Automated DPI process
Disclosed is a method for tracking usage of applications on a mobile device that includes a virtual private network (VPN) application. The VPN application includes a rule dictionary to store a rule for each application that is executable on the mobile device. A rule comprises an identifier for the application and an associated regular expression. To create a rule, a new application is installed on the mobile device and executed to create network traffic. The network traffic from the new application is inspected and a regular expression that matches the new application is created and stored in the rules dictionary. Once the rule is stored, a usage of the application can be identified based on monitoring the network traffic and searching the rule dictionary to identify a matching application. Once a matching application is found, the usage metric of the application is updated.
1. A method for generating rules for a rules dictionary for tracking usage of applications on a mobile device, the method comprising:
storing, in the rules dictionary, a rule for each application of a plurality of applications that are executable on a mobile device, where each rule is used identifying network traffic associated with the associated application, and wherein each rule comprises an identifier for the application and a regular expression that is configured to identify network traffic associated with the application;
installing a new mobile application on the mobile device;
executing the new application on the mobile device to cause the new application to create network traffic;
inspecting the network traffic caused by the new application;
creating a regular expression that matches the network traffic created by the new application; and
storing in the rules dictionary a new rule that comprises the regular expression created for the new application and an identifier for the new application.
2. The method of claim 1 further comprises:
monitoring network traffic on the mobile device;
searching the rules dictionary for a rule having a regular expression that matches the monitored network traffic;
identifying a matched application as being the application associated with the identifier of the rule having a regular expression that matches the monitored network traffic; and
updating a usage metric for the matched application.
3. The method of claim 1 further comprises identifying a new application for the mobile device.
4. The method of claim 3 further comprises monitoring a plurality of application stores to identify new applications.
5. The method of claim 1 , wherein the regular expression is a sequence of characters that define a search pattern associated with the traffic created by an executing mobile application.
6. The method of claim 1 , wherein the network traffic is monitored by a virtual private network application that provides a secure access to a network.
7. The method of claim 1 , wherein the rule dictionary is stored in a database.
8. A computer program product for tracking usage of applications on a mobile device, the computer program product comprising a computer-readable storage medium containing computer program code for:
storing, in the rules dictionary, a rule for each application of a plurality of applications that are executable on a mobile device, where each rule is used identifying network traffic associated with the associated application, and wherein each rule comprises an identifier for the application and a regular expression that is configured to identify network traffic associated with the application;
installing a new mobile application on the mobile device;
executing the new application on the mobile device to cause the new application to create network traffic;
inspecting the network traffic caused by the new application;
creating a regular expression that matches the network traffic created by the new application; and
while the shutter button is displayed at the second location, detecting a second touch input to the shutter button; and
storing in the rules dictionary a new rule that comprises the regular expression created for the new application and an identifier for the new application.
9. The computer program product of claim 8 , wherein the computer program code further comprises:
monitoring network traffic on the mobile device;
searching the rules dictionary for a rule having a regular expression that matches the monitored network traffic;
identifying a matched application as being the application associated with the identifier of the rule having a regular expression that matches the monitored network traffic; and
updating a usage metric for the matched application.
10. The computer program product of claim 8 wherein the computer program code further comprises identifying a new application for the mobile device.
11. The computer program product of claim 10 , wherein identifying a new application further includes monitoring a plurality of application stores to identify new applications.
12. The computer program product of claim 8 , wherein the regular expression is a sequence of characters that define a search pattern associated with the traffic created by an executing mobile application.
13. The computer program product of claim 8 , wherein the network traffic is monitored by a virtual private network application that provides a secure access to a network.
14. The computer program product of claim 8 , wherein the rule dictionary is stored in a database.