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Increasing the rate of intrusion detection based on a hybrid technique

Ali Alheeti, Khattab M and Al-Jobouri, Laith and McDonald-Maier, Klaus (2013) Increasing the rate of intrusion detection based on a hybrid technique. In: 2013 5th Computer Science and Electronic Engineering Conference (CEEC), 2013-09-17 - 2013-09-18, Colchester, UK.

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Abstract

This paper presents techniques to increase intrusion detection rates. Theses techniques are based on specific features that are detected and it's shown that a small number of features (9) can yield improved detection rates compared to higher numbers. These techniques utilize soft computing techniques such a Backpropagation based artificial neural networks and fuzzy sets. These techniques achieve a significant improvement over the state of the art for standard DARPA benchmark data.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2013 5th Computer Science and Electronic Engineering Conference (CEEC)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 04 Jun 2020 13:55
Last Modified: 04 Jun 2020 14:15
URI: http://repository.essex.ac.uk/id/eprint/27784

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