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.
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.
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.
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 Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 04 Jun 2020 13:55 |
| Last Modified: | 23 Sep 2022 19:01 |
| URI: | http://repository.essex.ac.uk/id/eprint/27784 |
Available files
Filename: Increasing the rate.pdf