A graphical feature generation approach for intrusion detection
In order to develop a novel effective and efficient intrusion detection system, a novel hybrid method based on a graphical features-based k-nearest neighbor approach, namely GFNN, is proposed in this paper. In GFNN, k-means clustering algorithm is used to extract cluster centre of each class in the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2016-01-01
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| Series: | MATEC Web of Conferences |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20164402041 |