cridin1 / malware-classification-CNNLinks
This GitHub repository contains an implementation of a malware classification/detection system using Convolutional Neural Networks (CNNs).
☆42Updated 2 years ago
Alternatives and similar repositories for malware-classification-CNN
Users that are interested in malware-classification-CNN are comparing it to the libraries listed below
Sorting:
- Malware Classification using Machine learning☆76Updated last year
- Dataset with labeled benign and malicious files 🗃️☆149Updated 2 years ago
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆14Updated 2 years ago
- Additional code and data for the automated malware generation paper☆13Updated last year
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆75Updated 3 years ago
- A neural approach to malware detection in portable executables☆79Updated 2 years ago
- 🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…☆31Updated last year
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆53Updated 9 months ago
- Training Vision Transformers from Scratch for Malware Classification☆29Updated 4 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆48Updated 4 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆257Updated 4 years ago
- A curated list of malware-related papers.☆34Updated last year
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆92Updated last year
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- revised☆22Updated 5 years ago
- ☆16Updated 4 years ago
- This is the official repository for VulHawk.☆74Updated 2 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆93Updated 3 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆38Updated 3 years ago
- Offical Implementation for PalmTree☆147Updated 2 years ago
- Few-Shot malware classification using fused features of static analysis and dynamic analysis （基于静态+动态分析的混合特征的小样本恶意代码分类框架）☆36Updated 4 years ago
- 基于深度学习的恶意软件检测研究；MalConv;☆119Updated 3 years ago
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.☆76Updated 4 months ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆89Updated last year
- Assessing 📊 the impact of class imbalance on model performance and convergence for malware byteplot image 🌌 classification☆16Updated 2 years ago
- Official code of Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning☆43Updated 2 years ago
- ☆24Updated 6 months ago
- Forecasting Malware Capabilities From Cyber Attack Memory Images☆34Updated 3 years ago
- ☆34Updated 5 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆59Updated 4 years ago