Network security situation prediction based on singular spectrum analysis

DOI

10.2991/wartia-16.2016.352How to use a DOI?

Keywords

Network Security, Situation Prediction, Singular Spectrum Analysis, ARMA Model

Abstract

Network security situation prediction based on historical data is to provide warning in advance with network administrator. However, the current proposed approaches ignores the fact that the original time series of security situation include the random component which is not able to be forecast. Singular spectrum analysis is utilized to separate the random component. After that, ARMA model is used to predicate the security situation value in near future. The experiment shows the prediction benefits from the separation.

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  - Jizhi Wang
AU  - Bo Hu
AU  - Jianguo Jiang
AU  - Jiqiang Liu
PY  - 2016/05
DA  - 2016/05
TI  - Network security situation prediction based on singular spectrum analysis
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1776
EP  - 1779
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.352
DO  - 10.2991/wartia-16.2016.352
ID  - Wang2016/05
ER  -