CicMalDroid-2020: Android Malware Dataset

Android malware samples likely collected in 2020, as suggested by the dataset's codename. The dataset is hosted on Kaggle and is tagged for machine learning and cybersecurity applications. The specific author, collection method, and data volume are not provided in the available metadata.

Use Cases

• Train a classifier to distinguish between benign and malicious Android apps (inferred from domain, verify after download)
• Analyze static or dynamic features of Android malware samples (inferred from domain, verify after download)
• Benchmark machine learning models for mobile security (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing and versioning tools.
• Platform tags indicate relevance for machine learning and cybersecurity tasks.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file size, and license are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Collection method is unknown.

Time Range

Likely 2020, inferred from the dataset codename.

Freshness

Last update date is unknown; freshness unverified.

Geography

Geographic coverage is unknown.