Description of Data
The dataset consists of engineered features extracted from the metadata of software packages, designed to help identify whether a package is benign or malicious. These features capture various aspects of the package, including version details, description length, license presence, repository information, and dependency structure. Together, these features provide a rich set of metadata insights that can be used for machine learning models to predict potentially malicious packages and secure software supply chains.
| Date made available | 2024 |
|---|---|
| Publisher | Charles Sturt University |
| Date of data production | 2024 |