Human life and work are inseparable from information technology, and the cyber security
issues that follow have become increasingly severe. In order to predict the development
trend of cyber safety more accurately, this paper establishes a kind of network safety
situation forecast model based on Grey Wolf Optimization (GWO) algorithm to optimize
support vector machine (SVM) parameters, and solves the problem of support vector
machine (SVM) parameter optimization. It overcomes the problems of neural network
training and local optimization, which makes it more generalized, also effectively
improve the prediction effect of SVM. The simulation experiments indicate that this
model has improved the accuracy of prediction and shows the general tendency of the
network security situation.
