Cluster Analysis of Smurf Type of Denial of Service Attack

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/).

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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  -