Accepted Papers

  • Reducing Register of Monitoring for Detection of Anomalies on Software Defined Networks
    Luz Angela Aristizábal Q. and Nicolás Toro G., National University, Colombia
    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 shrunken, retains detailed information required by the detectors of anomalies.