- Patent Title: Systems and methods for detecting malware using machine learning
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Application No.: US14948341Application Date: 2015-11-22
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Publication No.: US10250617B1Publication Date: 2019-04-02
- Inventor: Andrew Gardner , Walter Bogorad , Jun Mao
- Applicant: Symantec Corporation
- Applicant Address: US CA Mountain View
- Assignee: Symantec Corporation
- Current Assignee: Symantec Corporation
- Current Assignee Address: US CA Mountain View
- Agency: FisherBroyles, LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06F17/30 ; G06N3/08 ; G06F16/26

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.
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