Use of machine learning for anomaly detection in netflow data Posted:
Threshold based alerting on netflow data has been proved to be ineffective even for a binary classification for DDoS/not DDoS flows. This brief investigation wants to show that common patterns emerge from analysis on aggregated netflow data that can allow automatic identification of such patterns using machine learning.