Method and system for identifying users and detecting fraud by use of the internet
A method and system for detecting and preventing Internet fraud in online transactions by utilizing and analyzing a number of parameters to uniquely identify a computer user and potential fraudulent transaction through predictive modeling. The method and system uses a delta of time between the clock of the computer used by the actual fraudulent use and the potentially fraudulent user and the clock of the server computer in conjunction with personal information and/or non-personal information, preferably the Browser ID.
1. A non-transitory computer storage storing one or more computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform steps of:
receiving and storing a plurality of matching parameters;
detecting an electronic communication of a first online transaction between a first consumer device and a merchant server via a merchant website;
based on the detecting of the electronic communication of the first online transaction:
capturing consumer time expression data associated with the first consumer device;
based at least in part on an analysis of the consumer time expression data, calculating a level of fraud risk associated with the first online transaction;
accessing merchant time expression data associated with the merchant server; and
generating and storing a first electronic computer identifier corresponding to the first consumer device based at least in part on the merchant time expression data and the consumer time expression data;
detecting an electronic communication of a second online transaction between a second consumer device and the merchant server via the merchant website; and
based on the detecting of the electronic communication of the second online transaction:
identifying a second electronic computer identifier corresponding to the second consumer device; and
determining that the first electronic computer identifier matches with the second electronic computer identifier based at least in part on one or more of the plurality of matching parameters; and
associating the second online transaction with the level of fraud risk associated with the first online transaction.
2. The non-transitory computer storage of claim 1 , wherein each of the consumer device time expression data and the merchant server time expression data includes a time in hours, minutes, or seconds and a time zone.
3. The non-transitory computer storage of claim 1 , wherein the consumer time expression data or the merchant time expression data is in a military time format.
4. The non-transitory computer storage of claim 1 , wherein the calculating the level of fraud risk associated with the first online transaction comprising:
analyzing an IP address associated with the first online transaction using a first weight value; and
analyzing the consumer time expression data using a second weight value.
5. The non-transitory computer storage of claim 4 , wherein the first weight value and the second weight value are provided by a merchant.
6. The non-transitory computer storage of claim 4 , wherein the computer-executable instructions further cause the one or more processors perform a step of:
determining that the first online transaction is fraudulent based on a comparison of the first level of risk to a predetermined threshold value.
7. The non-transitory computer storage of claim 1 , wherein each of the consumer time expression data and the merchant time expression data includes two or more temporal components.
8. A system for real-time fraud detection for an online transaction between a consumer and a merchant, the system comprising:
a processor of a merchant server;
a network interface configured to communicate with a plurality of consumer devices and a server; and
a memory storing computer-executable instructions that, when executed by the processor, cause the processor of the merchant server to perform the steps of:
receiving and storing a plurality of matching parameters;
detecting an electronic communication of a first online transaction between a first consumer device and a merchant server via a merchant website;
based on the detecting of the electronic communication of the first online transaction:
capturing consumer time expression data associated with the first consumer device;
based at least in part on an analysis of the consumer time expression data, calculating a level of fraud risk associated with the first online transaction;
accessing merchant time expression data associated with the merchant server; and
generating and storing a first electronic computer identifier corresponding to the first consumer device based at least in part on the merchant time expression data and the consumer time expression data;
detecting an electronic communication of a second online transaction between a second consumer device and the merchant server via the merchant web site; and
based on the detecting of the electronic communication of the second online transaction:
identifying a second electronic computer identifier corresponding to the second consumer device; and
determining that the first electronic computer identifier matches with the second electronic computer identifier based at least in part on one or more of the plurality of matching parameters; and
associating the second online transaction with the level of fraud risk associated with the first online transaction.
9. The system of claim 8 , wherein each of the consumer device time expression data and the merchant server time expression data includes a time in hours, minutes, or seconds and a time zone.
10. The system of claim 8 , wherein the consumer time expression data or the merchant time expression data is in a military time format.
11. The system of claim 8 , wherein the calculating the level of fraud risk associated with the first online transaction comprising:
analyzing an IP address associated with the first online transaction using a first weight value; and
analyzing the consumer time expression data using a second weight value.
12. The system of claim 11 , wherein the first weight value and the second weight value are provided via the merchant server.
13. The system of claim 11 , wherein the computer-executable instructions further cause the processor of the merchant server to perform a step of:
determining that the first online transaction is fraudulent based on a comparison of the first level of risk to a predetermined threshold value.
14. The system of claim 8 , wherein each of the consumer time expression data and the merchant time expression data includes two or more temporal components.
15. A computer-implemented method for real-time fraud detection for an online transaction between a consumer and a merchant, the method comprising:
receiving and storing, by a merchant server, a plurality of matching parameters;
detecting, by the merchant server, an electronic communication of a first online transaction between a first consumer device and a merchant server via a merchant web site;
based on the detecting of the electronic communication of the first online transaction:
capturing, by the merchant server, consumer time expression data associated with the first consumer device;
based at least in part on an analysis of the consumer time expression data, calculating, by the merchant server, a level of fraud risk associated with the first online transaction;
accessing, by the merchant server, merchant time expression data associated with the merchant server; and
generating and storing, by the merchant server, a first electronic computer identifier corresponding to the first consumer device based at least in part on the merchant time expression data and the consumer time expression data;
detecting, by the merchant server, an electronic communication of a second online transaction between a second consumer device and the merchant server via the merchant web site; and
based on the detecting of the electronic communication of the second online transaction:
identifying, by the merchant server, a second electronic computer identifier corresponding to the second consumer device; and
determining, by the merchant server, that the first electronic computer identifier matches with the second electronic computer identifier based at least in part on one or more of the plurality of matching parameters; and
associating the second online transaction with the level of fraud risk associated with the first online transaction.
16. The computer-implemented method of claim 15 , wherein each of the consumer device time expression data and the merchant server time expression data includes a time in hours, minutes, or seconds and a time zone.
17. The non-transitory computer storage of claim 15 , wherein the consumer time expression data or the merchant time expression data is in a military time format.
18. The non-transitory computer storage of claim 15 further comprising:
analyzing an IP address associated with the first online transaction using a first weight value; and
analyzing the consumer time expression data using a second weight value.
19. The non-transitory computer storage of claim 18 , wherein the first weight value and the second weight value are provided via the merchant server.
20. The non-transitory computer storage of claim 18 , wherein the computer-executable instructions further cause the one or more processors perform a step of:
determining that the first online transaction is fraudulent based on a comparison of the first level of risk to a predetermined threshold value.