InSDN: Network Traffic Data for DDoS and Attack Detection

InSDN is a dataset derived for learning purposes, focusing on network security. It contains traffic data labeled for categories including DDoS, Probe, Normal, DoS, and Brute Force attacks. The dataset's author, organization, and specific collection details are not provided.

Use Cases

• Train machine learning models for DDoS attack classification based on labeled traffic categories.
• Benchmark anomaly detection algorithms against normal and various attack traffic patterns.
• Study network behavior during brute force and probe attacks based on the described attack types.

Strengths

• Focuses on multiple specific attack types (DDoS, Probe, DoS, Brute Force) for targeted analysis.
• Designed explicitly for learning and educational purposes.

Limitations

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

Provenance

Source

Derived from the InSDN dataset.

Collection Method

Derivation method for learning purposes is unspecified.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

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