SVM-DT-based adaptive and collaborative intrusion detection
Download
Download
Download
Full text for this resource is not available from the Research Repository.
Export
Teng, S, Wu, N, Zhu, H, Teng, Luyao and Zhang, W (2018) SVM-DT-based adaptive and collaborative intrusion detection. IEEE/CAA Journal of Automatica Sinica, 5 (1). pp. 108-118. ISSN 2329-9266
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/38518 |
| DOI | 10.1109/JAS.2017.7510730 |
| Official URL | https://ieeexplore.ieee.org/document/8232594 |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 0802 Computation Theory and Mathematics Current > Division/Research > College of Science and Engineering |
| Keywords | network security; intrusion detection system; E-CARGO; CAIDM; decision trees; support vector machines; pattern recognition; data classification |
| Citations in Scopus | 88 - View on Scopus |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)