Kubernetes IDS Dataset Normal + Attacks is a dataset for security analysis hosted on Kaggle. It likely contains network or system logs from a Kubernetes environment, labeled to distinguish between normal and attack traffic. The dataset's author, organization, and specific details are not provided in the available metadata.
Use Cases
- Train a binary classifier to identify malicious activity in Kubernetes logs (inferred from domain, verify after download)
- Benchmark anomaly detection algorithms on cloud-native infrastructure data (inferred from domain, verify after download)
- Analyze patterns of attack behavior specific to container orchestration platforms (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with established data sharing and versioning tools.
- The title indicates a clear binary classification target: normal vs. attack traffic.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.