The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 04, 2022

Filed:

May. 01, 2019
Applicant:

Emc Ip Holding Company Llc, Hopkinton, MA (US);

Inventors:

Or Herman Saffar, Beer Sheva, IL;

Amihai Savir, Sansana, IL;

Yevgeni Gehtman, Mod'In, IL;

Assignee:

EMC IP Holding Company LLC, Hopkinton, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/56 (2013.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 21/563 (2013.01); G06F 21/564 (2013.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01);
Abstract

Techniques are provided for detecting malicious software code embedded in image files, using machine learning. One method comprises obtaining metadata for an image file; applying the obtained metadata to at least one machine learning technique to classify the image file into at least one of a plurality of predefined classes, wherein the plurality of predefined classes comprises at least one malicious file class; and determining whether the image file comprises malicious software code based on the classification. The machine learning technique can be trained using image files classified into at least one of the plurality of predefined classes. The machine learning technique may employ a deep neural network and/or a convolutional neural network to classify the image file into the at least one predefined class.


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