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tokey-tahmid / Android-Malware-Detection-ML

I have worked on an android security project as a consultant for implementing Machine Learning and Deep Learning models for android malware detection The Machine Learning model was developed with Random Forest (RF), Logistic Regression, and Support Vector Machine (SVM) Classifiers The Deep Learning model was developed using Google’s Transformer based Masking model ‘BERT’ and MLP (Multilayer Perceptron) I evaluated the performance difference between ML and DL classifiers in detecting zero-day attacks and compared the results with state-of-the-art methods
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File missing in ML model #1

Open pikawtuer opened 2 years ago

pikawtuer commented 2 years ago

Hi, sorry to bother you, thank you very much for sharing the code, I found that the four files x_all.npy, y_all.npy, x_multi_all.npy and y_multi_all.npy are missing in the ML Model, which makes the procedure not run.

pikawtuer commented 2 years ago

I created the four files myself, then ran the whole project, and it worked, and the results were close to yours, but I don't know if there's a problem with what I did. (I hope I'm not asking a stupid question)

tokey-tahmid commented 2 years ago

Hi, sorry to bother you, thank you very much for sharing the code, I found that the four files x_all.npy, y_all.npy, x_multi_all.npy and y_multi_all.npy are missing in the ML Model, which makes the procedure not run.

Thank you for letting me know. I will look into it.