Android Malware Dataset with Static and Dynamic Analysis Features

A multi-cluster dataset for Android malware analysis. It includes data from both static and dynamic analysis methods. The dataset is hosted on Kaggle, but specific details about its size, origin, and update frequency are not provided.

Use Cases

• Train malware detection classifiers based on static analysis features.
• Develop models to identify malicious behavior based on dynamic analysis features.
• Compare the effectiveness of static versus dynamic analysis for Android malware identification.
• Perform clustering analysis on malware families using the multi-cluster structure.

Strengths

• Includes data from both static and dynamic analysis, which provides a multi-faceted view of malware.
• Described as a multi-cluster dataset, suggesting it may be structured for classification tasks.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Kaggle

Collection Method

Likely gathered through automated analysis of Android APK files.