Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)

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/).

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Volume Title
Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
September 2016
ISBN
978-94-6252-251-0
ISSN
1951-6851
DOI
10.2991/meici-16.2016.2How to use a DOI?
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  -