GitHub - Akhil-2001/InceptionNet-Malware-Analysis: Modern malware is designed to evade signature-based detection techniques. Thus, we can use Deep Convoluted Neural Networks in order to classify malware depicted by its binary malware image. In this project, we particularly use InceptionNetV3 for classifying malware binaries.

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Modern malware is designed to evade signature-based detection techniques. Thus, we can use Deep Convoluted Neural Networks in order to classify malware depicted by its binary malware image. In this project, we particularly use InceptionNetV3 for classifying malware binaries.

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Screenshot from 2022-07-12 21-45-37.png		Screenshot from 2022-07-12 21-45-37.png
history.json		history.json
model.py		model.py
test.py		test.py
train.py		train.py