Patent · US Active

Systems and methods for detecting malware using machine learning

US10250617B1 · kind B1 · utility

15Cited by

4References

20Claims

0Family size

Assignee

Symantec Corporation · US

Inventors

Andrew B. Gardner · Roswell, US
Walter Bogorad · Danville, US
Jun Mao · Torrance, US

Key dates

Filing date	Nov 22, 2015
Grant date	Apr 2, 2019
Priority date	—
Expiry date	Aug 9, 2036

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/20
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A computer-implemented method for detecting malware using machine learning may include (1) identifying data to be analyzed for malware, (2) classifying, using a classifier created by a combination of at least one deep learning neural network and at least one supervised data mining method, the data to be analyzed for malware, (3) determining, based on a predefined threshold, that the classification of the data indicates potential malware on the computing device, and (4) performing a security action based on the determination of potential malware on the computing device. Various other methods, systems, and computer-readable media are also disclosed.

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