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

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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Bibliographic Details
Main Authors: Xiuli Du, Xiaohui Ding, Fan Tao
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
network security
situation prediction
Grey Wolf Optimization (GWO)
Clockwork Recurrent Neural Networks (CW-RNN)
Online Access:https://www.mdpi.com/1424-8220/23/13/6087

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