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US Patent 10521587 Detecting code obfuscation using recurrent neural networks

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Is a
Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
105215870
Patent Inventor Names
Arie Agranonik0
Zohar Duchin0
Date of Patent
December 31, 2019
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Patent Application Number
156653300
Date Filed
July 31, 2017
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Patent Citations Received
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US Patent 12111925 Methods and apparatus for detecting and preventing obfuscated cyberattacks using machine learning techniques
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US Patent 11397742 Rescaling layer in neural network
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US Patent 11941491 Methods and apparatus for identifying an impact of a portion of a file on machine learning classification of malicious content
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US Patent 11947668 Methods and apparatus for preserving information between layers within a neural network
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US Patent 11966477 Methods and apparatus for generic process chain entity mapping
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US Patent 12010129 Methods and apparatus for using machine learning to classify malicious infrastructure
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US Patent 11574052 Methods and apparatus for using machine learning to detect potentially malicious obfuscated scripts
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US Patent 11017177 Neural network systems and methods for target identification from text
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...
Patent Primary Examiner
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Wasika Nipa
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Patent abstract

A method includes generating an index representation of characters of code of a given file and mapping the index representation to a vector space providing contextual representation of the characters utilizing an embedding layer of a recurrent neural network (RNN). The method also includes identifying one or more code features in the mapped index representation utilizing at least one hidden layer of the RNN, detecting sequences of the identified code features in the mapped index representation utilizing a plurality of memory units of a recurrent layer of the RNN, and generating a classification result for the given file based on the detected sequences of code features utilizing one or more classification layers of the RNN. The method further comprises utilizing the classification result to determine if the given file contains code of a designated code type, and modifying access by a given client device to the given file responsive to the determination.

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