-Physical Systems
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The dissertation presents an adaptive security framework for cyber-physicalsystems (CPSs) to address the growing challenges posed by evolving cyberattacks. CPSs rely on seamless integration between computational and physical components, making security breaches potentially catastrophic. Traditional methods often fail to keep pace with rapidly advancing threats. The proposed framework leverages real-time monitoring and adaptive model predictive control to dynamically adjust defences based on the threat type, frequency, and severity. By forecasting the impact of various strategies, the system identifies optimal responses to enhance resilience and mitigate risks. The approach strengthens CPS security by adapting to the continuously evolving threat landscape and safeguarding system integrity and functionality.

Place, publisher, year, edition, pages
Stockholm: Department of Computer and Systems Sciences, Stockholm University, 2025. p. 118
Series
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 25-007
Keywords
Cyber-Physical Systems, Adaptive Security, Cybersecurity, Cyber Threat Intelligence, Critical Infrastructure Protection, Resilience Engineering
National Category
Computer Sciences Software Engineering Security, Privacy and Cryptography
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-245872 (URN)978-91-8107-364-5 (ISBN)978-91-8107-365-2 (ISBN)
Public defence
2025-09-30, L30, NOD-huset, Borgarfjordsgatan 12 and online via Zoom, public link is available at the department website, Kista, 14:00 (English)
Opponent
Supervisors
Available from: 2025-09-05 Created: 2025-08-22 Last updated: 2025-08-29Bibliographically approved

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Seid, EliasPopov, OliverBlix, Fredrik

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