Hi guys,

I am new to machine learning and after trying out TensorFlow’s tutorial on how to create a classifier based on IMDb reviews, I want to create my own classifier to actually do a binary classification(malicious/benign) of maybe .exe or .apk files.

I was wondering if I can actually proceed to do the same thing as what tensorflow’s IMDb tutorial did, i.e train using a set of text + give those text a label (pos/neg).

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So in the context of classifying malware, those texts are actually system API calls. i.e

Set 1 [ func1() func2() func3() func4() func5() func6()…etc] Label -> Malicious

Set 2 [func1() func3() func4() func5()] Label -> benign

Sequence of the API call matters btw and i heard to do that I will need to use RNN LSTM.

I would love to hear from you guys if this is the correct way to do things…would most likely target Android applications…