Prediction of execution behaviors in sandbox
AssigneeTrend Micro Incorporated
InventorsQiang Huang, Hu Cao, Weichao Dai
Life of this patent
Estimating the term…
Loading patent…
AssigneeTrend Micro Incorporated
InventorsQiang Huang, Hu Cao, Weichao Dai
Estimating the term…
A sandbox module on a host computer executes sample programs and includes a dynamic analysis module that collects run-time behaviors of the sample program. A static analysis module collects static behaviors of the sample programs. The behaviors are sent to a recurrent neural network to train one or more models. Each model is trained on a type of sample file. During prediction, the sequence network inputs the behaviors from an unknown sample program. An encoder encodes the behaviors into numerical tuples. A recurrent neural network model inputs the tuples and outputs a predicted behavior of the sample program based upon the tuples. A decoder decodes a numerical tuple representing the predicted behavior and outputs the predicted behavior into a decision engine. The decision engine of the sandbox outputs a decision regarding whether the sample program is malicious or not. Look up tables permit mapping between tuples and the textual behaviors.
A method of predicting a behavior of a sample program, said method comprising:
A method of predicting a behavior of a sample program, said method comprising:
A program behavior prediction system comprising:
Dependencies are inferred from the claim text.