Anti-Virus Using AI
Antivirus Demo Overview This project helps train a classifier to be able to detect PE files as either malicious or legitimate. It tries out 6 different classification algorithms before deciding which one to use for prediction by comparing their results. This is the code for 'Build an Antivirus in 5 Min'.
Dependencies pandas pip install pandas numpy pip install numpy pickle pip install pickle scipy pip install scipy scikit pip install -U scikit-learn Use pip to install any missing dependencies
Basic Usage Run python learning.py to train the model. It will train on the dataset included called 'data.csv'.
Once trained you can test the model via python checkpe.py YOUR_PE_FILE. It will output either malicious or legitimate!
That's it!