fabriciojoc / brazilian-malware-dataset
Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.
☆19Updated 4 years ago
Alternatives and similar repositories for brazilian-malware-dataset:
Users that are interested in brazilian-malware-dataset are comparing it to the libraries listed below
- ☆29Updated 2 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆54Updated 3 years ago
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆80Updated last year
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 years ago
- Malware Classification using Machine learning☆71Updated 5 months ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆106Updated 9 months ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 4 years ago
- ☆22Updated 3 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆86Updated 10 months ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆44Updated last week
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆29Updated 4 months ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆21Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆45Updated 3 years ago
- ☆28Updated 4 years ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- 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…☆34Updated 3 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)☆31Updated 3 years ago
- ☆15Updated 3 years ago
- ☆18Updated 2 years ago
- A neural approach to malware detection in portable executables☆79Updated 2 years ago
- Dataset with labeled benign and malicious files 🗃️☆116Updated last year
- ☆31Updated 4 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 6 years ago
- ☆35Updated 8 months ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆51Updated 11 months ago
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆17Updated 3 years ago
- Code for Benchmarking two ML Approaches performing Authorship Attribution☆36Updated 3 years ago
- ☆79Updated 5 years ago