Hadoop-based Intrusion Detection Technology and Data Visualization for Website Security

DOI

10.2991/cnct-16.2017.12How to use a DOI?

Keywords

Website, Intrusion detection, Hadoop, Visualization, MapReduce

Abstract

Network attack becomes more popular today. It is still difficult to detect the intrusion activity accurately for users websites through traditional approaches. A kind of integrated system is designed and established for the website security analysis based on Hadoop system. The core components of hardware subsystem is intrusion detection system (IDS) and Hadoop cluster. The data can be interacted between the intrusion detection system (IDS) controller, detection engine, website server, transferring server and Hadoop cluster. Based on the Map Reduce model, the Word Count algorithm is revised to obtain data statistical results such as IP address, intrusion level, intrusion type and intrusion time. These analyzed results are saved automatically into the MySQL database to form data tables, including statistical analysis, level distribution, week analysis and danger efficiency. Then, the resulted data are presented with visualization effect for the website managers.

Copyright

© 2017, 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  - Xiao-ming ZHANG
AU  - Yu-xin WANG
AU  - Ge-tong ZHANG
AU  - Guang WANG
PY  - 2016/12
DA  - 2016/12
TI  - Hadoop-based Intrusion Detection Technology and Data Visualization for Website Security
BT  - Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)
PB  - Atlantis Press
SP  - 86
EP  - 91
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnct-16.2017.12
DO  - 10.2991/cnct-16.2017.12
ID  - ZHANG2016/12
ER  -