The application of k-means algorithm based on 2-SVM in Intrusion System

DOI

10.2991/icmmcce-15.2015.259How to use a DOI?

Keywords

Intrusion detection; local optimum; Detection rate

Abstract

After analyzing the superiority and the deficiency of K-means clustering algorithm, the author put forwards the IDS based on the 2-SVM, according to the research achievement on SVM in the field of IDS. The result shows that this algorithm can avoid the problem of decreasing detection rate by local optimum while using the K-means clustering algorithm alone.

Copyright

© 2015, 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/).

Download article (PDF)

TY  - CONF
AU  - Shizhen Zhao
AU  - Qiang Yu
AU  - Yu Fu
AU  - Wei Song
PY  - 2015/12
DA  - 2015/12
TI  - The application of k-means algorithm based on 2-SVM in Intrusion System
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.259
DO  - 10.2991/icmmcce-15.2015.259
ID  - Zhao2015/12
ER  -