XJTUAlan

AMDwithPermission-ML

Andoird Malware Detection with different numbers of permissions using machine learning

AndroidAPIHooker

使用cydia substrate框架hook android的关键api，实时记录观察app后台运行时所调用的所有敏感函数，并生成json日志输出

ApiMonitor

android malware test

APK_CG

generate the call graph of an Android APK.

art-hook-vtable-gsoc15

ARTDroid: Simple and easy to use library to intercept virtual-method calls under the Android ART runtime.

ARTDroid

ArtistGui

ARTist's deployment application, for code-injection on an Android device.

BabelView

Dataset

relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

XJTUAlan/relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

XJTUAlan/AMDwithPermission-ML

Andoird Malware Detection with different numbers of permissions using machine learning

XJTUAlan/AndroidAPIHooker

使用cydia substrate框架hook android的关键api，实时记录观察app后台运行时所调用的所有敏感函数，并生成json日志输出

XJTUAlan/ApiMonitor

android malware test

XJTUAlan/APK_CG

generate the call graph of an Android APK.

XJTUAlan/art-hook-vtable-gsoc15

ARTDroid: Simple and easy to use library to intercept virtual-method calls under the Android ART runtime.

XJTUAlan/ARTDroid

XJTUAlan/ArtistGui

ARTist's deployment application, for code-injection on an Android device.

XJTUAlan/BabelView

XJTUAlan/Dataset

XJTUAlan/drebin

Drebin - NDSS 2014 Re-implementation

XJTUAlan/English-Document-translation-software

英文文档即时划词翻译软件。UI界面集成 阅读器 和 翻译器 于一体，避免来回切换。支持PDF/WORD格式。

XJTUAlan/FalDroid

XJTUAlan/FlowdroidCG

A build well Android APK call graph generator

XJTUAlan/GCN

temp

XJTUAlan/GCN-GPP-Simple-Example

GPP(Graph-based Positive Prediction) is a simple GCN(Graph Convolution Network) for binary classifing.

XJTUAlan/MALDIAS

Malware Detection in Android Systems using NHGK.

XJTUAlan/Malware-Detection

With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, which calls for the development of advanced and effective malware detection approaches. We propose an android malware detection system using a deep learning technique called graph convolutional neural networks. The network works on android applications. We extract some information about the application and add it to the windows event log of the server containing the network. This is the main server which is a part of a local area network that contains a number of computers that send their windows event logs to Elastic Stack. We then use the Stack to visualize this data on a browser to do some further analysis.

XJTUAlan/Malware-Detection-System-Using-Deep-Learning-and-Elastic-Stack

XJTUAlan/pygraph

graph for python which contain the Dijkstra algorithm to calculate the shortest path given a start and end node on the built graph.

XJTUAlan/taintart-art

XJTUAlan/taojinbi

淘宝淘金币自动执行脚本，解放你的双手

XJTUAlan/v.qqvip

v.qq