Cubic Polynomial Smooth Support Vector Machine Used in Intrusion Detection
Authors
Zhixin Cai
Corresponding Author
Zhixin Cai
Available Online April 2016.
- DOI
- 10.2991/icmemtc-16.2016.244How to use a DOI?
- Keywords
- Intrusion Detection; Polynomial support vector machine; accuracy; Data mining
- Abstract
In the research of intrusion detection, we mainly focus on how to improve the accuracy of detection. Based on the introduction of support vector machine, this paper proposes a cubic polynomial smooth support vector machine model and uses it into intrusion detection. Subsequently we analyze each part of the model. Finally we conducted experiments to show that the proposed algorithm has higher accuracy than similar algorithms in Intrusion Detection.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhixin Cai PY - 2016/04 DA - 2016/04 TI - Cubic Polynomial Smooth Support Vector Machine Used in Intrusion Detection BT - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control PB - Atlantis Press SP - 1236 EP - 1239 SN - 2352-5401 UR - https://doi.org/10.2991/icmemtc-16.2016.244 DO - 10.2991/icmemtc-16.2016.244 ID - Cai2016/04 ER -