Overview

This dataset focuses on detecting security patches by analyzing software behavioral data. It contains logs and activity traces that can be used to develop automated patch detection mechanisms.

Dataset Features

• Logs of software behavior before and after patching.
• Annotations indicating security-relevant changes.
• Suitable for cybersecurity research and machine learning applications.

Usage

This dataset is useful for:

• Identifying security patches through machine learning.
• Studying software behavior changes due to updates.
• Automating vulnerability detection in software.