Security Assurance Cases -- State of the Art of an Emerging Approach
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Abstract (arXiv)
Security Assurance Cases (SAC) are a form of structured argumentation used to reason about the security properties of a system. After the successful adoption of assurance cases for safety, SACs are getting significant traction in recent years, especially in safety-critical industries (e.g., automotive), where there is an increasing pressure to be compliant with several security standards and regulations. Accordingly, research in the field of SAC has flourished in the past decade, with different approaches being investigated. In an effort to systematize this active field of research, we conducted a systematic literature review (SLR) of the existing academic studies on SAC. Our review resulted in an in-depth analysis and comparison of 51 papers. Our results indicate that, while there are numerous papers discussing the importance of security assurance cases and their usage scenarios, the literature is still immature with respect to concrete support for practitioners on how to build and maintain a SAC. More importantly, even though some methodologies are available, their validation and tool support is still lacking.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Mar 2020.
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Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2026Evaluating Assurance Cases as Text-Attributed Graphs for Structure and Provenance Analysiscited by 1
- 2025E-LENS: User Requirements-Oriented AI Ethics Assurancecited by 0
- 2025OntoGSN: An Ontology-Based Framework for Semantic Management and Extension of Assurance Casescited by 0
- 2026Safety Case Patterns for VLA-based driving systems: Insights from SimLingocited by 0
- 2026Evaluating Assurance Cases as Text-Attributed Graphs for Structure and Provenance Analysis22 Apr 2026
- 2026Safety Case Patterns for VLA-based driving systems: Insights from SimLingo16 Mar 2026
- 2025OntoGSN: An Ontology-Based Framework for Semantic Management and Extension of Assurance Cases20 May 2025
- 2025E-LENS: User Requirements-Oriented AI Ethics Assurance6 Feb 2025