NeuDetect: A Neural Network Data Mining Wireless Network Intrusion Detection System
Document Type
Conference Paper
Publication Date
2010
Publication Title
Proceedings of the Fourteenth International Database Engineering & Applications Symposium
First Page
38
Last Page
41
Abstract
This paper proposes NeuDetect, which applies a classification rule mining Neural Network technique to wireless network packets captured through hardware sensors for purposes of real time detection of anomalous packets. To address the problem of high false alarm rate confronted by current wireless intrusion detection systems, this paper presents a method of applying artificial neural networks mining classification technique to wireless network intrusion detection system. The proposed system, NeuDetect, solution approach is to find normal and anomalous patterns on pre-processed wireless packet records by comparing them with training data using Back-propagation algorithm.
DOI
10.1145/1866480.1866487
Recommended Citation
Ezeife, C. I. and Rahman, M. Z.. (2010). NeuDetect: A Neural Network Data Mining Wireless Network Intrusion Detection System. Proceedings of the Fourteenth International Database Engineering & Applications Symposium, 38-41.
https://scholar.uwindsor.ca/computersciencepub/41