Network Traffic Analysis and Communication Performance Optimization Based on Machine Learning
This paper proposes a method of network traffic analysis and communication performance optimization based on machine learning,aiming at improving the security and efficiency of network management.By designing an effective feature extraction method,the network traffic data is transformed into a processable feature matrix,and data preprocessing and label setting are carried out to construct a representative and balanced data set.Convolutional neural network model is used for protocol identification,and communication performance is optimized through model training and parameter tuning technology.This method has effectiveness and application potential in network traffic analysis,and provides new ideas and methods for improving network security defense capability and communication performance.
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