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Towards a Data Flow Diagram-Centric Confidentiality Analysis in Palladio

dc.contributor.authorHüller, Tom
dc.contributor.authorSchwickerath, Felix
dc.contributor.authorArp, Benjamin
dc.contributor.authorNiehues, Nils
dc.contributor.authorBoltz, Nicolas
dc.contributor.authorHahner, Sebastian
dc.contributor.editorHerrmann, Andrea
dc.date.accessioned2025-01-08T13:30:56Z
dc.date.available2025-01-08T13:30:56Z
dc.date.issued2024
dc.description.abstractThe Palladio approach enables software architects to create architectural models of their systems for early cost, performance, and maintainability analysis. Using a data flow-based confidentiality analysis, it is also possible to detect confidentiality violations in software systems modeled with the Palladio Component Model (PCM). However, many software architects work directly with Data Flow Diagrams (DFDs) because of their decreased complexity and their ability to make pinpointing specific information security issues easier. To achieve the best of both worlds, a conversion is needed that semantically preserves all security-related information. This paper presents a transformation of PCM instances into information security-annotated DFDs, that can be used by software architects to visualize the data flow analysis results graphically and identify potential confidentiality violations. In our evaluation, we show that the analysis results of the transformed DFDs are equivalent to those of the original PCM instances.en
dc.identifier.issn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45518
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 44, Heft 4
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectPalladio
dc.subjectComponent Model
dc.subjectconfidentiality analysis
dc.subjectData Flow Diagram
dc.subjecttransformation
dc.titleTowards a Data Flow Diagram-Centric Confidentiality Analysis in Palladioen
dc.typeText/Conference Paper
mci.conference.dateNovember 6-7, 2024
mci.conference.locationLinz, Austria
mci.conference.sessiontitle15th Symposium on Software Performance 2024
mci.reference.pages33-35

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