Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/17745
Title: | An Intrusion Detection Framework Based on Hybrid Multi-Level Data Mining |
Authors: | Yao, H Wang, Q Wang, L Zhang, P Li, M Liu, Y |
Keywords: | Intrusion Detection System;Multi-Level;Machine Learning;Data Engineering;KDDCUP99 |
Issue Date: | 25-Oct-2017 |
Publisher: | Springer |
Citation: | International Journal of Parallel Programming, 2017, pp. 1 - 19 |
URI: | http://bura.brunel.ac.uk/handle/2438/17745 |
DOI: | http://dx.doi.org/10.1007/s10766-017-0537-7 |
ISSN: | 0885-7458 http://dx.doi.org/10.1007/s10766-017-0537-7 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | 1.06 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.