The application of k-means algorithm based on 2-SVM in Intrusion System
Shizhen Zhao, Qiang Yu, Yu Fu, Wei Song
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.259How to use a DOI?
- Intrusion detection; local optimum; Detection rate
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/icmmcce-15.2015.259 ID - Zhao2015/12 ER -