ADAPTIVE ANOMALY INTRUSION DETECTION SYSTEM USING OPTIMIZED HOEFFDING TREE

@inproceedings{Farid2014ADAPTIVEAI,
  title={ADAPTIVE ANOMALY INTRUSION DETECTION SYSTEM USING OPTIMIZED HOEFFDING TREE},
  author={Dewan Md. Farid and Ahmed A. Elngar},
  year={2014}
}
Anomaly Intrusion Detection System is used to identify a new attack in the network by identifying the deviations in the network traffic patterns. Though it identifies new attacks efficiently, the false alarm rate is usually high in this system. As there may be attack in the network at any time and as the input traffic varies over time, we need a model which efficiently identifies the change in the network traffic and adapts quickly to generate an alarm. In this paper we have proposed an… CONTINUE READING

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