RF-SVM Based Awareness Algorithm in Intelligent Network Security Situation Awareness System

DOI

10.2991/wartia-17.2017.45How to use a DOI?

Keywords

Intelligent System, Network Security Situation Awareness, Regression Forecast, Support Vector Machine

Abstract

With the increasing outstanding of network security situation, the intelligent network security situation awareness system has been an important weapon in cyberspace battle field, its research and development are also being a matter of great urgency. How to improve accurate rate of situation awareness has been a primary key problem which must be dealt with by intelligent network security situation awareness system. A network security situation awareness algorithm based on regression forecast support vector machine (RF-SVM) was put forward. With adopting regression idea of regression, this algorithm can forecast potential threat in future network data flow referring to historical network attack data thoroughly in process of network awareness. Experiment indicates it can improve accurate rate of situation awareness effectively and reduce forecasting error.

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  - Gang Chen
AU  - Yu-qian Zhao
PY  - 2017/11
DA  - 2017/11
TI  - RF-SVM Based Awareness Algorithm in Intelligent Network Security Situation Awareness System
BT  - Proceedings of the 3rd Workshop on Advanced Research and Technology in Industry (WARTIA 2017)
PB  - Atlantis Press
SP  - 224
EP  - 228
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-17.2017.45
DO  - 10.2991/wartia-17.2017.45
ID  - Chen2017/11
ER  -