Malware Detection Based on Deep Learning of Behavior Graphs

Algorithm 1

Behavior-based deep learning model in malware detection.

Input: including malware and benign samples ()

sample under detection

Output:// the result of the detection

Begin

Construct binary feature vectors

Activation=

For to do

Train AE use the activation AE as the input and train hidden

layer’s parameters

Fine tune the neural network

End

For to // represents different classifier

Add the classifier to the top layer of the SAEs model

Train the added classifier

End

Output the class label

End