I have prepared list of features e.g. Internet Connection, File Upload etc that an android malware may have and then I have tested these features on both malware and benign samples. Now I want to add machine learning technique that could predict on the basis of extracted result that next application is either malware or benign. Which machine learning algorithm(s) will be best to apply here?
Shafagat Mahmudova
Dear Anam Mehtab,
Look the link, may be useful.
http://www.utdallas.edu/~lkhan/papers/06298824.pdf
Regards, Shafagat
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Ja’far Alqatawna
You might consider typical ML algorithms widely used for such problem; these include C4.5 decision tree classifier, Multilayer Perceptron Neural Networks (MLP), Naïve Bayes classifier, Random Forests and SVM.
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