Analysis of malicious traffic recognition technology based on DeepFM
This paper describes a malicious traffic recognition model based on DeepFM,which combines the advantages of Factorization Machines(FM)and Deep Neural Networks(DNN).By designing a multi-layer deep neural network structure,it achieves low-and high-order feature interaction to improve the model's predictive performance.
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