Apparatuses,methods and systems for a trackable virtual currencies platform
View Patent ↗The APPARATUSES, METHODS AND SYSTEMS FOR A TRACKABLE VIRTUAL CURRENCIES PLATFORM (“TVC”) transform user transaction request input via various TVC components into transaction result output. In one embodiment, information regarding a virtual currency transaction including a user identifier of a user associated with the virtual currency transaction may be received. A potential fraud event threshold score for the user may be calculated by analyzing past fraud data associated with the user, and a virtual currency transaction fraud score may be calculated by analyzing the user's social graph and the user's prior game play patterns. If the virtual currency transaction fraud score exceeds the potential fraud event threshold score for the user, the virtual currency transaction may be identified as potentially fraudulent.
1. A fraud detection processor-implemented method, comprising:
receiving information regarding a virtual currency transaction including a user identifier of a user associated with the virtual currency transaction;
calculating, via a processor, a potential fraud event threshold score for the user, to set a level of tolerance for virtual currency transaction before the virtual currency transaction is flagged as potentially fraudulent;
calculating, via the processor, a virtual currency transaction fraud score by analyzing at least a social graph of the user and prior game play patterns of the user, wherein the social graph of the user identifies interrelationships and interactions between the user and other users participating in the virtual currency transaction, over time;
determining, via the processor, that the virtual currency transaction fraud score exceeds the potential fraud event threshold score for the user;
identifying the virtual currency transaction as potentially fraudulent as a result of the determination; and
tracking the virtual currency transaction that is identified as potentially fraudulent using a batch of tagged virtual currency.
2. The method of claim 1 , wherein calculating the potential fraud event threshold score for the user includes identifying and analyzing data regarding potential fraud events associated with the user and data regarding actual fraud associated with the user.
3. The method of claim 1 , wherein calculating the potential fraud event threshold score is by analyzing the social graph of the user.
4. The method of claim 1 , wherein calculating the virtual currency transaction fraud score is by analyzing the virtual currency transaction based on predetermined suspicious behavior rules.
5. The method of claim 4 , wherein calculating the virtual currency transaction fraud score further includes analyzing social graphs of the other users participating in the virtual currency transaction.
6. The method of claim 1 , further comprising generating a fraud alert if the virtual currency transaction fraud score exceeds the potential fraud event threshold score for the user by a predetermined amount.
7. A fraud detection apparatus, comprising:
a memory;
a processor disposed in communication with said memory, and configured to issue a plurality of processing instructions stored in the memory, wherein the processor issues instructions to:
receive information regarding a virtual currency transaction including a user identifier of a user associated with the virtual currency transaction;
calculate a potential fraud event threshold score for the user, to set a level of tolerance for virtual currency transaction before the virtual currency transaction is flagged as potentially fraudulent;
calculate a virtual currency transaction fraud score by analyzing at least a social graph of the user and the prior game play patterns of the user, wherein the social graph of the user identifies interrelationships and interactions between the user and other users participating in the virtual currency transaction, over time;
determine that the virtual currency transaction fraud score exceeds the potential fraud event threshold score for the user;
identify the virtual currency transaction as potentially fraudulent as a result of the determination; and
track the virtual currency associated with the virtual currency transaction that is identified as potentially fraudulent using a batch of tagged virtual currency.
8. The apparatus of claim 7 , wherein instructions to calculate the potential fraud event threshold score for the user includes instructions to identify and analyze data regarding potential fraud events associated with the user and data regarding actual fraud associated with the user.
9. The apparatus of claim 7 , further comprising instructions to calculate the potential fraud event threshold score is by analyzing the social graph of the user.
10. The apparatus of claim 7 , further comprising instructions to calculate the virtual currency transaction fraud score is by analyzing the virtual currency transaction based on predetermined suspicious behavior rules.
11. The apparatus of claim 10 , further comprising instructions to calculate the virtual currency transaction fraud score by analyzing social graphs of the other users participating in the virtual currency transaction.
12. The apparatus of claim 7 , further comprising instructions to generate a fraud alert if the virtual currency transaction fraud score exceeds the potential fraud event threshold score for the user by a predetermined amount.
13. A processor-readable physical medium storing processor-issuable-and-generated instructions to:
receive information regarding a virtual currency transaction including a user identifier of a user associated with the virtual currency transaction;
calculate a potential fraud event threshold score for the user, to set a level of tolerance for virtual currency transaction before the virtual currency transaction is flagged as potentially fraudulent;
calculate a virtual currency transaction fraud score by analyzing at least a social graph of the user and prior game play patterns of the user, wherein the social graph of the user identifies interrelationships and interactions between the user and other users participating in the virtual currency transaction, over time;
determine that the virtual currency transaction fraud score exceeds the potential fraud event threshold score for the user;
identify the virtual currency transaction as potentially fraudulent as a result of the determination; and
track virtual currency associated with the virtual currency transaction that is identified as potentially fraudulent using a batch of tagged virtual currency.
14. The physical medium of claim 13 , wherein instructions to calculate the potential fraud event threshold score for the user includes instructions to identify and analyze data regarding potential fraud events associated with the user and data regarding actual fraud associated with the user.
15. The physical medium of claim 13 , further comprising instructions to calculate the potential fraud event threshold score by analyzing the social graph of the user.
16. The physical medium of claim 13 , further comprising instructions to calculate the virtual currency transaction fraud score by analyzing the virtual currency transaction based on predetermined suspicious behavior rules.
17. The physical medium of claim 16 , further comprising instructions to calculate the virtual currency transaction fraud score by analyzing social graphs of the other users participating in the virtual currency transaction.
18. The physical medium of claim 13 , further comprising instructions to generate a fraud alert if the virtual currency transaction fraud score exceeds the potential fraud event threshold score for the user by a predetermined amount.