40,000 records documenting cyber security attacks across 25 distinct metrics. The data provides a structured overview of security incidents and their associated technical parameters.
Use Cases
- Train classification models to identify attack types based on the 25 provided metrics
- Perform anomaly detection across 40,000 records to flag suspicious network behavior
- Conduct feature importance analysis to determine which of the 25 metrics most strongly correlate with specific security threats
Strengths
- 40,000 individual records documenting cyber security incidents
- 25 distinct metrics representing different dimensions of network or system attacks
- Structured tabular format suitable for classification or anomaly detection tasks