Recurrent neural networks for malware analysis
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United States of America Patent
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Nov 15, 2016
Grant Date -
Oct 20, 2016
app pub date -
Jul 1, 2015
filing date -
Apr 16, 2015
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Abstract
Using a recurrent neural network (RNN) that has been trained to a satisfactory level of performance, highly discriminative features can be extracted by running a sample through the RNN, and then extracting a final hidden state hi, where i is the number of instructions of the sample. This resulting feature vector may then be concatenated with the other hand-engineered features, and a larger classifier may then be trained on hand-engineered as well as automatically determined features. Related apparatus, systems, techniques and articles are also described.
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