GitHub - Muhammad-Nouman-Ahmed/PE-Protect-Antivirus-using-Machine-Learning: This Antivirus is design to scan the PE Files (EXEs and DLLs) and show whether the file is malicious or benign. 5 models are used and best one is used automatically for detection.

PE-Protect-Antivirus-using-Machine-Learning

This Antivirus is design to scan the PE Files (EXEs and DLLs) and show whether the file is malicious or benign. 5 models are used and best one is used automatically for detection. The tool is simple and GUI based. Models used are:

DecisionTree
RandomForest
GradientBoosting
AdaBoost
GNB

GUI

Model Training Results

Requirement

See reqirement.txt file

Note

Unzip the file Data.zip to extract the csv.

Google Form

Fill the form for Questions, Queries and Suggestions

Authors

@Muhammad-Nouman-Ahmed
📫 How to reach me ahmi10917@gmail.com

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License

Released under GPL-3.0 license by @Muhammad-Nouman-Ahmed.

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
__pycache__		__pycache__
classifier		classifier
static		static
templates		templates
LICENSE		LICENSE
README.md		README.md
antivirus.py		antivirus.py
confusion.PNG		confusion.PNG
data.zip		data.zip
ezgif-2-76830175af.gif		ezgif-2-76830175af.gif
main.py		main.py
train.PNG		train.PNG
train.py		train.py

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Muhammad-Nouman-Ahmed/PE-Protect-Antivirus-using-Machine-Learning

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PE-Protect-Antivirus-using-Machine-Learning

GUI

Model Training Results

Requirement

Note

Google Form

Authors

Connect with me:

License

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