黑名单数据和白名单数据保存在data.zip中。 首先运行translate.py,提取出网站数据的特征。 运行typelist.py对特征数据进行可视化展示。 data.zip中的2.xlsx为白名单和黑名单特征的整合。 运行SVM.py、forest_split.py、DNN.py机器学习训练和预测数据(其中DNN用到的是DNN的分类算法)。
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基于传统机器学习的恶意网站检测
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