CICDDOS2019 is a dataset for cybersecurity research, specifically focused on Distributed Denial of Service attacks. It was published on the Kaggle platform. The specific data volume, collection methodology, and time period are not detailed in the available metadata.
Use Cases
- Training a classifier to distinguish DDoS attack traffic from benign network flows (inferred from domain, verify after download)
- Benchmarking anomaly detection algorithms on network traffic data (inferred from domain, verify after download)
- Analyzing patterns and features of different DDoS attack vectors (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a major platform for data science and machine learning.
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 formats, and license information are unknown, which may limit suitability assessment.