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.
Reducing the number of processed data, when the information flow is high, is essential in processes that require short response times, such as the detection of anomalies in data networks. This work applied the wavelet transform in the reduction of the size of the monitoring register of a software defined network. Its main contribution lies in obtaining a record that, although reduced, retains detailed information required by the detectors of anomalies.
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