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Tool-Supported Architecture-Based Data Flow Analysis for Confidentiality

Schwickerath, Felix 1; Boltz, Nicolas ORCID iD icon 1; Hahner, Sebastian ORCID iD icon 1; Walter, Maximilian ORCID iD icon 1; Gerking, Christopher ORCID iD icon 1; Heinrich, Robert 1
1 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)

Abstract:

Through the increasing interconnection between various systems, the need for confidential systems is increasing. Confidential systems share data only with authorized entities. However, estimating the confidentiality of a system is complex, and adjusting an already deployed software is costly. Thus, it is helpful to have confidentiality analyses, which can estimate the confidentiality already at design time. Based on an existing data-flow-based confidentiality analysis concept, we reimplemented a data flow analysis as a Java-based tool. The tool uses the software architecture to identify access violations based on the data flow. The evaluation for our tool indicates that we can analyze similar scenarios and scale for certain scenarios better than the existing analysis.


Volltext §
DOI: 10.5445/IR/1000161187
Veröffentlicht am 04.08.2023
Originalveröffentlichung
DOI: 10.48550/arXiv.2308.01645
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Forschungsbericht/Preprint
Publikationsdatum 03.08.2023
Sprache Englisch
Identifikator KITopen-ID: 1000161187
HGF-Programm 46.23.03 (POF IV, LK 01) Engineering Security for Mobility Systems
Verlag arxiv
Projektinformation SofDCar (BMWK, 19S21002K)
Schlagwörter Confidentiality, Software Architecture, Security
Nachgewiesen in Dimensions
arXiv
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