Methods and apparatus for machine-to-machine based communication service classes

• US 9,326,173 B2
• Filed: 05/27/2014
• Issued: 04/26/2016
• Est. Priority Date: 08/29/2008
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Luft, Achim
• Primary Examiner(s): Hua, Quan M
• Application Number:
  US14/288,234
• Publication Number:
  US 20140344451A1
• Time in Patent Office: 700 Days
• US Class Current: 1/1
• CPC Class Codes: H04L 43/10 Active monitoring, e.g. heartbeat, ping or trace-route
• CPC Class Codes: H04L 63/107 wherein the security policies are location-dependent, e.g. entities privileges depend on current location or allowing specific operations only from locally connected terminals
• CPC Class Codes: H04L 63/108 when the policy decisions are valid for a limited amount of time
• CPC Class Codes: H04L 63/1416 Event detection, e.g. attack signature detection
• CPC Class Codes: H04L 63/1441 Countermeasures against malicious traffic countermeasures against attacks on cryptographic mechanisms H04L9/002
• CPC Class Codes: H04W 12/08 Access security
• CPC Class Codes: H04W 12/12 Detection or prevention of fraud
• CPC Class Codes: H04W 12/126 Anti-theft arrangements, e.g. protection against subscriber identity module [SIM] cloning
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 4/00 Services specially adapted for wireless communication networks; Facilities therefor
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]
• CPC Class Codes: H04W 8/22 Processing or transfer of terminal data, e.g. status or physical capabilities
• CPC Class Codes: H04W 88/18 Service support devices; Network management devices

Abstract

Methods and apparatus enabling a wireless network to provide differentiated services to a machine-to-machine (M2M) client. In one embodiment, the wireless network comprises a UMTS network, and the Home Location Register (HLR) entity identifies subscriptions as machine-to-machine (M2M) enabled devices based on flags or other descriptors associated with each M2M device, and imposes one or more rule sets (e.g., service restrictions) based on this identification. The classification of M2M devices within the HLR may optionally include additional capability or profile data for the M2M device (e.g. static, low mobility, low data activity, etc.). Various other network entities may use the M2M identification to modify the delivered data service, so as to optimize network resources. Furthermore, monitoring of M2M client behavior can be used to detect and notify the network operator of abnormal, fraudulent, or malicious activity. Business methods utilizing the aforementioned methods and apparatus are also disclosed.

Claims

1. A method for classifying a wireless device, the method comprising:

at a network apparatus;

monitoring the wireless device for a prescribed period of time;

collecting device activity data while monitoring the wireless device;

when sufficient device activity data is collected, determining a network access pattern for the wireless device from the device activity data; and

classifying the wireless device at least as a first category of device or as a second category of device based on the determined network access pattern,

wherein the first category of device is associated with wireless devices having different device operating parameters than wireless devices that are associated with the second category of device.

2. The method of claim 1, wherein:

the wireless device is a machine-to-machine (M2M) device that is configured to operate independent of human interaction; and

the prescribed period of time for monitoring the M2M device corresponds to a number of hours, a number of days, or a number of weeks.

3. The method of claim 1, wherein the network apparatus comprises a home location register (HLR) entity that is configured to collect the device activity data.

4. The method of claim 1, wherein the first category of device is associated with wireless devices that are non-mobile, and the second category of device is associated with wireless devices that are mobile.

5. The method of claim 1, wherein the first category of device is associated with wireless machine-to-machine (M2M) devices that have a high bandwidth requirement, and the second category of device is associated with wireless M2M devices that have a low bandwidth requirement.

6. The method of claim 1, further comprising implementing a predetermined rule set for the wireless device based at least in part on classification of the wireless device as the first category of device or as the second category of device.

7. The method of claim 6, wherein the predetermined rule set restricts the wireless device from performing a location update request or from performing a data communication during a designated time interval.

8. The method of claim 6, wherein the predetermined rule set bars the wireless device from performing an outgoing call when a called party is not listed in a called party exception list.

9. A network apparatus, comprising:

one or more processors; and

a storage device storing executable instructions that, when executed by the one or more processors, cause the network apparatus to;

monitor a network activity of one or more machine-to-machine (M2M) devices that the network apparatus periodically communicates with;

determine at least one pattern of activity for the one or more M2M devices based on the monitored network activity; and

classify the one or more M2M devices based on the determined at least one pattern of activity, such that a first classified M2M device of the one or more M2M devices is distinguished from a second classified M2M device of the one or more M2M devices.

10. The network apparatus of claim 9, wherein the first classified M2M device corresponds to a wireless device that is non-mobile, and the second classified M2M device corresponds to a wireless devices that is mobile.

11. The network apparatus of claim 9, wherein at least one of the one or more M2M devices corresponds to one of an automated teller machine (ATM), a vending machine, a fleet vehicle, industrial equipment, manufacturing equipment, and a healthcare device.

12. The network apparatus of claim 9, wherein each of the one or more M2M devices is associated with a subscriber identity for communicating with the network apparatus via a wireless telecommunication network.

13. The network apparatus of claim 9, wherein:

a plurality of M2M devices of the one or more M2M devices is associated with a single subscriber identity; and

individual M2M devices of the plurality of M2M devices utilize the single subscriber identity to communicate with the network apparatus at different times, in a non-overlapping manner.

14. The network apparatus of claim 9, wherein execution of the executable instructions further causes the network apparatus to implement a first predetermined rule set for the first classified M2M device and a second predetermined rule set for the second classified M2M device.

15. The network apparatus of claim 14, wherein the first predetermined rule set restricts the first classified M2M device from performing a location update request, and the second predetermined rule set restricts the second classified M2M device from performing a location update request only during one or more designated time intervals.

16. The network apparatus of claim 14, wherein the first predetermined rule set bars the first classified M2M device from performing an outgoing call when a called party is not listed in a called party exception list and the second predetermined rule set bars the second classified M2M device from performing outgoing calls only during one or more designated time intervals.

17. A non-transitory computer-readable medium storing executable instructions that, when executed by one or more processors of a network apparatus, cause the network apparatus to:

monitor a wireless device for a prescribed period of time;

collect device activity data while monitoring the wireless device;

when sufficient device activity data is collected, determine a network access pattern for the wireless device from the device activity data; and

classify the wireless device at least as a first category of device or as a second category of device based on the determined network access pattern,

wherein the first category of device is associated with a first rule set and the second category of device is associated with a second rule set that is different than the first rule set.

18. The non-transitory computer-readable medium of claim 17, wherein:

the wireless device is a machine-to-machine (M2M) device that is configured to operate independent of human interaction; and

the prescribed period of time for monitoring the M2M device corresponds to a number of hours, a number of days, or a number of weeks.

19. The non-transitory computer-readable medium of claim 17, wherein the first category of device is associated with wireless machine to machine (M2M) devices that are non-mobile, and the second category of device is associated with wireless M2M devices that are mobile.

20. The non-transitory computer-readable medium of claim 17, wherein when the wireless device is classified as the first category of device the first rule set restricts the wireless device from performing a location update request or from performing a data communication during a designated time interval.