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. 31, 2023

Filed:

Oct. 26, 2020
Applicant:

Zscaler, Inc., San Jose, CA (US);

Inventors:

Changsha Ma, Campbell, CA (US);

Nirmal Singh, Mohali, IN;

Naveen Selvan, Mohali, IN;

Tarun Dewan, Mohali, IN;

Uday Pratap Singh, Mohali, IN;

Deepen Desai, San Ramon, CA (US);

Bharath Meesala, Bengaluru, IN;

Rakshitha Hedge, Bengaluru, IN;

Parnit Sainion, Morgan Hill, CA (US);

Shashank Gupta, Sunnyvale, CA (US);

Narinder Paul, Sunnyvale, CA (US);

Rex Shang, Los Altos, CA (US);

Howie Xu, Palo Alto, CA (US);

Assignee:

Zscaler, Inc., San Jose, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/56 (2013.01); G06F 21/53 (2013.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 21/565 (2013.01); G06F 21/53 (2013.01); G06N 20/00 (2019.01); G06F 2221/033 (2013.01);
Abstract

Systems and methods include determining a plurality of features associated with executable files, wherein the plurality of features are each based on static properties in predefined structure of the executable files; obtaining training data that includes samples of benign executable files and malicious executable files; extracting the plurality of features from the training data; and utilizing the extracted plurality of features to train a machine learning model to detect malicious executable files.


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