ntruongn / andmaldataloader

AndroAnalyzer Dataloader is a library installed to facilitate the quick download and loading of data for researchers, allowing them to access this data as swiftly as possible.

Introduction

"AndroAnalyzer Dataloader" is a compilation of four publicly available datasets that we used in our paper, including Bataci's dataset, AndroVul dataset, Drebin-215 dataset, Malgenome-215 dataset, and a feature dataset collected by our proposed framework (which includes CSV files and sha256 hashes).

Installation

pip install git+https://github.com/NgocTruongNguyen/androanalyzer_dataloader.git

Instructions

• Get the list of dataset names:

from androanalyzer import dataset
dataset.get_list_dataset()
# ['AndroVul', 'Bataci', 'Drebin-215', 'Malgenome-215', 'AndroAnalyzer']

• Load the "AndroVul" dataset as a dataframe:

dataset.load_data("AndroVul")

• Load the AndroAnalyzer dataset, divided into train and test sets as mentioned in the paper:

dataset.load_data("AndroAnalyzer", train_set=True)
dataset.load_data("AndroAnalyzer", train_set=False)

• Get the list of class names for the collection of APK files we gathered:

dataset.get_classname()

• Get the list of "Banking" files in the training set:

dataset.get_sha256("Banking", train_set=True)