AMDwithPermission-ML

Andoird Malware Detection with different numbers of permissions using machine learning
Try to detect Android Malware with permissions only
With Machine Learning

3 folders with different numbers of permissions

1. 88 permissions
2. dangerous pid for 34 permissions
3. sigpid for 22 permissions

packages needed:

1. androguard
2. numpy
3. pandas
4. scikit-learn

usage:

1. all.py for training with train.csv and test.csv
2. apkPredict.py for predict apks in dir using model file generated by all.py
3. other py for merge permissions

others:

models and dataset too big so they get compressed
of course u can train ur own model
dataset need to be merged by .py

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中文版

三个文件夹

1. 采用88个权限的代码
2. 采用34个权限的代码
3. 采用22个权限的代码

需要的库文件

1. androguard
2. numpy
3. pandas
4. scikit-learn

用法

1. all.py用于训练，需要提供train.csv和test.csv
2. apkPredict.py用于预测，读取现有的model文件中的模型
3. 其他文件用于格式化找到的数据集，可能要根据不同的数据集进行调整

其他

1. 数据集和model文件太大，单独打包上传
2. 不同权限个数的代码应采用不同的model