Pinned Repositories
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's Repositories
S0urc-3/androidMalwareDetectionWithNLP
S0urc-3/AndroPyTool
A framework for automated extraction of static and dynamic features from Android applications
S0urc-3/API2Vec
API2Vec is a graph based API embedding method for malware detection
S0urc-3/APIGraph
Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors
S0urc-3/Attention-based-crossmodal-CNN-using-Non-disassembled-Feature-for-Malware-Classification
S0urc-3/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)
S0urc-3/clash-for-linux
Linux 端使用 Clash 作为代理工具
S0urc-3/DexRay
Info Security Semester Project
S0urc-3/DySAT
Representation learning on dynamic graphs using self-attention networks
S0urc-3/fusing_feature_engineering_and_deep_learning_a_case_study_for_malware_classification
S0urc-3/GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
S0urc-3/google-play-downloader
GooglePlay Downloader - Directly download apks from GooglePlay to your PC.
S0urc-3/google-play-scraper
Node.js scraper to get data from Google Play
S0urc-3/googleplay-api
Google Play Unofficial Python API
S0urc-3/graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
S0urc-3/guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper.(一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。)
S0urc-3/HAWK
S0urc-3/mall
mall项目是一套电商系统,包括前台商城系统及后台管理系统,基于SpringBoot+MyBatis实现,采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
S0urc-3/mall4cloud
⭐️⭐️⭐️微服务商城系统
S0urc-3/malnet-graph
A large-scale database for graph representation learning
S0urc-3/Malware-Classification-Using-Deep-Learning
ISA 480 Final Project
S0urc-3/Malware-Detection-API-Sequence-Intrinsic-Features
S0urc-3/malware-detection-with-deep-learning-autoencoder
S0urc-3/malware_detect2
Malware Classification using Machine learning
S0urc-3/MAPAS
A Practical Deep Learning-based Android Malware Detection System
S0urc-3/mini-spring
mini-spring是简化版的spring框架,能帮助你快速熟悉spring源码和掌握spring的核心原理。抽取了spring的核心逻辑,代码极度简化,保留spring的核心功能,如IoC和AOP、资源加载器、事件监听器、类型转换、容器扩展点、bean生命周期和作用域、应用上下文等核心功能。
S0urc-3/MsDroid
A GNN-based Android malware detector in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection".
S0urc-3/SentenceClassification
Sentence Classification Model Implemented with PyTorch
S0urc-3/unsupervised-graph
A repository to house unsupervised graph work
S0urc-3/Vision-Transformer-pytorch
基于pytorch的Vision Transformer