Using machine learning models to predict the probability of a windows system getting infected by various families of malware, based on different properties of that system.
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Updated
May 1, 2020 - Jupyter Notebook
Using machine learning models to predict the probability of a windows system getting infected by various families of malware, based on different properties of that system.
To predict portable executable malware using Neural Networks with Tensorflow
A Malware Prediction model that predicted if the PE format file is malicious or legitimate.
A Light GBM and LSTM based model to predict whether a windows machine will soon be affected by a malware based on the specifications of the machine.
Developing model of machine learning for detecting malware
Predict if a machine will soon be hit with malware
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