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REDUCING THE MONITORING REGISTER FOR THE DETECTION OF ANOMALIES IN SOFTWARE DEFINED NETWORKS

, and . Computer Science & Information Technology (CS & IT) 7 (14): 7 (October 2017)

Abstract

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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