Abstract
Risk Propagation (RP) is a central technique that allows the calculation of the cascading effect of risk within a system. At the current state, there is a lack of risk propagation solutions that can be used to assess the impact of risk at different levels of abstraction, accounting for actors, processes, physical-digital objects, and their relations. To fill this gap, in this paper, we propose a process-aware risk propagation approach that builds on two main components: i. an ontology, which supports functionalities typical of Semantic Web technologies (SWT), and ii. an ad hoc method to calculate the propagation of risk within the given system. We implemented our approach in a proof-of-concept tool, which was validated in the cybersecurity domain.
Original language | English |
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Title of host publication | Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023 |
Publisher | Association for Computing Machinery |
Pages | 1742-1745 |
Number of pages | 4 |
ISBN (Electronic) | 9781450395175 |
DOIs | |
State | Published - 27 Mar 2023 |
Event | 38th Annual ACM Symposium on Applied Computing, SAC 2023 - Tallinn, Estonia Duration: 27 Mar 2023 → 31 Mar 2023 |
Publication series
Name | Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing |
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Conference
Conference | 38th Annual ACM Symposium on Applied Computing, SAC 2023 |
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Country/Territory | Estonia |
City | Tallinn |
Period | 27/03/23 → 31/03/23 |
Bibliographical note
Publisher Copyright:© 2023 Owner/Author(s).
Keywords
- ontology-driven risk propagation
- risk analytics
- risk propagation
ASJC Scopus subject areas
- Software