Patent · US Active

Deep reinforcement learning technologies for detecting malware

US10922409B2 · kind B2 · utility

1Cited by

3References

20Claims

0Family size

Assignee

MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

Yu Wang · Solna, SE
Jack Wilson Stokes, III · North Bend, US
Adrian Marinescu · Sammamish, US

Key dates

Filing date	Apr 10, 2018
Grant date	Feb 16, 2021
Priority date	—
Expiry date	Jan 10, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06F2221/034
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Technologies for detecting malware based on reinforcement learning model to detect whether a file is malicious or benign and to determine the best time to halt the file's execution in so detecting. The reinforcement learning model combined with an event classifier and a file classifier learns whether to halt execution after enough state information has been observed or to continue execution if more events are needed to make a highly confident determination. The algorithm disclosed allows the system to decide when to stop on a per file basis.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.