dhanalakshmi.v@saranshinc.com
- Apply statistical modeling and data science techniques to transaction and TCP L4 telemetry to identify anomalous traffic and behavioral patterns.
- Build behavioral baselines and anomaly detection models using time-series analysis, clustering, correlation, outlier detection, and statistical thresholds.
- Engineer features from transaction, connection, velocity, retry, batch, and historical alert data to improve detection accuracy.
- Develop statistical scoring and classification models to differentiate legitimate, duplicate, retry, anomalous, and potential DDoS activity.
- Analyze historical incidents and alerts to optimize detection thresholds and reduce false positives.
