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

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.