@inproceedings{1cc1a166ee2d4b7180badf47518f903e,
title = "A SVM intrusion detection method based on GPU",
abstract = "To optimize training procedure of IDS based on SVM and reduce time consumption, a SVM intrusion detection method based on GPU is proposed in the study. During the simulation experiments with KDD Cup 1999 data, GPU-based parallel computing model is adopted. Results of the simulation experiments demonstrate that time consumption in the training procedure of IDS is reduced, and performance of IDS is kept as usual.",
keywords = "CUDA, GPU, Intrusion detection, SVM",
author = "Yongxiang Xia and Zhicai Shi and Yu Zhang and Jian Dai",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.610.606",
language = "English",
isbn = "9783038351757",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications",
pages = "606--610",
editor = "Jun Wang",
booktitle = "Mechanics, mechatronics, intelligent system and information technology",
address = "Switzerland",
note = "International Conference on Applied Mechanics, Mechatronics and Intelligent System ; Conference date: 18-04-2014 Through 20-04-2014",
}