pratikpv / malware_classification
Transfer Learning for Image-Based Malware Classification
☆47Updated 2 years ago
Alternatives and similar repositories for malware_classification:
Users that are interested in malware_classification are comparing it to the libraries listed below
- Malware Classification using Machine learning☆70Updated 2 months ago
- A neural approach to malware detection in portable executables☆78Updated last year
- ☆27Updated 2 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆105Updated 5 months ago
- Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…☆75Updated 5 years ago
- ☆31Updated 4 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 …☆75Updated 9 months ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆29Updated last month
- Training Vision Transformers from Scratch for Malware Classification☆27Updated 3 years ago
- Multi-class malware classification using Deep Learning☆75Updated 4 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆237Updated 3 years ago
- This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.☆24Updated 10 months ago
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.☆73Updated last year
- A malware family classification model based on CNN☆23Updated 2 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 6 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…☆31Updated 3 years ago
- Malware Detection using Convolutional Neural Networks☆13Updated last year
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 years ago
- ☆28Updated 5 years ago
- ☆59Updated 6 years ago
- Malware detection demo using machine learning.☆24Updated 6 years ago
- Classifying malware families by converting their binaries to images and then applying Convolutional Neural Network solutions.☆13Updated 3 years ago
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆117Updated 6 years ago
- ☆50Updated 8 years ago
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆166Updated last year
- ☆27Updated 4 years ago
- Dataset with labeled benign and malicious files 🗃️☆107Updated last year
- This project is Malware detection API using ML and CNN techniques☆22Updated last year
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.☆19Updated 4 years ago