TECHNIQUE FOR CLASSIFYING NETWORK TRAFFIC AND FOR VALIDATING A MECHANISM FOR CLASSIFYING NETWORK TRAFFIC

• US 20110019574A1
• Filed: 03/10/2008
• Published: 01/27/2011
• Est. Priority Date: 03/10/2008
• Status: Abandoned Application

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Orincsay, Daniel, Szabo, Geza, Malomsoky, Szabolcs
• Application Number:
  US12/922,019
• Publication Number:
  US 20110019574A1
• Time in Patent Office: Days
• US Class Current: 370/252
• CPC Class Codes: H04L 41/5022 by giving priorities, e.g. assigning classes of service
• CPC Class Codes: H04L 47/10 Flow control; Congestion control
• CPC Class Codes: H04L 47/2441 relying on flow classification, e.g. using integrated services [IntServ]
• CPC Class Codes: H04L 47/2475 for supporting traffic characterised by the type of applications

Abstract

A technique for classifying network traffic in the form of data packets generated by multiple applications installed on a device (400) is provided. A method implementation of this technique performed by the device (400) comprises the steps of receiving data packets belonging to one or more data flows, wherein each data flow includes the data packets generated by a specific one of the multiple applications, analyzing the received data packets to identify the application associated with each analyzed data packet, and classifying at least one data flow by including an application identifier in at least one of the analyzed data packets of this data flow.

Claims

1. A method (200) for classifying network traffic in the form of data packets generated by multiple applications installed on a device, the method comprising the following steps performed by the device:

receiving (205) data packets belonging to one or more data flows, each data flow including the data packets generated by a specific one of the multiple applications;

analyzing (210) the received data packets to identify the application associated with each analyzed data packet; and

classifying (215) at least one data flow by including an application identifier in at least one of the analyzed data packets of this data flow.

2. The method of claim 1, wherein the analyzing (210) of the received data packets and the classifying (215) of the at least one data flow is performed in a protocol layer below an Internet Protocol (IP) layer.

3. The method of one of the preceding claims, wherein the analyzing (210) of the received data packets and the classifying (215) of the at least one data flow is performed by means of a network driver component.

4. The method of one of the preceding claims, wherein the device is a terminal device.

5. The method of one of the preceding claims, wherein the multiple applications comprise at least one of a Peer-to-Peer (P2P) application, a Voice over Internet Protocol (VoIP) application, a chat application, a File Transfer Protocol (FTP) application, an e-mail application, a Secure Shell (SSH) application, a Session Control Protocol (SCP) application, a gaming application and a streaming application.

6. The method of one of the preceding claims, further comprising the steps of:

determining (315) whether a received data packet is an outgoing or an incoming data packet; and

excluding (317) the received data packet at least from the classifying step in case the received data packet is an incoming data packet.

7. The method of one of the preceding claims, further comprising the steps of:

determining (320) the size of a received data packet; and

excluding (319) the data packet at least from the classifying step in case its size exceeds a predetermined value.

8. The method of one of the preceding claims, further comprising the steps of:

determining (325) a network protocol with which a received data packet is associated; and

excluding (335) the data packet at least from the classifying step in case the data packet is not associated with at least one predetermined network protocol.

9. The method of one of the preceding claims, wherein the analyzing step comprises:

assessing a data flow-specific identifier associated with the received data packet; and

determining (340), based on the data flow-specific identifier, whether information regarding the application that has generated the analyzed data packet is available in a local memory.

10. The method of claim 9, wherein the data flow-specific identifier is a multi-tuple identifier associated with the received data packet.

11. The method of one of claim 9 or 10, wherein the information stored in the local memory regarding the application that has generated the analyzed data packet is coded by means of a hash function.

12. The method of one of claims 9 to 11, further comprising the step of:

requesting (345) at least one of a network number and a process ID associated with the analyzed data packet in case no information regarding the application that has generated the analyzed data packet is available in the local memory.

13. The method of claim 12, wherein the process ID is associated with an application that has generated the analyzed data packet.

14. The method of one of the preceding claims, wherein the step of including (215) the application identifier in at least one of the analyzed data packets of the data flow comprises at least one of including application identifiers in all analyzed data packets of the data flow, including an application identifier only in the first analyzed data packet of the data flow, and randomly including application identifiers in analyzed data packets of the data flow.

15. The method of one of the preceding claims, wherein the application identifier is included in an option field of the analyzed data packet which is transparent within the network.

16. The method of one of the preceding claims, wherein the application identifier is derived from an executable file name of the application.

17. The method of one of the preceding claims, wherein a cyclic redundancy check field of a header of the analyzed data packet is recalculated after the application identifier has been included into it.

19. A computer program product including program code portions for performing the method steps according to one of claims 1 to 18 when the computer program product is run on one or more components of a network.

20. The computer program product according to claim 19, stored on a computer-readable recording medium.

18. A method of validating a mechanism for classifying network traffic, comprising the following steps:

receiving (705) at least one data flow of the network traffic, the data flow comprising data packets and at least one of the data packets of the data flow including an application identifier assigned to the data flow in accordance with a first mechanism for classifying network traffic, the application identifier classifying the data flow with respect to an application that has generated the data flow;

analyzing (710) at least one of the data packets of the received data flow in order to determine a first classification of the data flow based on an application identifier included in the analyzed data packet;

providing (715) a second classification of the data flow by means of a second mechanism for classifying network traffic that is different from the first mechanism for classifying network traffic; and

validating (720) the second classification mechanism for classifying network traffic by comparing the first and the second classifications.

21. A device (100) for classifying network traffic in the form of data packets generated by multiple applications installed on the device, comprising:

a function (135) for receiving data packets belonging to one or more data flows, each data flow including the data packets generated by a specific one of the multiple applications;

a function (140) for analyzing the received data packets to identify the application associated with each analyzed data packet; and

a function (145) for classifying at least one data flow by including an application identifier in at least one of the analyzed data packets of this data flow.

22. The device of claim 21 further comprising a network driver component (130) which is comprising the function (140) for analyzing the received data packets and the function (145) for classifying at least one data flow.

23. The device of one of claim 21 or 22, wherein the function (140) for analyzing the received data packets and the function (145) for classifying at least one data flow are included in a protocol layer below an IP layer.

24. An apparatus (600) for validating a mechanism for classifying network traffic, comprising:

a function (615) for receiving at least one data flow of the network traffic, the data flow comprising data packets and at least one of the data packets of the data flow including an application identifier assigned to the data flow in accordance with a first mechanism for classifying network traffic, the application identifier classifying the data flow with respect to an application that has generated the data flow;

a function (620) for analyzing at least one of the data packets of the at least one received data flow in order to determine a first classification of the data flow based on an application identifier included in the analyzed data packet;

a function (630) for providing a second classification of the data flow by means of a second mechanism for classifying network traffic that is different from the first mechanism for classifying network traffic; and

a function (640) for validating the second classification mechanism for classifying network traffic by comparing the first and the second classifications.

25. The apparatus of claim 24, wherein the function (615) for receiving at least one data flow, the function (620) for analyzing at least one of the data packets, the function (630) for providing a second classification of the data flow and the function (640) for validating the second classification mechanism are included in a single network element.