Architecture-based Uncertainty Impact Analysis for Confidentiality

Sebastian Hahner from the Karlsruhe Institute of Technology created this dataset for the paper "Architecture-based Uncertainty Impact Analysis to ensure Confidentiality". The dataset is hosted on paperswithcode and is licensed as Open Access (green). Further documentation is available via the project website at https://abunai.dev.

Use Cases

• Training models to predict confidentiality risks based on architectural uncertainty factors.
• Benchmarking uncertainty quantification methods for security properties.
• Analyzing the relationship between architectural decisions and confidentiality assurance.

Strengths

• Dataset is directly associated with a published academic paper, providing a research context.
• The dataset is licensed as Open Access (green), facilitating reuse and distribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Karlsruhe Institute of Technology

Collection Method

Created for the associated research paper.