An Ontology-Driven Approach for Process-Aware Risk Propagation

Gal Engelberg, Mattia Fumagalli, Adrian Kuboszek, Dan Klein, Pnina Soffer, Giancarlo Guizzardi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023
PublisherAssociation for Computing Machinery
Pages1742-1745
Number of pages4
ISBN (Electronic)9781450395175
DOIs
StatePublished - 27 Mar 2023
Event38th Annual ACM Symposium on Applied Computing, SAC 2023 - Tallinn, Estonia
Duration: 27 Mar 202331 Mar 2023

Publication series

NameProceedings of the 38th ACM/SIGAPP Symposium on Applied Computing

Conference

Conference38th Annual ACM Symposium on Applied Computing, SAC 2023
Country/TerritoryEstonia
CityTallinn
Period27/03/2331/03/23

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author(s).

Keywords

  • ontology-driven risk propagation
  • risk analytics
  • risk propagation

ASJC Scopus subject areas

  • Software

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