A novel statistical technique for intrusion detection systems
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Kabir, E, Hu, J, Wang, Hua 
ORCID: 0000-0002-8465-0996 and Zhuo, G
(2016)
A novel statistical technique for intrusion detection systems.
Future Generation Computer Systems.
ISSN 0167-739X
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/34540 |
| DOI | 10.1016/j.future.2017.01.029 |
| Official URL | http://www.sciencedirect.com/science/article/pii/S... |
| Subjects | Historical > FOR Classification > 0803 Computer Software Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics Current > Division/Research > College of Science and Engineering |
| Keywords | Least Square Support Vector Machine; LS-SVM; information systems; security; IDS; network security |
| Citations in Scopus | 139 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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