Model Drift in Network Security Data
Capture
MDPI paper on detecting and responding to concept drift in network security data streams.
Glossary Gap Coverage
- Model Drift
- Concept Drift
- MLOps
- Detection Engineering
- False Positive / False Negative
Security Relevance
Model drift is a practical risk for AI-for-security systems because traffic, adversary behavior, infrastructure, and label quality change over time. This source supports a security-specific glossary entry rather than a generic ML definition.
Notes
- Inspect full paper before extracting quantitative results.