Device identification systems and methods
Systems and methods herein log traffic to and from a device on a network. Logging can occur using a metering device, router, proxy, or other elements. For example, a metering device operatively coupled to a routing device can log the traffic directed to and originating from a user device. Logged traffic can be analyzed to identify users, devices, and/or sessions. For example, an identifier unique to the user device in the session, a device type of the user device, and a specific user of the device during the session can be identified.
1. A method for collecting traffic data from devices on a network, the method comprising:
receiving, at a metering device operatively coupled to a routing device providing connectivity to an external network, traffic directed to and originating from a user device, wherein the user device connects to the metering device, and wherein the traffic is associated with a session;
logging, using the metering device, the traffic to and from the user device, wherein logging creates an entry associated with the session including an origin and a destination to an entry associated with the session;
transmitting, using the metering device, the traffic to or from the user device to the routing device for communication over the network;
extracting, from the traffic, an identifier unique to the user device in the session;
identifying a device type of the user device based on the identifier;
identifying a specific user of the device during the session based upon the identifier and identification rules; and
associating the specific user with the session and the entry.
2. The method of claim 1 , wherein one or both of the user device or the routing device host an agent for providing one or both of the identifier or information for use with the identification rules.
3. The method of claim 1 , wherein the identification rules include rules constraining the specific user to a predefined group of users.
4. The method of claim 3 , wherein the predefined group of users is one of a household or an office.
5. The method of claim 1 , further comprising applying demographic rules to the traffic, wherein the identification rules include demographic rules.
6. The method of claim 5 , wherein the demographic rules include a plurality of probabilities associated with an identification of the specific user with respect to each demographic indicator and the identifier.
7. The method of claim 1 , further comprising transmitting the entry to a traffic database.
8. The method of claim 7 , further comprising statistically analyzing the entry and entries from the traffic database to determine a trend associated with the traffic.
9. The method of claim 1 , further comprising:
interrogating, using the metering device, the traffic for keywords; and
comparing keywords from the traffic to a keyword registry associated with the user device, wherein the identification rules include keyword rules.
10. The method of claim 1 , further comprising identifying a captured traffic type and a not logged traffic type, wherein the traffic is of the captured traffic type.
11. A metering device for collecting traffic data from devices on a network, the metering device operatively coupled to a routing device, and the metering device comprising:
one or more processors; and
memory storing instructions that, when executed by the one or more processors, cause the device to:
receive traffic directed to and originating from a user device, wherein the user device connects to the metering device, and wherein the traffic is associated with a session;
log the traffic to and from the user device, wherein logging creates an entry associated with the session including an origin and a destination to an entry associated with the session;
transmit the traffic to or from the user device to the routing device for communication over the network;
extract, from the traffic, an identifier unique to the user device in the session;
identify a device type of the user device based on the identifier;
identify a specific user of the device during the session based upon the identifier and identification rules; and
associate the specific user with the session and the entry.
12. The metering device of claim 11 , wherein the identification rules include rules constraining the specific user to a predefined group of users.
13. The metering device of claim 11 , wherein the instructions, when executed by the one or more processors, further cause the device to apply demographic rules to the traffic, wherein the identification rules include demographic rules.
14. The metering device of claim 13 , wherein the demographic rules include a plurality of probabilities associated with an identification of the specific user with respect to each demographic indicator and the identifier.
15. The metering device of claim 11 , wherein the instructions, when executed by the one or more processors, further cause the device to:
Interrogate the traffic for keywords; and
compare keywords from the traffic to a keyword registry associated with the user device, wherein the identification rules include keyword rules.
16. A non-tangible computer-readable medium storing instructions that, when executed, cause:
receiving, at a metering device operatively coupled to a routing device providing connectivity to an external network, traffic directed to and originating from a user device, wherein the user device connects to the metering device, and wherein the traffic is associated with a session;
logging, using the metering device, the traffic to and from the user device, wherein logging creates an entry associated with the session including an origin and a destination to an entry associated with the session;
transmitting, using the metering device, the traffic to or from the user device to the routing device for communication over the network;
extracting, from the traffic, an identifier unique to the user device in the session;
identifying a device type of the user device based on the identifier;
identifying a specific user of the device during the session based upon the identifier and identification rules; and
associating the specific user with the session and the entry.
17. The non-tangible computer-readable medium of claim 16 , wherein the identification rules include rules constraining the specific user to a predefined group of users.
18. The non-tangible computer-readable medium of claim 16 , wherein the instructions, when executed, further cause applying demographic rules to the traffic, wherein the identification rules include demographic rules.
19. The non-tangible computer-readable medium of claim 18 , wherein the demographic rules include a plurality of probabilities associated with an identification of the specific user with respect to each demographic indicator and the identifier.
20. The non-tangible computer-readable medium of claim 16 , wherein the instructions, when executed, further cause:
interrogating, using the metering device, the traffic for keywords; and
comparing keywords from the traffic to a keyword registry associated with the user device, wherein the identification rules include keyword rules.