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.

• Periodical: Applied Mechanics and Materials (Volume 610)
• Pages: 606-610
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.610.606
• Online since: August 2014
• Authors: Yong Xiang Xia*, Zhi Cai Shi, Yu Zhang, Jian Dai
• Keywords: CUDA, GPU, Intrusion Detection, SVM

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