supported by the National Natural Science Foundation of China (61403109,61202458);the Specialized Research Fund for the Doctoral Program of Higher Education of China (20112303120007);the Specialized Research Fund for Scientific and Technological Innovation Talents of Harbin (2016RAQXJ036)
To improve the accuracy of the network security situation, a security situation automatic prediction model based on accumulative data preprocess and support vector machine (SVM) optimized by covariance matrix adapti...