iosifache / DikeDataset
Dataset with labeled benign and malicious files ποΈ
β110Updated last year
Alternatives and similar repositories for DikeDataset:
Users that are interested in DikeDataset are comparing it to the libraries listed below
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon β¦β76Updated 10 months ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calβ¦β240Updated 3 years ago
- Benign .NET filesβ32Updated 5 months ago
- A neural approach to malware detection in portable executablesβ79Updated last year
- β28Updated 2 years ago
- β35Updated 6 months ago
- Create adversarial attacks against machine learning Windows malware detectorsβ214Updated 3 weeks ago
- β31Updated 4 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detectionβ62Updated 4 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.β69Updated 2 years ago
- Malware Classification using Machine learningβ70Updated 3 months ago
- Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusingβ¦β22Updated last year
- A curated dataset of malware and benign Windows executable samples for malware researchersβ42Updated 4 months ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"β49Updated 9 months ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.β29Updated 2 months ago
- Transfer Learning for Image-Based Malware Classificationβ46Updated 2 years ago
- Discovering Malicious Functionality through Binary Reconstructionβ52Updated 3 years ago
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.β18Updated 4 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysisβ84Updated 8 months ago
- Adversarial Malware Generator Using GANsβ52Updated 6 months ago
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.β73Updated last year
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"β43Updated 3 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)β20Updated 2 years ago
- β21Updated 3 years ago
- This project is Malware detection API using ML and CNN techniquesβ23Updated last year
- Malware Bypass Research using Reinforcement Learningβ104Updated 9 months ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Driftβ11Updated 3 weeks ago
- β27Updated 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-armeβ¦β42Updated last year
- Detecting Malware in PE filesβ23Updated last year