基于机器学习和深度学习识别恶意WebURL 在该仓库中分别采用了机器学习算法LR和XBOOST算法进行了恶意WEBURL的识别 同时分别采用了修改后的VGG和全连接以及残差去进行恶意WEBURL的识别 最后使用Flask框架将其中一个模型部署为Web服务,可以从客户端发送请求进行预测。见代码:“Weburl_test_app.py”
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