Systems and Methods for Wireless Network Content Filtering

• US 20080057913A1
• Filed: 06/16/2006
• Published: 03/06/2008
• Est. Priority Date: 06/16/2006
• Status: Active Grant

• Current Assignee: Extreme Networks, Inc.
• Original Assignee: AirDefense Incorporated (Motorola Solutions, Inc.)
• Inventors: Sinha, Amit, Darrow, Nicholas John
• Granted Patent: US 7,970,013 B2
• Time in Patent Office: Days
• US Class Current: 455/414.1
• CPC Class Codes: H04L 63/1416 Event detection, e.g. attack signature detection
• CPC Class Codes: H04W 12/122 Counter-measures against attacks; Protection against rogue devices

Abstract

Systems and methods of determining the content of frames transmitted on a wireless network through comparison of captured frames to predetermined statistical patterns.

Claims

1. A method of determining an application associated with content of frames transmitted on a wireless network, the method comprising the steps of:

associating one or more applications with one or more known statistical patterns;

storing the known statistical patterns in a pattern data store with the associated application;

monitoring a plurality of frames transmitted between nodes on the wireless network; and

retrieving known statistical patterns from a pattern data store;

matching the known statistical patterns to the frame lengths and direction between the nodes; and

identifying an application associated with the content of frames transmitted on the network based upon a match between the known statistical patterns to the frame lengths and direction, the known statistical patterns being associated with the application.

2. The method of claim 1, further comprising the step of outputting an application type responsive to a match of a known statistical pattern based on the matching step, wherein each of the known statistical patterns corresponds to a different application type.

3. The method of claim 1, wherein the known statistical patterns each correspond to the unique frame length pattern of an application operating on the wireless network.

4. The method of claim 1, wherein the wireless network operates using an IEEE 802.11 protocol.

5. The method of claim 1, wherein a match of the known statistical pattern in the matching step occurs within a frame count scope, the frame count scope comprises a predetermined number of frames over which the monitoring step monitors frames on the wireless network for the matching step.

6. The method of claim 5, wherein the known statistical pattern comprises the frame count scope and one or more frames each with a corresponding frame length, frame drift size, and frame direction between nodes.

7. The method of claim 6, wherein the frame drift size is an allowed difference from the frame length and a frame length value within the frame drift size comprises a statistical match.

8. The method of claim 7, wherein the known statistical patterns are determined by operating an application on one or more test hardware configurations and analyzing the frame lengths, frame drift size, and direction.

9. The method of claim 8, wherein the unique pattern of frame lengths varies based on a statistical frame drift size responsive to hardware configuration and wireless network operating conditions.

10. The method of claim 8, wherein the application comprises a computer program operable to transmit and receive frames.

11. The method of claim 9, wherein the application is operable to transmit and receive encrypted frames.

12. The method of claim 10, further comprising the step of terminating an unauthorized application based on the matching step, the unauthorized application comprises an application defined against predetermined network policy.

13. The method of claim 10, further comprising the step of raising an alarm and responsive determining an unauthorized application based on the matching step.

14. The method of claim 10, further comprising the step of determining quality-of-service metrics of the application responsive to inter-arrival statistics of the plurality of frames.

15. The method of claim 10, further comprising the step of determining the mean opinion score responsive to matching the application to a voice application.

16. The method of claim 1, wherein the monitoring step is performed by sensors, access points, clients equipped with software agents, and combinations thereof.

17. The method of claim 16, wherein the matching step is performed by a computer connected to a data store loaded with the known statistical patterns.

18. The method of claim 17, wherein the sensors, access points, clients equipped with software agents, and combinations thereof are configured to perform statistical analysis and communicate the results of the statistical analysis to the computer.

19. The method of claim 17, wherein the data store is operable to be updated with new known statistical patterns.

20. The method of claim 19, wherein the computer comprises a wireless intrusion prevention server.

21. The method of claim 17, wherein the computer is operable to perform multiple of the matching step simultaneously.

22. A method for characterizing patterns of frame lengths corresponding to an application, the method comprising the steps of:

providing a first hardware configuration comprising a plurality of wireless devices;

operating the application on one of the wireless devices;

monitoring the lengths and directions of frames by the application between the two wireless devices;

repeating the providing, operating, and monitoring steps for a second or more hardware configuration;

analyzing the lengths and directions of frames responsive to one or more hardware configurations to determined a statistical frame pattern; and

if the lengths and directions of the frames in the first and second hardware configurations are similar, associating the application with a pattern comprising the lengths and directions of the monitored frames.

23. The method of claim 22, wherein patterns are determined for a plurality of applications.

24. The method of claim 23, wherein a plurality of patterns are loaded into a data store.

25. A method of determining the content of frames by matching to known statistical patterns, the method comprising the steps of:

loading a content analysis engine and a plurality of known statistical patterns;

starting a data source, the data source receives incoming frames transmitted between two nodes on a network;

determining whether a frame matches a first line in the plurality of known statistical patterns; and

it a match is found in the checking step, loading a detection thread, wherein the detection thread comprises the steps of;

receiving subsequent incoming frames transmitted between two nodes on the network; and

matching the subsequent incoming frames to subsequent lines in the plurality of known statistical patterns until a predetermined frame count is met.

26. A system for determining an application associated with the content of wireless frames transmitted between two nodes on a wireless network, comprising:

a monitoring device operable to monitor and capture frame lengths and frame directions of a plurality of frames transmitted between nodes on the wireless network;

a data store loaded with known statistical patterns corresponding to different applications; and

a computer operable to receive the frame lengths and frame directions of the plurality of frames, the computer being further operable to perform statistical matching of the frame lengths and frame directions to the known statistical patterns in the data store;

wherein a statistical matching enables the computer to identify an application associated with the content being transmitted over the wireless network.

27. A method of determining an application associated with content of frames transmitted on a wireless network, the method comprising the steps of:

monitoring a plurality of frames transmitted between nodes on the wireless networks; and

matching the plurality of frames to known statistical patterns of frame lengths and direction between the nodes; and

identifying an application associated with the content of frames transmitted on the network based upon a match between the known statistical patterns to the frame lengths and direction, the known statistical patterns being associated with the application.