Cluster Analysis of Back Type of Denial of Service Attack

DOI

10.2991/icsnce-16.2016.7How to use a DOI?

Keywords

Intrusion detection; Weka; Characteristic property; Cluster analysis

Abstract

The characteristic attribute of network intrusion detection data set is an important index to measure the status of network intrusion.The analysis and research of the network intrusion detection system can deeply understand the current situation and the law of the network invasion.Clustering analysis using Weka software mining algorithm,the denial of service attacks "Back" type in accordance with the characteristics of the similarity of attributes is divided into 4 categories,and analyzes the characteristics of various types.

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  - 2016/07
DA  - 2016/07
TI  - Cluster Analysis of Back Type of Denial of Service Attack
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 27
EP  - 30
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.7
DO  - 10.2991/icsnce-16.2016.7
ID  - Zheng2016/07
ER  -