Association Rule Mining in DoS Attack Detection and Defense in the Application of Network

DOI

10.2991/emim-15.2015.87How to use a DOI?

Keywords

Association rule; Intrusion detection; Data mining; Characteristic attribute; KDDCup99

Abstract

Association rule mining is widely used in network intrusion detection,an important feature of attribute extraction of KDDCup99 data set of denial of service attack records,for the association rules mining association rules between different attributes with the help of Weka,the intrusion detection and prevention of further study has reference significance.Mining association rules reflect the relationship between different attributes,the establishment of the intrusion detection system is effective and adaptive for the next step,has a very broad application prospects.

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/).

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TY  - CONF
AU  - Jigang Zheng
AU  - Jingmei Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Association Rule Mining in DoS Attack Detection and Defense in the Application of Network
BT  - Proceedings of the 2015 International Conference on Education, Management, Information and Medicine
PB  - Atlantis Press
SP  - 445
EP  - 449
SN  - 2352-5428
UR  - https://doi.org/10.2991/emim-15.2015.87
DO  - 10.2991/emim-15.2015.87
ID  - Zheng2015/04
ER  -