RF-SVM Based Awareness Algorithm in Intelligent Network Security Situation Awareness System
Gang Chen, Yu-qian Zhao
Available Online November 2017.
- https://doi.org/10.2991/wartia-17.2017.45How to use a DOI?
- Intelligent System, Network Security Situation Awareness, Regression Forecast, Support Vector Machine
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/wartia-17.2017.45 ID - Chen2017/11 ER -