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Research and Implementation of Industrial Control Network Security Intrusion Detection Classification based on Deep Learning

With the continuous development of deep learning technology, the phenolic model of intrusion detection based on deep learning has become a research hotspot. Traditional network attack detection mainly relies on static rules to detect network behavior, so it is difficult to dynamically adapt to the continuous development of network attacks. While deep learning technology is more and more used in the field of security, the text is based on deep learning classification network to design intrusion detection classification model. The appropriate data processing technology is used to preprocess the original intrusion data, and the processed data is used to train the network model. Finally, the performance of the model is tested to achieve high classification accuracy.