whyisyoung / 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.
☆76Updated 10 months ago
Alternatives and similar repositories for BODMAS:
Users that are interested in BODMAS are comparing it to the libraries listed below
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 years ago
- ☆28Updated 2 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆42Updated last year
- Dataset with labeled benign and malicious files 🗃️☆110Updated last year
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 4 years ago
- A neural approach to malware detection in portable executables☆79Updated last year
- Malware Classification using Machine learning☆71Updated 3 months ago
- Benign .NET files☆31Updated 5 months ago
- Discovering Malicious Functionality through Binary Reconstruction☆52Updated 3 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆49Updated 9 months ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- ☆31Updated 4 years ago
- Create adversarial attacks against machine learning Windows malware detectors☆214Updated 2 weeks ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆43Updated 3 years ago
- ☆21Updated 3 years ago
- ☆15Updated 3 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆239Updated 3 years ago
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.☆19Updated 4 years ago
- Malware Bypass Research using Reinforcement Learning☆103Updated 9 months ago
- Transfer Learning for Image-Based Malware Classification☆47Updated 2 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆20Updated 2 years ago
- ☆77Updated 5 years ago
- Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing…☆23Updated last year
- A curated dataset of malware and benign Windows executable samples for malware researchers☆41Updated 4 months ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆84Updated 7 months ago
- ☆27Updated 4 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆14Updated 3 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆29Updated 2 months ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 4 years ago
- This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…☆84Updated 6 years ago