Aspects described herein may relate to methods, systems, and apparatuses for applying machine learning techniques as part of registering, for a user, a payment card with at least one account of a merchant. The machine learning technique may be an unsupervised learning classifier that is configured to determine classifications of merchant groups and/or user groups. Based on a classification, the user may be able to select which merchants to register the payment card. Based on the selection, the payment card may be registered with the user's account at the selected merchants. Further, the registration may be performed based on virtual payment card information configured for use with the merchant. The virtual payment card information may be configured to initiate transactions only with the merchant

A device may receive transaction data associated with transactions. The transaction data may be associated with transaction entries that are associated with the transactions. The device may process, using a matching model, the transaction entries to classify the transaction entries into a set of matched transaction entries and a set of unmatched transaction entries. The device may update a transaction grouping model based on the set of matched transaction entries to create an updated transaction grouping model. The device may determine, using the updated transaction grouping model, that a subset of the set of unmatched transaction entries are associated with a same transaction. The device may classify the subset of the set of unmatched transaction entries as grouped transaction entries. The device may provide an indication that the grouped transaction entries and the set of matched transaction entries are reconciled transactions.

A purchase management system includes a central database arrangement, a customer interface to the central database arrangement, and a bank specific database module, arranged to communicate with a transaction authorization module within a bank. The central database arrangement is arranged to receive, from a purchasing entity through the customer interface, purchasing rules applying to a purchasing group, and includes central processing means arranged to: add a selected purchasing group as metadata linked to a first transaction ID in the central database arrangement; add the purchasing rules applying to said purchasing group as metadata linked to the first transaction ID in the central database arrangement; and transfer metadata linked to the first transaction ID to the bank specific database module. The bank specific database module is arranged to receive a purchase approval request from the transaction authorization module, which purchase approval request comprises transaction information, including at least the purchase amount, linked to the first transaction ID.

A secondary authentication system and computer-implemented method for obtaining real-time cardholder authentication of a payment transaction associated with a cardholder's payment card includes a memory device for storing data and a processor communicatively coupled to the memory device. The processor is programmed to receive a payment authorization request message including a primary account number corresponding to a payment account of the cardholder for funding the payment transaction. In addition, the processor is programmed to determine whether the payment account requires secondary authentication by the cardholder for the payment transaction, and if, based on the determination, the payment account requires secondary authentication of the payment transaction, place the payment transaction on hold. Furthermore, the processor is programed to identify a mobile device associated with the payment account of the cardholder, transmit an authentication request message to the identified mobile device, and receive, from the mobile device, an authentication response message.

Various embodiments are generally directed to method and devices to receive biometric data and transaction data relating to a transaction, apply a model to the biometric data and the transaction data to determine an emotional state of the user during the transaction, and determine an action associated for the transaction based on the emotional state of the user during the performance of the transaction. Embodiments further include causing performance of the action.

A method and system for capturing contactless communication interactions for debugging and evaluating a contactless card. The method includes receiving Near Field Communication (NFC) signaling from a contactless card. Upon receiving the NFC signal, a contactless transaction is initiated between a card emulation device and a payment device. The method includes obtaining Application Protocol Data Unit (APDU) commands from the payment device in response to initiation of the contactless transaction. Further, the APDU commands are provided to the contactless card, and in response, an APDU response is received from the contactless card. Thereafter, the method includes transmitting the APDU response of the contactless card to the payment device. The APDU command and APDU response are stored in each of the reader device and the card emulation device for debugging and evaluating the contactless card transaction.

A server computer system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a computing device, a signal including digital wallet pass data; store the digital wallet pass data in association with an account; monitor location data and data associated with a value card account to identify a notification event; responsive to identifying the notification event, generate a notification based on the digital wallet pass data; and send, via the communication module and to the computing device, a signal causing the computing device to display the notification.

Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems.

The present invention relates to virtual code-based control system, method and program, a control device and a control signal generating means. A control method on the basis of a control signal comprising a virtual code according to an embodiment of the present invention comprises: a control signal receiving step for a control module receiving, from a control signal generating means, a control signal generated by means of combining a plurality of specific codes in accordance with a particular rule; a step for the control module extracting the plurality of specific codes comprised in the virtual code; and a command searching step for the control module searching for a storage location comprising a particular command on the basis of the plurality of specific codes.

Systems and methods for authentication may include a first device including a memory, a communication interface, and one or more processors. The memory may include a counter value, transmission data, and at least one key. The one or more processors may be in communication with the memory and communication interface. The one or more processors may be configured to create a cryptogram using the at least one key and counter value, wherein the cryptogram includes the counter value and the transmission data; transmit the cryptogram via the communication interface; update the counter value after cryptogram transmission; receive an encrypted access token via the communication interface; decrypt the encrypted access token; store the decrypted access token in the memory; and transmit, after entry of the communication interface into a communication field, the access token via the communication interface for access to one or more resources, wherein the access token is encrypted.