Long-Term Prediction of Network Security Situation Through the Use of the Transformer-Based Model

Long-Term Prediction of Network Security Situation Through the Use of the Transformer-Based Model

In recent years, the Internet has shown rapid development, and network security issue has gradually become the focus of research by scholars and enterprises. Network security time series is a reliable source to obtain future network security situation, so as to develop network security defense strat...

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Bibliographic Details
Main Authors: Kun Yin, Yu Yang, Chengpeng Yao, Jinwei Yang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Network security situation awareness
deep learning
transformer
temporal convolutional network
long-term prediction
Online Access:https://ieeexplore.ieee.org/document/9775698/

Internet

https://ieeexplore.ieee.org/document/9775698/

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