Detection of Denial of Service attacks using a naive Bayesian classifier

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Title: Detection of Denial of Service attacks using a naive Bayesian classifier.
Author(s): Richard Imenes, Åsmund Myklevoll and Kristen Gravelseter.
Published date: December 2006.
Published at: Web-Mining and Data Analysis 2006

Abstract

This project is a proof -of-concept of self learning intrusion detection systems. The project goal is to prove that it is possible to make this using a Naive Bayesian classifier. Through the project we have tested a dataset using Orange, and seen what kind of classification results we can get. This project does not contribute with any new knowledge in the field of self-learning intrusion detection systems, but has acted as part of our education and has given us more knowledge about the subject.

The author of this document is:
Morten Goodwin
E-mail address is:
morten.goodwin [at] tingtun.no
Phone is:
+47 95 24 86 79