whyisyoung / BODMASLinks
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.
☆83Updated last year
Alternatives and similar repositories for BODMAS
Users that are interested in BODMAS are comparing it to the libraries listed below
Sorting:
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆243Updated 3 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆71Updated 2 years ago
- Dataset with labeled benign and malicious files 🗃️☆129Updated last year
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆70Updated 4 years ago
- Create adversarial attacks against machine learning Windows malware detectors☆228Updated 3 weeks ago
- Malware Classification using Machine learning☆73Updated 8 months ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆53Updated 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…☆45Updated 3 months ago
- A neural approach to malware detection in portable executables☆78Updated 2 years ago
- ☆31Updated 2 years ago
- Malware Bypass Research using Reinforcement Learning☆105Updated last year
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆86Updated last year
- Benign .NET files☆34Updated 10 months ago
- Discovering Malicious Functionality through Binary Reconstruction☆55Updated 3 years ago
- A curated dataset of malware and benign Windows executable samples for malware researchers☆46Updated 9 months ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆21Updated 3 years ago
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 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…☆88Updated 6 years ago
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.☆19Updated 4 years ago
- ☆15Updated 3 years ago
- Adversarial Malware Generator Using GANs☆54Updated 11 months ago
- ☆36Updated 11 months ago
- 🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…☆28Updated last year
- ☆25Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆46Updated 3 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- Transformer Neural Network from Dynamic Malware Detection☆31Updated last year
- 主题为”基于GAN的恶意软件对抗样本生成“。首先介绍了恶意软件发展现状,引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器,详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架,并对实验结果进行了对比。最后总结了结构…☆35Updated 3 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆106Updated 11 months ago
- ☆32Updated 4 years ago