DeepMAD
Malicious Activity Detection System. Final Year Project. Deep Learning-based solution, which analyses Network Activity sequences to classify whether the certain node is Malicious or Benign. Devising a tool/software which will detect malicious Network Activity Detection using Deep Learning Model. Tools: Python, Neural Network (BERT), Google Colaboratory, PyTorch, Kaggle, Tensorflow, and Flowmeter,
How to download and setup DeepMAD
Open terminal and run command
git clone https://github.com/maliksh7/DeepMAD.git
git clone is used to create a copy or clone of DeepMAD repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with DeepMAD https://github.com/maliksh7/DeepMAD/archive/master.zip
Or simply clone DeepMAD with SSH
[email protected]:maliksh7/DeepMAD.git
If you have some problems with DeepMAD
You may open issue on DeepMAD support forum (system) here: https://github.com/maliksh7/DeepMAD/issuesSimilar to DeepMAD repositories
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