Vidarshana W. Bandara

A MATALB^® Toolkit for Network Traffic Anomaly Analysis

The toolkit performs:

De-trending and thresholding for anomaly detection

Graph wavelet based summarizing and anomaly tracing

Distribution fitting to spatial and temporal parameters

Simulator/Emulator to regenerate statistically similar anomalies

The toolkit is developed for Internet2 dataset, but customizable for other datasets.

Anomaly Detection

Activity on a link

Activity over the network

Estimating parameters

Simulator