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[D] Classifying malware based on API calls

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).

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…

submitted by /u/yourspeaker317
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.