Abstract: A system or method may be provided to facilitate automatic user authentication for electronic transactions. In particular, the system or method may automatically authenticate a customer such that the customer may make complete hands free payments without the intervention of the customer or the merchant. The automatic authentication may include a check-in process and a payment authentication process. When a customer enters a designated area of a merchant, a BLE beacon device of the merchant may automatically check the customer in at the designated area of the merchant. After the customer is checked in at the merchant's designated area, the merchant may identify the customer who is about to make a payment from a plurality of other customers who also are checked in at the merchant via Bluetooth proximity and facial recognition in parallel. Thus, the customer may automatically be authenticated to make payments by facial recognition or Bluetooth proximity.

Abstract: A system for implementing at least one cryptocurrency transaction at a point-of-sale by using a mobile terminal is provided. The system is operable to provide authentication for implementing the one or more cryptocurrency transactions, wherein the system is operable to send at least one authentication request for the at least one cryptocurrency transaction from a payment terminal to a payment service hosted via one or more virtual computing machines, wherein the payment service is operable to provide a request for a PIN code at the mobile terminal; to send the PIN code from the mobile terminal via a secure channel to open a vault in the one or more virtual machines, wherein the vault contains one or more private keys (PKI) which are useable for authenticating the at least one cryptocurrency transaction; and to confirm execution of the at least one cryptocurrency transaction to at least the payment terminal.

Abstract: Systems and methods disclosed herein related to a fraud detection system that receives data from multiple sources and normalizes the data to create transaction data using overlapping data from the multiple sources. Fraud analysis is performed using a probabilistic approach to alert generation, wherein alerts are only sent to customers when the probability of fraud exceeds a threshold. As a result, false positives are avoided.