SVM-DT-based adaptive and collaborative intrusion detection

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

View Altmetric information about this item.

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

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)