Communicating behavior information in a mobile computing device

Patent metadata

Field	Value
Publication number	US-9690635-B2
Application number	US-201313796595-A
Country	US
Kind code	B2
Filing date	Mar 12, 2013
Priority date	May 14, 2012
Publication date	Jun 27, 2017
Grant date	Jun 27, 2017

Abstract

Methods, systems and devices for communicating behavior analysis information using an application programming interface (API) may include receiving data/behavior models from one or more third-party network servers in a client module of a mobile device and communicating the information to a behavior observation and analysis system via a behavior API. The third-party servers may be maintained by one or more partner companies that have domain expertise in a particular area or technology that is relevant for identifying, analyzing, classifying, and/or reacting to mobile device behaviors, but that do not have access to (or knowledge of) the various mobile device sub-systems, interfaces, configurations, modules, processes, drivers, and/or hardware systems required to generate effective data/behavior models suitable for use by the mobile device. The behavior API and/or client modules allow the third-party server to quickly and efficiently access the most relevant and important information on the mobile device.

First claim

What is claimed is:

1. A method of communicating behavior-analysis information in a mobile device using an application programming interface, comprising:
receiving, by a first daemon operating on the mobile device via a mobile device processor of the mobile device, a finite state machine representation from a second daemon operating on the mobile device, the received finite state machine representation including a mapping of features to behavior classifications;
receiving, by the first daemon operating on the mobile device and via the application programming interface, a targeted behavior model from the second daemon operating on the mobile device;
applying a behavior vector to the received targeted behavior model to generate an analysis result;
using the generated analysis result and the received finite state machine representation to determine whether a mobile device behavior may be classified as benign or performance degrading;
sending, by the first daemon operating on the mobile device and via the application programming interface, a request to receive more information from a server to the second daemon operating on the mobile device in response to the first daemon determining that the mobile device behavior may not be classified as benign or performance degrading based on the generated analysis result and the received finite state machine representation; and
receiving, by the first daemon operating on the mobile device and via the application programming interface, an updated behavior model from the second daemon operating on the mobile device in response to the first daemon sending the request to receive more information from the server to the second daemon.

2. The method of claim 1 , wherein receiving, by the first daemon operating on the mobile device and via the application programming interface, the targeted behavior model from the second daemon operating on the mobile device comprises receiving, by the first daemon operating on the mobile device and via the application programming interface, an XML file.

3. The method of claim 1 , further comprising:
receiving, by the first daemon operating on the mobile device and via the application programming interface, a request for actuation that includes a command suitable for causing the mobile device to notify a mobile device user, block a process, or terminate the process.

4. The method of claim 1 , further comprising:
receiving, by the first daemon operating on the mobile device and via the application programming interface, a request for a behavior log that identifies one of a granularity level, a specific application, a duration or period of time, a process, and a priority.

5. The method of claim 4 , further comprising:
generating, by the mobile device processor, the behavior log to include information collected based on an analysis of one of the mobile device behavior, the specific application, and the process.

6. A mobile device, comprising:
a transceiver;
a memory; and
a processor coupled to the transceiver and the memory, wherein the processor is configured with processor-executable instructions to perform operations comprising:
receiving, by a first daemon operating on the mobile device, a finite state machine representation from a second daemon operating on the mobile device, the received finite state machine representation including a mapping of features to behavior classifications;
receiving, by the first daemon operating on the mobile device and via an application programming interface, a targeted behavior model from the second daemon operating on the mobile device;
applying a behavior vector to the received targeted behavior model to generate analysis result;
using the generated analysis result and the received finite state machine representation to determine whether a mobile device behavior may be classified as benign or performance degrading;
sending, by the first daemon operating on the mobile device and via the application programming interface, a request to receive more information from a server to the second daemon operating on the mobile device in response to the first daemon determining that the mobile device behavior may not be classified as benign or performance degrading based on the generated analysis result and the received finite state machine representation; and
receiving, by the first daemon operating on the mobile device and via the application programming interface, an updated behavior model from the second daemon operating on the mobile device in response to the first daemon sending the request to receive more information from the server to the second daemon.

7. The mobile device of claim 6 , wherein the processor is configured with processor-executable instructions to perform operations such that receiving, by the first daemon operating on the mobile device and via the application programming interface, the targeted behavior model comprises receiving, by the first daemon operating on the mobile device and via the application programming interface, an XML file.

8. The mobile device of claim 6 , wherein the processor is configured with processor-executable instructions to perform operations further comprising:
receiving, by the first daemon operating on the mobile device and via the application programming interface, a request for actuation that includes a command suitable for causing the mobile device to notify a mobile device user, block a process, or terminate the process.

9. The mobile device of claim 6 , wherein the processor is configured with processor-executable instructions to perform operations further comprising:
receiving, by the first daemon operating on the mobile device and via the application programming interface, a request for a behavior log that identifies one of a granularity level, a specific application, a duration or period of time, a process, and a priority.

10. The mobile device of claim 9 , wherein the processor is configured with processor-executable instructions to perform operations further comprising:
generating the behavior log to include information collected based on an analysis of one of the mobile device behavior, the specific application, and the process.

11. A non-transitory computer readable storage medium having stored thereon processor-executable software instructions configured to cause a mobile device processor to perform operations for communicating behavior-analysis information in a mobile device using an application programming interface, the operations comprising:
receiving, by a first daemon operating on the mobile device, a finite state machine representation from a second daemon operating on the mobile device, the received finite state machine representation including a mapping of features to behavior classifications;
receiving, by the first daemon operating on the mobile device and via the application programming interface, a targeted behavior model from the second daemon operating on the mobile device;
applying a behavior vector to the received targeted behavior model to generate analysis result;
using the generated analysis result and the received finite state machine representation to determine whether a mobile device behavior may be classified as benign and or performance degrading;
sending, by the first daemon operating on the mobile device and via the application programming interface, a request to receive more information from a server to the second daemon operating on the mobile device in response to the first daemon determining that the mobile device behavior may not be classified as of benign or performance degrading based on the generated analysis result and the received finite state machine representation; and
receiving, by

Assignees

• Qualcomm Inc

Inventors

• Gupta Rajarshi
• Halambi Soorgoli Ashok
• Gathala Sudha A
• Sridhara Vinay

Classifications

• G06F21/554 Primary

  involving event detection and direct action · CPC title

• G06F21/44

  Program or device authentication · CPC title

• G06F21/564

  by virus signature recognition · CPC title

• G06F9/541 Primary

  via adapters, e.g. between incompatible applications · CPC title

• Y02D10/00

  Energy efficient computing, e.g. low power processors, power management or thermal management · CPC title