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a-multimodal-deep-learning-method-for-android-malware-detection

Source code for Android malware analysis

aasc-android-application-signature-creation-through-graphs

active-learning

Continuous Learning for Android Malware Detection (USENIX Security 2023)

amds

A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments

android-detectors

End-to-end implementation of ML-based Android malware detectors.

android-malware-classification

android-malware-data-augmentation-using-wgan

android-malware-detection

Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.

android_malware_analysis

This project provides an analysis of Android malware using static features. We leverage Jupyter Notebook to perform static analysis on Android permissions and APK files, extracting relevant features and providing insights into potential malicious behavior.

android_malware_detection_method_based_on_graph_attention_networks

androidmalwaredetectionwithnlp

andropytool

A framework for automated extraction of static and dynamic features from Android applications

api2vec

API2Vec is a graph based API embedding method for malware detection

apigraph

Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors

apiseqfewshot

FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for Unknown Family Recognition with Multi-Prototype Modeling" paper.

attention-based-crossmodal-cnn-using-non-disassembled-feature-for-malware-classification

avclass

AVClass malware labeling tool

awesome-ml-sp-papers

A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).

axplorer

axplorer - Android Permission Mappings

bodmas

Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.

callgraph-flowdroid

Extract call graph from apks using Flowdroid.

cfgexplainer

[code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Priti Prabhakar Wakodikar, Ping Yang and Guanhua Yan. In: IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (2022)

chaosblade

An easy to use and powerful chaos engineering experiment toolkit.（阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具）

cicflowmeter

CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter)

clash-for-linux

Linux 端使用 Clash 作为代理工具

cnnxgb

deep-android-malware-detection

Code for Deep Android Malware Detection paper

deeplearning

dexbert

dexray

Info Security Semester Project