Security using velocity metrics identifying authentication performance for a set of devices
US-10015153-B1 · Jul 3, 2018 · US
US2017193515A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2017193515-A1 |
| Application number | US-201615395670-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 30, 2016 |
| Priority date | Oct 27, 2015 |
| Publication date | Jul 6, 2017 |
| Grant date | — |
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A computer-implemented method for determining if a current wallet-based transaction initiated by a digital wallet user is fraudulent is provided. The method includes receiving current wallet-based transaction data relating to the current wallet-based transaction, and identifying one or more profile characteristics relating to a digital wallet owner based on the current wallet-based transaction data. The method further includes retrieving historical payment card transaction data based on the identified one or more profile characteristics. The method also includes comparing the current wallet-based transaction data and the historical payment transaction data to determine if the current wallet-based transaction is fraudulent.
Opening claim text (preview).
1 . A computer-implemented method for determining if a current wallet-based transaction initiated by a digital wallet user is fraudulent, the method comprising: receiving current wallet-based transaction data relating to the current wallet-based transaction, the current wallet-based transaction data identifying a digital wallet account to be used by the digital wallet user; identifying one or more profile characteristics relating to a digital wallet owner based on the current wallet-based transaction data, the digital wallet owner being an owner of the identified digital wallet account; retrieving historical payment card transaction data based on the identified one or more profile characteristics, the historical payment card transaction data relating to a plurality of historical payment card transactions for a plurality of payment card owners satisfying all of the identified one or more profile characteristics and indicating a prediction of a purchasing behavior of the digital wallet owner; and comparing the current wallet-based transaction data and the historical payment transaction data to determine if the current wallet-based transaction is fraudulent. 2 . The method according to claim 1 , wherein the step of receiving the current wallet-based transaction data relating to the current wallet-based transaction further comprises assigning a fraud score to the current wallet-based transaction, the fraud score indicating a likelihood that the current wallet-based transaction is fraudulent. 3 . The method according to claim 2 , wherein the step of comparing the current wallet-based transaction data and historical payment transaction data to determine if the current wallet-based transaction is fraudulent further comprises: updating the fraud score when the current wallet-based transaction is determined to be fraudulent. 4 . The method according to claim 2 , wherein the step of comparing the current wallet-based transaction data and historical payment transaction data further comprises comparing the fraud score with a predetermined threshold value. 5 . The method according to claim 4 , wherein the current wallet-based transaction is determined to be fraudulent when the fraud score is more than the predetermined threshold value. 6 . The method according to claim 1 , further comprising: obtaining an identity of a merchant with whom the digital wallet user has initiated the current wallet-based transaction; and comparing the identity of the merchant with a list of merchants to determine if the current wallet-based transaction is fraudulent, the list of merchants comprising merchants who have been identified to be unauthorized to initiate a transaction. 7 . The method according to claim 6 , further comprising updating the fraud score when the current wallet-based transaction is determined to be fraudulent. 8 . The method according to claim 1 , further comprising: determining current product data associated with the current wallet-based transaction; and comparing the current product data with a list of product data to determine if the current wallet-based transaction is fraudulent, the list of product data comprising products which have been purchased by the digital wallet owner. 9 . The method according to claim 1 , further comprising: determining a number of login attempts for the digital wallet account of the digital wallet owner. 10 . The method according to claim 9 , further comprising: identifying a digital wallet device used in the current wallet-based transaction; and comparing the digital wallet device with one or more digital wallet devices to determine if the current wallet-based transaction is fraudulent, the one or more digital wallet devices comprising devices authorized to initiate a wallet-based transaction on behalf of the digital wallet owner. 11 . The method according to claim 10 , further comprising: transmitting a verification request to a digital wallet device included in the one or more digital wallet devices when it is determined that the current wallet based transaction is fraudulent; and settling the current wallet based transaction based on a verification input. 12 . An apparatus for determining if a current wallet-based transaction initiated by a digital wallet user is fraudulent, the apparatus comprising: at least one processor; and at least one memory including computer program code; the at least one memory and the computer program code configured to, with at least one processor, cause the apparatus at least to: receive current wallet-based transaction data relating to the current wallet-based transaction, the current wallet-based transaction data identifying a digital wallet account to be used by the digital wallet user; identify one or more profile characteristics relating to a digital wallet owner based on the current wallet-based transaction data, the digital wallet owner being an owner of the identified digital wallet account; retrieve historical payment card transaction data based on the identified one or more profile characteristics, the historical payment card transaction data relating to a plurality of historical payment card transactions for a plurality of payment card owners satisfying all of the identified one or more profile characteristics and indicating a prediction of a purchasing behavior of the digital wallet owner; and compare the current wallet-based transaction data and the historical payment transaction data to determine if the current wallet-based transaction is fraudulent. 13 . The apparatus according to claim 12 , wherein the at least one memory and the computer program code are further configured with the at least one processor to receive the current wallet-based transaction data relating to the current wallet-based transaction further comprises assigning a fraud score to the current wallet-based transaction, the fraud score indicating a likelihood that the current wallet-based transaction is fraudulent. 14 . The apparatus according to claim 13 , wherein the at least one memory and the computer program code are further configured with the at least one processor to update the fraud score when the current wallet-based transaction is determined to be fraudulent. 15 . The apparatus according to claim 13 , wherein the at least one memory and the computer program code are further configured with the at least one processor to compare the fraud score with a predetermined threshold value. 16 . The apparatus according to claim 15 , wherein the current wallet-based transaction is determined to be fraudulent when the fraud score is more than the predetermined threshold value. 17 . The apparatus according to claim 12 , wherein the at least one memory and the computer program code is are further configured with the at least one processor to: obtain an identity of a merchant with whom the digital wallet user has initiated the current wallet-based transaction; and compare the identity of the merchant with a list of merchants to determine if the current wallet-based transaction is fraudulent, the list of merchants comprising merchants who have been identified to be unauthorized to initiate a transaction. 18 . The apparatus according to claim 17 , wherein the at least one memory and the computer program code are further configured with the at least one processor to update the fraud score when the current wallet-based transaction is determined to be fraudulent. 19 . The apparatus according claim 12 , wherein the at least one memory and the computer program code i
with the personal data of a user · CPC title
with adaptation to user needs · CPC title
Updates performed during online database operations; commit processing · CPC title
involving fraud or risk level assessment in transaction processing · CPC title
Active cards, i.e. cards including their own processing means, e.g. including an IC or chip · CPC title
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