Network Intrusion Classification Based on Key Features

Khorshed Alam's 9.5 KB Excel file compares methods for classifying network intrusions. The dataset likely contains key features used to distinguish between normal and malicious network activity. It was last updated on April 16, 2026.

Use Cases

• Benchmark intrusion detection algorithms based on key features
• Evaluate feature importance for network security classification
• Train machine learning models for anomaly detection in network traffic

Strengths

• File size is 9.5 KB, indicating a concise and focused dataset
• Released under the CC-BY-4.0 license, allowing for open use and redistribution

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

Khorshed Alam via figshare

Freshness

Last updated 2026-04-16 17:40:20