关键词: 自编码器, 深度自编码器, 网络安全, 态势预测, 神经网络

Abstract: With the development and progress of Internet theory and technology, security has become an extremely important factor in the study of cyberspace. Network security situation prediction can integrate different levels of security factors and directly reflect the overall situation of network security. In order to increase the accuracy of the prediction of network security situation, this paper proposes a method to apply the deep self-encoder neural network algorithm to the network security situation prediction technology, and uses the National Internet Emergency Response Center security data set to perform simulation experiments on the matlab platform. The results show that the network security situation prediction model based on depth self-encoder has a fast learning speed and high accuracy ,which can predict the network security situation well.

Key words: automatic encoder, depth automatic encoder, network security, situation prediction, the neural network