This article provides a review of intrusion detection research based on deep learning.Firstly,analyze the current threats to network security and the new challenges faced by intrusion detection,as well as the basic principles of intrusion detection.In fact,starting from three models:CNN,RNN and GAN,this paper discusses intrusion detection technology based on deep learning,and supplements and summarizes other intrusion detection models based on deep learning.Finally,the intrusion detection dataset,existing problems,and future prospects were introduced.
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