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:
Jan. 31, 2023

Filed:

May. 31, 2020
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Jugal Parikh, Bellevue, WA (US);

Geoffrey Lyall McDonald, Vancouver, CA;

Mariusz H. Jakubowski, Bellevue, WA (US);

Seyed Mehdi Fatemi Booshehri, Montreal, CA;

Allan Gordon Lontoc Sepillo, Woodinville, WA (US);

Bradley Noah Faskowitz, New York, NY (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/74 (2013.01); G06F 21/56 (2013.01); G06N 20/00 (2019.01); G06F 9/54 (2006.01); G06F 21/53 (2013.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06F 21/566 (2013.01); G06F 9/542 (2013.01); G06F 21/53 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06N 20/00 (2019.01); G06F 2221/033 (2013.01);
Abstract

Embodiments seek to prevent detection of a sandbox environment by a potential malware application. To this end, execution of the application is monitored, and provide information about the execution to a reinforcement learning machine learning model. The model generates a suggested modification to make to the executing application. The model is provided with information indicating whether the application executed successfully or not, and this information is used to train the model for additional modifications. By modifying the potential malware execution during its execution, detection of a sandbox environment is prevented, and analysis of the potential malware applications features are better understood.


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