  Characterization of data network monitoring registers allows for reductions
in the number of data, which is essential when the information flow is high,
and implementation of processes with short response times, such as interchange
of control information between devices and anomaly detection is required. The
present investigation applied wavelet transforms, so as to characterize the
statistic monitoring register of a software-defined network. Its main
contribution lies in the obtention of a record that, although reduced, retains
detailed, essential information for the correct application of anomaly
detectors.
