Identification of Malicious Attack Data in Network Data Transmission Based on Hybrid Neural Network
the traditional malicious attack data identification method,only after a training cycle,cannot get accurate malicious attack data identification model,lead to the correct classification of malicious attack data document number,so design a kind of network based on hybrid neural net-work data transmission of malicious attack data identification method.By capturing the target network data and performing data cleaning and preprocessing,the characteristic parameters of the malicious attack data are extracted.Through multiple training cycles on the network data,an accurate malicious attack data identification model is obtained.When identifying malicious attack data,you can compare with predetermined thresholds based on elements such as traffic,behavior and file exceptions.The iments proved that this method has high accuracy and research value.
NETL
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