Intrusion Detection Systems using Linear Discriminant Analysis and Logistic Regression

@article{Subba2015IntrusionDS,
  title={Intrusion Detection Systems using Linear Discriminant Analysis and Logistic Regression},
  author={Basant Subba and Santosh Biswas and Sushanta Karmakar},
  journal={2015 Annual IEEE India Conference (INDICON)},
  year={2015},
  pages={1-6}
}
Anomaly based Intrusion Detection System (IDS) identifies intrusion by training itself to recognize acceptable behavior of the network. It then raises an alarm whenever any anomalous network behaviors outside the boundaries of its training sets are observed. However, anomaly based IDS are usually prone to high false positive rate due to difficulties involved in defining normal and abnormal network traffic patterns. In this paper, we employ two different statistical methods viz. Linear… CONTINUE READING

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