Intrusion Detection with Probabilistic Neural Network: Comparative Analysis

EasyChair Preprint 129

Abstract

The use of machine learning techniques has significantly increased recently. The classification of normal or abnormal situations in network traffic is successfully applied with machine learning techniques. It is possible to encounter False Positive situations during the classification process. With Probabilistic Neural Network (PNN) model, it is aimed to explore the intrusion and its types within network traffic with probabilistic distribution. Knowledge Discovery Dataset (KDD99) will be used in this study.

Keyphrases: Intrusion Detection, KDD99, Probabilistic Neural Network

@booklet{EasyChair:129,
  author    = {Ibrahim Atay},
  title     = {Intrusion Detection with Probabilistic Neural Network: Comparative Analysis},
  howpublished = {EasyChair Preprint 129},
  year      = {EasyChair, 2018}}