S0urc-3

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

S0urc-3/active-learning

Continuous Learning for Android Malware Detection (USENIX Security 2023)

S0urc-3/AMDs

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

S0urc-3/android-detectors

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

S0urc-3/Android-Malware-Data-Augmentation-Using-WGAN

S0urc-3/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.

S0urc-3/Android_Malware_Detection_Method_Based_on_Graph_Attention_Networks

S0urc-3/avclass

AVClass malware labeling tool

S0urc-3/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).

S0urc-3/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.

S0urc-3/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）

S0urc-3/CICFlowMeter

CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter)

S0urc-3/DexBERT

S0urc-3/DL-based-Android-Malware-Defenses-review

Papers, code and datasets about deep learning for Android malware defenses and malware detection

S0urc-3/DroidDissector-A-Static-and-Dynamic-Analysis-Tool-for-Android-Malware-Detection

S0urc-3/ember

Elastic Malware Benchmark for Empowering Researchers

S0urc-3/Exphormer

Exphormer: Sparse Transformer for Graphs

S0urc-3/Explainable-AI-malware-detection

Malware detection with added explanability of AI through saliency map on Android APK using PyTorch and Androguard.

S0urc-3/FlowDroid

FlowDroid Static Data Flow Tracker

S0urc-3/GHGDroid

GHGDroid : Global Heterogeneous Graph-based Android Malware Detection

S0urc-3/MaleX

A curated dataset of malware and benign Windows executable samples for malware researchers

S0urc-3/mall-learning

mall学习教程，架构、业务、技术要点全方位解析。mall项目（50k+star）是一套电商系统，使用现阶段主流技术实现。涵盖了SpringBoot 2.3.0、MyBatis 3.4.6、Elasticsearch 7.6.2、RabbitMQ 3.7.15、Redis 5.0、MongoDB 4.2.5、Mysql5.7等技术，采用Docker容器化部署。

S0urc-3/malware-classification

Malware Byteplot Image Classification using Machine Learning and Deep Learning

S0urc-3/MIL-Malware-Images

PyTorch implementation of my Master's thesis - "High-resolution Image-based Malware Classification using Multiple Instance Learning"

S0urc-3/NinjaDroid

Ninja Reverse Engineering on Android APK packages

S0urc-3/Obfuscapk

An automatic obfuscation tool for Android apps that works in a black-box fashion, supports advanced obfuscation features and has a modular architecture easily extensible with new techniques

S0urc-3/Sherlock

This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.

S0urc-3/SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

S0urc-3/text2vec

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

S0urc-3/transcendent-release

S0urc-3/Z2F

Z2F: Heterogeneous Graph-Based Android Malware Detection