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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 |
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