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Security Attack Behavioural Pattern Analysis for Critical Service Providers
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0001-6176-6817
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Rekke forfattare: 32024 (engelsk)Inngår i: Journal of Cybersecurity and Privacy, E-ISSN 2624-800X, Vol. 4, nr 1, s. 55-75Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
2024. Vol. 4, nr 1, s. 55-75
Emneord [en]
Security pattern, IT-incidents, societal safety, cyber–physical systems, essential services, NIS-directive, socio-technical system, cyberattack
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-225867DOI: 10.3390/jcp4010004Scopus ID: 2-s2.0-85188965873OAI: oai:DiVA.org:su-225867DiVA, id: diva2:1830970
Merknad

Special Issue, Secure Software Engineering

Tilgjengelig fra: 2024-01-24 Laget: 2024-01-24 Sist oppdatert: 2025-08-22bibliografisk kontrollert
Inngår i avhandling
1. Adaptive Framework for Security Attack Monitoring in Cyber-Physical Systems
Åpne denne publikasjonen i ny fane eller vindu >>Adaptive Framework for Security Attack Monitoring in Cyber-Physical Systems
2025 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Stockholm: Department of Computer and Systems Sciences, Stockholm University, 2025. s. 118
Serie
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 25-007
Emneord
Cyber-Physical Systems, Adaptive Security, Cybersecurity, Cyber Threat Intelligence, Critical Infrastructure Protection, Resilience Engineering
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
urn:nbn:se:su:diva-245872 (URN)978-91-8107-364-5 (ISBN)978-91-8107-365-2 (ISBN)
Disputas
2025-09-30, L30, NOD-huset, Borgarfjordsgatan 12 and online via Zoom, public link is available at the department website, Kista, 14:00 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2025-09-05 Laget: 2025-08-22 Sist oppdatert: 2025-08-29bibliografisk kontrollert

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Seid, EliasPopov, OliverBlix, Fredrik

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