A Detection Method of Network Intrusion Based on SVM and Ant Colony Algorithm
Jianfeng Pu, Lizhi Xiao, Yanzhi Li, Xingwen Dong
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.237How to use a DOI?
- Network Defense; Intrusion Detection; Support Vector Machine (SVM); Ant Colony Algorithm
- This paper researches the intrusion detection problem of the network defense, pointing at the problem of low fitting defects in the traditional detection algorithm of high precision and low forecasting accuracy under the situation of small sample training, and puts forward the algorithm of Support Vector Machine. Aimed at the important influence of SVM kernel function on classification performance, this paper adopts the improved Ant Colony Algorithm as the method of selection SVM characteristics parameters. Experiments show this algorithm is significantly higher than the other algorithm in training and the detection speed, and have a high enhance of the detection rates of attacking sample.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jianfeng Pu AU - Lizhi Xiao AU - Yanzhi Li AU - Xingwen Dong PY - 2012/11 DA - 2012/11 TI - A Detection Method of Network Intrusion Based on SVM and Ant Colony Algorithm BT - 2012 National Conference on Information Technology and Computer Science PB - Atlantis Press SP - 932 EP - 935 SN - 1951-6851 UR - https://doi.org/10.2991/citcs.2012.237 DO - https://doi.org/10.2991/citcs.2012.237 ID - Pu2012/11 ER -