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:
Jul. 11, 2017

Filed:

Oct. 09, 2014
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Mastooreh Salajegheh, San Jose, CA (US);

Vinay Sridhara, Santa Clara, CA (US);

Yin Chen, Campbell, CA (US);

Rajarshi Gupta, Sunnyvale, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/31 (2013.01); H04L 29/06 (2006.01); G06F 21/56 (2013.01); G06F 21/57 (2013.01); G06F 11/30 (2006.01); G06F 11/34 (2006.01); G06F 21/55 (2013.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 11/3024 (2013.01); G06F 11/3438 (2013.01); G06F 21/316 (2013.01); G06F 21/552 (2013.01); H04L 63/145 (2013.01); H04L 63/1425 (2013.01);
Abstract

A computing device processor may be configured with processor-executable instructions to implement methods of using behavioral analysis and machine learning techniques to identify, prevent, correct, or otherwise respond to malicious or performance-degrading behaviors of the computing device. As part of these operations, the processor may generate user-persona information that characterizes the user based on that user's activities, preferences, age, occupation, habits, moods, emotional states, personality, device usage patterns, etc. The processor may use the user-persona information to dynamically determine the number of device features that are monitored or evaluated in the computing device, to identify the device features that are most relevant to determining whether the device behavior is not consistent with a pattern of ordinary usage of the computing device by the user, and to better identify or respond to non-benign behaviors of the computing device.


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