The Research about Data Mining of Network Intrusion Based on Apriori Algorithm

DOI

10.2991/isci-15.2015.118How to use a DOI?

Keywords

Apriori algorithm;data mining;network intrusion;association rules;denial of service

Abstract

Found that the association between each characteristic attributes and behavior based on network intrusion data to achieve intrusion valuable data extraction and analysis,the use of denial of service attacks recorded KDDCup99 dataset simulation experiments.Weka software using association rule mining algorithms for different types of denial of service attack attribute characteristics for analysis,has been contact between the different characteristics of different attributes classification identifies the types of attacks,to improve the efficiency and accuracy of intrusion detection has an excellent role,has a certain value.

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  - 2015/01
DA  - 2015/01
TI  - The Research about Data Mining of Network Intrusion Based on Apriori Algorithm
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 888
EP  - 892
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.118
DO  - 10.2991/isci-15.2015.118
ID  - Zheng2015/01
ER  -