Malware Benign API: System Call Sequences

Malware_benign_API is a dataset from Kaggle. It likely contains sequences of API calls made by software, distinguishing between malicious and benign programs. The specific number of samples, features, and collection methodology are unknown from the provided metadata.

Use Cases

• Train a binary classifier to distinguish malware from benign software based on API call patterns (inferred from domain, verify after download)
• Analyze the frequency and sequence of specific system calls used by malicious programs (inferred from domain, verify after download)
• Feature engineering for dynamic analysis tools in cybersecurity (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with an active community for data sharing and discussion.
• The title suggests a clear binary classification target (malware vs. benign).

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and sample data are unknown, which limits suitability assessment.
• License and authorship details are absent, affecting reproducibility and usage rights.

Provenance

Source

Kaggle