joddiy / DynamicMalwareAnalysis
The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
☆27Updated 4 years ago
Related projects: ⓘ
- ☆24Updated 2 years ago
- ☆14Updated 2 years ago
- Transfer Learning for Image-Based Malware Classification☆47Updated 2 years ago
- ☆11Updated 2 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆224Updated 2 years ago
- Training Vision Transformers from Scratch for Malware Classification☆26Updated 3 years ago
- A neural approach to malware detection in portable executables☆72Updated last year
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 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)☆26Updated 2 years ago
- ☆27Updated 3 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…☆30Updated 3 years ago
- Codes for AICS'2019 challenge problem☆22Updated 4 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆58Updated 3 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- Malware Classification using Machine learning☆69Updated last year
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆52Updated last year
- ☆27Updated 5 years ago
- ☆32Updated last month
- This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.☆22Updated 6 months ago
- Dataset with labeled benign and malicious files 🗃️☆96Updated last year
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆38Updated 2 years ago
- 基于深度学习的恶意软件检测研究;MalConv;☆73Updated 2 years ago
- Benign .NET files☆30Updated 3 weeks ago
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆14Updated 3 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆66Updated 2 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 …☆71Updated 5 months ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆100Updated last month
- Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…☆71Updated 4 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆75Updated last year
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆25Updated last month