Network Security Situation Prediction Based on Optimized Clock-Cycle Recurrent Neural Network for Sensor-Enabled Networks

We propose an optimized Clockwork Recurrent Neural Network (CW-RNN) based approach to address temporal dynamics and nonlinearity in network security situations, improving prediction accuracy and real-time performance. By leveraging the clock-cycle RNN, we enable the model to capture both short-term...

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Detalles Bibliográficos
Autores principales: Du, Xiuli, Ding, Xiaohui, Tao, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346216/
https://www.ncbi.nlm.nih.gov/pubmed/37447936
http://dx.doi.org/10.3390/s23136087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346216/
https://www.ncbi.nlm.nih.gov/pubmed/37447936
http://dx.doi.org/10.3390/s23136087

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