Device activity and data traffic signature-based detection of mobile device health

Patent metadata

Field	Value
Publication number	US-9800600-B2
Application number	US-201514847697-A
Country	US
Kind code	B2
Filing date	Sep 8, 2015
Priority date	Sep 8, 2014
Publication date	Oct 24, 2017
Grant date	Oct 24, 2017

Abstract

The subject matter described herein includes methods, systems, and computer program products for data traffic signature-based detection and protection against malware. According to one method, data traffic and behavior associated with a computing device is monitored and a device activity signature is created that includes an abstraction of the data traffic. A classification of the device activity signature is determined and a policy decision for the computing device is applied based on the determined classification.

First claim

What is claimed is:

1. A method of providing malware protection on a mobile device, the method comprising:
creating a traffic signature by monitoring data traffic associated with the mobile device;
creating a behavior signature by monitoring behavior information based on non-traffic data associated with the mobile device;
creating a device activity signature that includes the traffic signature and the behavior signature;
determining a classification of the device activity signature; and
applying a policy decision for the mobile device based on the determined classification, wherein the policy decision includes blocking activity associated with an application.

2. The method of claim 1 , wherein monitoring the behavior information includes collecting device and application activity data recorded by an operating system associated with the mobile device and stored in counters, logs, or system files, or collecting activity directly from hardware devices or mobile applications.

3. The method of claim 1 , wherein monitoring the behavior information includes utilizing data collection software installed on the mobile device.

4. The method of claim 1 , wherein creating the traffic signature includes characterizing at least one of: all traffic from the mobile device and traffic associated with individual applications executed by the mobile device.

5. The method of claim 1 , wherein creating the device activity signature includes at least one of: a byte volume of traffic, a connection volume, a number of application errors, a type of application error, network destination, network protocol, application protocol, IP port, patterns in the content of the transmission, device location, network technology in use, application transmitting or receiving the data, and an indication whether the screen is on or off and whether the user is engaging in an activity on the mobile device.

6. The method of claim 1 , wherein determining a classification of the device activity signature includes classifying the device activity signature as either normal or anomalous.

7. The method of claim 1 , wherein determining a classification of the device activity signature includes determining one of a degree of similarity or a degree of difference between the device activity signature and a reference device activity signature.

8. The method of claim 7 , wherein the reference device activity signature includes:
a device behavior and traffic signature based on a population of devices similar to the mobile device; and
a signature associated with the mobile device at a previous time.

9. The method of claim 8 , further comprising updating the device activity signature to incorporate an expected signature based on user-initiated changes to applications installed on the mobile device.

10. The method of claim 9 , wherein the expected signature is associated with installing and executing a new application on the mobile device.

11. The method of claim 9 , wherein expected signature includes increased data traffic for an application that is associated with a user's activity with the application.

12. The method of claim 9 , wherein the expected signature includes a metric of a volume of the data traffic over a predetermined period of time.

13. The method of claim 9 , wherein the expected signature includes use of a new communication port known to be associated with installation and execution of a user-initiated application on the mobile device.

14. The method of claim 1 , wherein applying the policy decision further includes at least one of: logging the monitored data traffic, providing an alert to a user, and preventing an application or service from being executed by the mobile device.

15. A non-transitory, computer-readable storage medium storing program instructions that when executed on a mobile device cause the mobile devices to perform:
creating a traffic signature by monitoring data traffic associated with the mobile device;
creating a behavior signature by monitoring behavior information based on non-traffic data associated with the mobile device;
creating a device activity signature that includes the traffic signature and the behavior signature;
determining a classification of the device activity signature; and
applying a policy decision for the mobile device based on the determined classification, wherein the policy decision includes blocking activity associated with an application.

16. A mobile device comprising:
a radio;
a memory; and
a processor configured to:
create a traffic signature by monitoring data traffic associated with the mobile device;
create a behavior signature by monitoring behavior information based on non-traffic data associated with the mobile device;
create a device activity signature that includes the traffic signature and the behavior signature;
determine a classification of the device activity signature; and
apply a policy decision for the mobile device based on the determined classification, wherein the policy decision includes blocking activity associated with an application.

17. The mobile device of claim 16 , wherein the processor is configured to monitor the behavior information including collecting device and application activity data recorded by an operating system associated with the mobile device and stored in counters, logs, or system files, or collecting activity directly from hardware devices or mobile applications.

18. The mobile device of claim 16 , wherein the processor is configured to monitor the behavior information including utilizing data collection software installed on the mobile device.

19. The mobile device of claim 16 , wherein the processor is configured to create the traffic signature including characterizing at least one of: all traffic from the mobile device and traffic associated with individual applications executed by the mobile device.

20. The mobile device of claim 16 , wherein the processor is configured to create the device activity signature including at least one of: a byte volume of traffic, a connection volume, a number of application errors, a type of application error, network destination, network protocol, application protocol, IP port, patterns in the content of the transmission, device location, network technology in use, application transmitting or receiving the data, and an indication whether the screen is on or off and whether the user is engaging in an activity on the mobile device.

21. The mobile device of claim 16 , wherein the processor is configured to determine a classification of the device activity signature including classifying the device activity signature as either normal or anomalous.

22. The mobile device of claim 16 , wherein the processor is configured to determine a classification of the device activity signature including determining one of a degree of similarity or a degree of difference between the device activity signature and a reference device activity signature.

23. The mobile device of claim 22 , wherein the reference device activity signature includes:
a device behavior and traffic signature based on a population of devices similar to the mobile device; and
a signature associated with the mobile device at a previous time.

24. The mobile device of claim 23 , wherein the processor is further configured to update the device activity signature to incorporate an expected signature based on user-initiated changes to applications installed on the mobile device.

Assignees

• Seven Networks Llc

Inventors

• Bott Ross

Classifications

• H04L63/1416

  Event detection, e.g. attack signature detection · CPC title

• H04L63/1425 Primary

  Traffic logging, e.g. anomaly detection · CPC title

• H04L63/145

  the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms · CPC title