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Using feature selection for intrusion detection system

Alazab, Ammar; Hobbs, Michael; Abawajy, Jemal; Alazab, Mamoun


A good intrusion system gives an accurate and efficient classification results. This ability is an essential functionality to build an intrusion detection system. In this paper, we focused on using various training functions with feature selection to achieve high accurate results. The data we used in our experiments are NSL-KDD. However, the training and testing time to build the model is very high. To address this, we proposed feature selection based on information gain, which can contribute...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
DOI: 10.1109/ISCIT.2012.6380910


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