Gaurav0502 / malware-classification
Malware Byteplot Image Classification using Machine Learning and Deep Learning
☆10Updated 11 months ago
Related projects: ⓘ
- This GitHub repository contains an implementation of a malware classification/detection system using Convolutional Neural Networks (CNNs)…☆17Updated last year
- This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.☆22Updated 7 months ago
- Transfer Learning for Image-Based Malware Classification☆47Updated 2 years ago
- Malware Classification using Machine learning☆69Updated last year
- This repository contains scripts and dataset for a Apt Identification Triage System☆13Updated 4 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
- Dataset with labeled benign and malicious files 🗃️☆96Updated last year
- ☆32Updated last month
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆27Updated 4 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
- A deep learning project which uses a method that converts malware .bytes files into gray-scale images and uses a CNN deep learning model …☆16Updated last year
- Benign .NET files☆30Updated 3 weeks ago
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.☆70Updated last year
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆66Updated 2 years ago
- Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?☆11Updated 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
- ☆27Updated 4 years ago
- Transformer Neural Network from Dynamic Malware Detection☆25Updated 2 months ago
- A large-scale database of malicious software images☆43Updated 3 years ago
- ☆24Updated 2 years ago
- A curated dataset of malware and benign Windows executable samples for malware researchers☆37Updated 8 months ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆38Updated 2 years ago
- ☆27Updated 5 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
- Create adversarial attacks against machine learning Windows malware detectors☆202Updated 2 months ago
- 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
- ☆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
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆57Updated 11 months ago