Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/17747| Title: | MSML: A Novel Multi-level Semi-supervised Machine Learning Framework for Intrusion Detection System |
| Authors: | Yao, H Fu, D Zhang, P Li, M Liu, Y |
| Keywords: | intrusion detection;semi-supervised learning;unknown pattern discovery;class imbalance;non-identical distribution |
| Issue Date: | 1-Oct-2018 |
| Publisher: | IEEE |
| Citation: | IEEE Internet of Things Journal, 2018, pp. 1 - 11 |
| URI: | http://bura.brunel.ac.uk/handle/2438/17747 |
| DOI: | http://dx.doi.org/10.1109/JIOT.2018.2873125 |
| ISSN: | 2327-4662 http://dx.doi.org/10.1109/JIOT.2018.2873125 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 1.16 MB | Adobe PDF | View/Open |
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