README.md

MalConv-Deep-learning-for-PE-malware-classification

This repository contains the MalConv Architecture trained on EMBER 2018 Dataset to classify the PE file as benign or malware. There are three coding files:

1. MalConv Training https://github.com/iBibek/MalConv-Deep-learning-for-PE-malware-classification/blob/main/MalConv_Malware_Classification_of_PE_files.ipynb
2. Model Deployment: https://github.com/iBibek/MalConv-Deep-learning-for-PE-malware-classification/blob/main/Model_Deployment.ipynb
3. ClientPE File: https://github.com/iBibek/MalConv-Deep-learning-for-PE-malware-classification/blob/main/clientPE.py

The YouTube video is here: https://youtu.be/6Mu3WscWdOo and the report is also in this repo.

The MalConv architecture is based on the paper https://arxiv.org/pdf/1710.09435.pdf The dataset is from Ember repo: https://github.com/elastic/ember

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