机器学习检测SQL注入
本项目是使用机器学习算法来分类SQL注入语句与正常语句: 使用了SVM,Adaboost,决策树,随机森林,逻辑斯蒂回归,KNN,贝叶斯等算法分别对SQL注入语句与正常语句进行分类。 data是收集的样本数据 file中存放的是训练好的各个模型 featurepossess.py是对原始样本进行预处理,提特征。 sqlsvm.py等py文件是训练模型 testsql是对训练好的模型进行测试,用准确率来度量模型效果。
This project forked from flywangfang258/ml-for-sql-injection
机器学习检测SQL注入
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