Cluster Analysis of Smurf Type of Denial of Service Attack
Authors
Jigang Zheng, Jingmei Zhang
Corresponding Author
Jigang Zheng
Available Online September 2016.
- DOI
- 10.2991/meici-16.2016.2How to use a DOI?
- Keywords
- Intrusion detection; Characteristic property; Weka; Cluster analysis
- Abstract
Smurf denial of service attacks in the more common types of attacks,extracts the KDDCUP data set of denial of service the Smurf attack types,using the Weka to the attribute characteristic and cluster analysis,according to the similarity of attributes divided into 4 classes,and analyses the characteristics of various types,help to understand the network intrusion detection data set of internal rules.
- 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 - Jigang Zheng AU - Jingmei Zhang PY - 2016/09 DA - 2016/09 TI - Cluster Analysis of Smurf Type of Denial of Service Attack BT - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016) PB - Atlantis Press SP - 6 EP - 9 SN - 1951-6851 UR - https://doi.org/10.2991/meici-16.2016.2 DO - 10.2991/meici-16.2016.2 ID - Zheng2016/09 ER -