Abstract: A method, system, and computer program product generate, with a payment network, a first value (a) and a second value (ga), the second value (ga) generated based on the first value (a) and a generator value (g); generate, with the payment network, a plurality of random merchant numbers (mi) for a respective plurality of merchant banks; determine, with the payment network, a merchant product (M) based on a product of the plurality of random merchant numbers (mi); generate, with the payment network, a public key (pki) based on the second value (ga), the merchant product (M), and the random merchant number (mi) and a random key (rki) based on the merchant product (M) and the random merchant number (mi) for each respective merchant bank; and communicate, with the payment network, the public key (pki) and the random key (rki) to at least one respective merchant bank.

Abstract: Methods and systems for processing interactions with account assertions are disclosed. A method includes receiving, by an assertions model manager, a first request from a resource provider computer for a set of assertions including an account assertion, related to a digital identity of a user. The method then includes responding, by the assertions model manager, to the first request with a response message, comprising a set of assertions, wherein one of the plurality of assertions is an account assertion. Then the method includes receiving, by the assertions model manager, a second request from the resource provider for a value interaction from the user and initiating, by the assertions model manager, the value interaction.

Abstract: A method is disclosed. The method comprising receiving, by a processor computer from a coordination computer, a push transfer instruction message comprising a recipient address associated with a recipient, a data item, and a time period for transferring the data item to a recipient account associated with the recipient address. The method also includes storing, by the processor computer, the push transfer instruction message. After the time period, the push transfer instruction message comprising the data item is transmitted to a recipient authorizing entity computer associated with the recipient address to transfer the data item.

Abstract: Provided is a method for fraud prevention using deep learning and survival models. The method may include receiving, with at least one processor, transaction data associated with a plurality of transactions of at least one payment account. At least one attempted attack may be detected based on the transaction data. A fraud risk score for each subperiod of a plurality of subperiods in a time period following the at least one attempted attack may be generated based on the transaction data using a deep learning model and a survival model. The fraud risk score for each respective subperiod may be associated with a probability that a fraudulent transaction will not occur by the respective subperiod. A system and computer program product are also disclosed.

Abstract: Systems and methods for facilitating payment transactions using quick-response (QR) codes are provided. A first machine readable code encoding first data generated by an access device is scanned by a communication device. The communication device generates a cryptogram based on the first data encoded within the first machine readable code. The communication device then obtains financial credentials data from a payment application being executed on the communication device. A second machine readable code encoding second data comprising the financial credentials data and the cryptogram is then generated. The second machine readable code is displayed on a display of the communication device, wherein the second machine readable code is scanned by the access device.

Abstract: Embodiments of the present invention are directed to methods and systems for managing a cryptocurrency payment network comprising one or more issuer nodes and one or more distributor nodes. Issuer nodes may be granted different rights from distributor nodes with respect to the issuance and distribution of digital currency within the cryptocurrency payment network. A management system server computer may generate unique node verification key pairs for each node in the cryptocurrency payment network, where the node verification key pairs may be used to identify and authenticate issuer nodes and distributor nodes.

Abstract: An application data exchange technique may include a communication device establishing a communication channel with an access device, receiving an access device profile of the access device, and emulating a virtual access device on the communication device based on the access device profile. The virtual access device executing on the communication device may issue a set of application commands to a transaction applet executing on the communication device, and receive a set of application data responses from the transaction applet in response to the set of application commands. The communication device, may then generate a data packet by concatenating application data contained in the set of application data responses, and transmitting the data packet to the access device via the communication channel.

Abstract: A method is disclosed. The method comprises receiving, from a communication device, a provisioning request message including a user device identifier and a cryptogram in a first message format, which is received from the user device by the communication device during a message exchange process between the user device and the communication device. The method also includes generating an authorization request message in a second message format, the authorization request message comprising the cryptogram, transmitting the authorization request message to an authorizing computer, and receiving an authorization response message from the authorizing computer. The method also includes providing access data to the communication device.

Abstract: Provided is a method for managing source identifiers of clustered records, which may include receiving a plurality of records, each having identification data associated with a source thereof. The records may be sorted into a first plurality of clusters. A first source identifier may be generated for each cluster. Update data associated with an update to the records may be received. At least some of the records may be sorted into a second plurality of clusters. A first cluster of the second plurality of clusters may have first identification data different from at least one cluster of the first plurality of clusters, and a second cluster of the second plurality of clusters may have identification data that substantially matches the at least one cluster. Whether to assign the first source identifier to the first or second cluster may be determined. A system and computer program product are also disclosed.

Abstract: Described are a system, method, and computer program product for machine-learning-based traffic prediction. The method includes receiving historic transaction data including a plurality of transactions. The method also includes generating, using a machine-learning classification model, a transportation categorization for at least one consumer. The method further includes receiving at least one message associated with at least one transaction, identifying at least one geographic node of activity in the region, and generating an estimate of traffic intensity for the at least one geographic node of activity. The method further includes comparing the estimate of traffic intensity to a threshold of traffic intensity and, in response to determining that the estimate of traffic intensity satisfies the threshold: generating a communication configured to cause at least one navigation device to modify a navigation route; and communicating the communication to the at least one navigation device.

Abstract: Described herein are a system and techniques for updating balance information for a disbursement module on a portable device using a transaction module on that same portable device. In some embodiments, each of the transaction module and the disbursement module may be associated with a different transaction processing system. A client device may be used to interact with the transaction module of the portable device via a communication element. In some embodiments, the client device may be configured to receive an account identifier from the transaction module, generate and transmit an authorization request message to an authorization entity, and upon receiving authorization from the authorization entity, cause the transaction module on the portable device to update a balance associated with the disbursement module.

Abstract: Described herein is a network apparatus with secure element and related systems, methods, and apparatuses. A described method includes receiving a request to perform a transaction. The method also includes obtaining confirmation that a network address associated with the request corresponds to a registered physical address. The method further includes obtaining account data and conducting a transaction using the account data.

Abstract: A clearing delay estimate may be employed that provides issuers with an accurate estimate for when a transaction will be cleared, thus providing more transparency to issuers to more efficiently manage funds. An algorithm may be employed to estimate clearance timing information and insert the timing information into communications with the issuer or other parties to a transaction involving a payment device. The estimated clearance timing information may be determined based on machine learning and other artificial intelligence techniques using historical data related to clearance timing for the particular entities involved in each transaction.

Abstract: A method for the use of electronic transactional tokens includes: generating a plurality of transactional tokens including a first token; associating each of the transactional tokens with a plurality of users, the first token associated with a first user; monitoring usage of the transactional tokens in a plurality of transactions in a local region or network; and in response to receiving transactional data for the first transaction, updating the first token from a first state to a second state (e.g., to provide a benefit when the token is applied in the local region or network). The tokens may be generated and monitored using a token processing system, which uses transaction data received by a transaction handler that is handling transaction processing for the transactions.

Abstract: A direct payment token generation method provides executable codes to a client device. The executable codes invokes functionalities in a browser application. The set of executable codes further provides login prompts to the user for logging to a virtual wallet account. The method provides a list of products for purchase from merchants in response to a successful login to the virtual wallet account. A graphical element is provided for purchasing one provided product from one of the merchants. In response to receiving a selection of the provided graphical element confirming the purchase, a payment token is generated for the virtual wallet account. The received selection includes confirming detailed information of the purchase. The payment token is transmitted to the client device and is embedded in a payment payload with the detailed information of the purchase. The payment load is transmitted to the one of the merchants to complete the purchase.

Abstract: Embodiments relate to systems, apparatuses, and methods for performing transaction signing utilizing asymmetric cryptography and a private ledger. A transaction data is signed by a user device using a private key, and may be utilized in an authorization request message without including a real credential of the user. A transaction verification and accounting module (TVAM) can verify the signed transaction data and can continue processing the transaction.

Abstract: An identity chaining fraud detection method that allows each current transaction to be linked to other transactions through commonly shared identities. Over a period of time the links create a chain of associated transactions which can be analyzed to determine if identity variances occur, which indicates that fraud is detected. Additionally, if a specific identity is detected as being fraudulent, that identity can be tagged as fraudulent and can be referenced by a plurality of other merchant transaction chains to determine fraud.

Abstract: A method is disclosed. The method comprises receiving, by an identity network computer, a query set including a plurality of test identity attributes. After receiving the query set, the identity network computer may retrieve derivatives of identity attributes associated with a user, and an encrypted trapdoor, then compute an obscured query set using the query set, and optionally the derivatives of identity attributes. The identity network computer may transmit the obscured query set (i) and the encrypted trapdoor to a user device associated with the user, which generates and transmits a first modified trapdoor and the obscured query set to a relying party computer, or (ii) and a second modified trapdoor to the relying party computer. The relying party computer may thereafter use the obscured query set, and the first modified trapdoor or the second modified trapdoor, to determine if the identity attributes is a member of the query set.

Abstract: A method includes receiving historical interaction data, which includes a plurality of historical interactions. Each historical interaction is associated with a plurality of data fields. The method includes assigning a plurality of weights to the plurality of data fields, generating a neural network using the plurality of weights and the plurality of data fields, identifying a first plurality of feature indicators indicative of a first class, the first class being different from a second class; receiving a second plurality of feature indicators derived from data relating to compromised accounts, updating, a probability distribution component using the first plurality of feature indicators and the second plurality of feature indicators, and receiving current data for an interaction. The method also includes applying the probability distribution component to the current data, and scoring the interaction using the probability distribution component.