Anomaly intrusion detection based on PLS feature extraction and core vector machine

Abstract

0950-7051/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.knosys.2012.09.004 ⇑ Corresponding author. Address: Equipment Mana ing College, Air Force Engineering University, Shaanxi, 15934896556. E-mail address: Ganxsheng123@163.com (X.-s. Ga To improve the ability of detecting anomaly intrusions, a combined algorithm is proposed based on… (More)
DOI: 10.1016/j.knosys.2012.09.004

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@article{Gan2013AnomalyID, title={Anomaly intrusion detection based on PLS feature extraction and core vector machine}, author={Xu-sheng Gan and Jing-shun Duanmu and Jia-fu Wang and Wei Cong}, journal={Knowl.-Based Syst.}, year={2013}, volume={40}, pages={1-6} }