python数据库开发 dga_DGA detection based on Deep Learning (CNN and GRU) (基于深度学习的DGA检测)...

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概述

DGA-detection

DGA detection based on Deep Learning (CNN and GRU) (基于深度学习的DGA检测)

This project implements the DGA detection algorithm based on CNN and GRU to replace the traditional manual feature machine learning model. This article improves the pre-training model (.pb). Its roc_auc_score is 0.9833 The evaluation indicators of the model are as follows:

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tf.keras.evaluate ：

865us/sample - loss: 0.0239 - accuracy: 0.9833 [0.04613903951440131, 0.98328847]

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customed model_eval：

confusion matrix [[190987, 3229], [ 2722, 159164]]

f1_score: 0.9816485187138235

precision_score: 0.9801161380108748

recall_score: 0.9801161380108748

average_precision_score: 0.9712800471538547

roc_auc_score: 0.9832799399509491

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