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:
Dec. 29, 2020

Filed:

Nov. 16, 2018
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Nahid Farhady, Falls Church, VA (US);

Malek Ben Salem, Falls Church, VA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 21/56 (2013.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
H04L 63/145 (2013.01); G06F 21/566 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06F 2221/033 (2013.01);
Abstract

Examples of malware detection are provided. In an example, to detect malwares, a first subset of features may be determined from a binary file. The binary file may be analyzed based on machine learning model to determine a category of malware, which is based on a degree of detectability of the category. A first category may have a lower detectability of malware in the binary file and a second category may have a higher detectability than the first. A model may then be created to analyze the first category of malware and an analysis of the binary may be performed. The analysis may be performed using the model. Thereafter, a confidence score may be generated for the binary file. The confidence score may be indicative of certainty of determining whether the binary file is goodware or includes malware. Malware may be detected upon the confidence score exceeding a threshold value.


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