Tool-Supported Architecture-Based Data Flow Analysis for Confidentiality
August 03, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Felix Schwickerath, Nicolas Boltz, Sebastian Hahner, Maximilian Walter, Christopher Gerking, Robert Heinrich
arXiv ID
2308.01645
Category
cs.SE: Software Engineering
Cross-listed
cs.CR
Citations
1
Venue
arXiv.org
Last Checked
5 months ago
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.
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