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Showing 1 to 3 of 3 for “"KDD Cup 99"”.

  1. Machine learning for network based intrusion detection: an investigation into discrepancies in findings with the KDD cup '99 data set and multi-objective evolution of neural network classifier ensembles from imbalanced data.

    … for network based intrusion detection on the KDD Cup '99 data set. This data set has served well to demonstrate that machine learning can be useful in intrusion detection. However, it has undergone some criticism in the literature, and it is out of date. Therefore, some researchers question …

    bournemouth Repository record for Machine learning for network based intrusion detection: an investigation into discrepancies in findings with the KDD cup '99 data set and multi-objective evolution of neural network classifier ensembles from imbalanced data. (opens in a new tab)

  2. Using Self-Organizing Maps for Computer Network Intrusion Detection

    … as other neural network approaches. Using the KDD Cup 99 dataset, we compared our own SOM implementation against other neural network implementations and determine the effectiveness of such an approach.</p>

    columbus-state Repository record for Using Self-Organizing Maps for Computer Network Intrusion Detection (opens in a new tab)

  3. Detection of denial-of-service attacks based on computer vision techniques

    … large volume of useless network traffic. Since 1990s, DoS attacks have emerged as a type of the most severe network intrusive behaviours and have posed serious threats to the infrastructures of computer networks and various network-based services. This thesis aims to provide an intelligent and …

    uts Repository record for Detection of denial-of-service attacks based on computer vision techniques (opens in a new tab)