Methods and systems are disclosed for payment authentication. For example, a method may include: the method comprising: storing a first device fingerprint in association with a token representing a primary account number, the first device fingerprint being derived from a device attribute of a user device and behavioral biometric data derived from a behavioral pattern of a user in using the user device; receiving an authentication request indicative of the token and a second device fingerprint generated by a customer device associated with a customer of a merchant, the authentication request being associated with a transaction between the merchant and a customer using the token; identifying the stored first device fingerprint based on the token indicated by the authentication request; and determining whether the second device fingerprint matches the stored first device fingerprint.

Biometric authentication, decentralized learning frameworks, and adaptive security protocols and services for a distributed operator terminals network are described. In some embodiments, the terminals may be hardware terminals, kiosks, or clients. In some embodiments, a security analysis may be performed, and security scores may be determined, for visitors requesting operations at terminals. Security scores may be determined by a vendor, in communication with the operator terminals, based on aggregation of a plurality of factors, wherein each factor may be weighted. The factors may incorporate operator settings or preferences. In one embodiment, the factors include one or more facial recognition factors. The one or more facial recognition factors may be used for biometric authentication. The vendor may use the security scores to determine user privileges or permissions for the operations. The vendor may deliver instructions or messages to the terminals based on the determinations.

An information processing device includes a reception unit that receives moving process information indicating a moving process including a transportation and a commercial facility to be used by a user, and a generation unit that generates authentication information that is commonly usable at the transportation and the commercial facility to be used by the user in accordance with the moving process and is used for authenticating the user.

Disclosed are methods and apparatuses for creating a verified mutually authenticated transaction between a service provider and an on-line identity for a physical client person. A dynamic optical mark may be displayed on a device screen where the physical client person is using a web service. The dynamic optical mark may be recognized via scanning the dynamic optical mark by a personal mobile device equipped with a camera. The verified mutually authenticated transaction between the service provider and the on-line identity for the physical client person may be used for sharing personal data of the physical client person by using out-of-band optical mark recognition of the dynamic optical mark. The verified mutually authenticated transaction may be initiated with a time-limited one-time password comprising a sequence of numbers encoded in the dynamic optical mark.

A system for facilitating a consumer-driven marketplace for sellers. The system electronically receives requirement information of a consumer for a requested asset. The system also electronically receives qualification information of the consumer for the requested asset. The system further electronically communicates at least some of the requirement information and qualification information of the consumer to one or more sellers to allow the one or more sellers to communicate an offer to the consumer.

An electronic reader may operate in a normal mode. The reader may evaluate criteria to determine whether to continue operating in the normal mode or operate in a secure mode. The secure mode may include deactivating functionality in the reader. Deactivating functionality may include at least one of disabling a credential reading functionality, disabling a credential processing functionality, and disabling a credential communicating functionality.

Described in example embodiments herein are techniques for implementing an automated banking machine such as an ATM. An example embodiments, tracks the flow of a note through an ATM. Another embodiment corrects errors detected during a note flow. Some embodiments are in the form of security protocols for communications or other communication protocols, or techniques for monitoring devices operating in the ATM. Yet another example embodiment is directed to security of a currency cassette. Still yet another embodiment is directed to detecting tampering of the ATM's gate and/or shuttle. Yet still another embodiment determines if notes in a shuttle were delivered.

A computer system is provided that communicates with a distributed blockchain computing system that includes multiple computing nodes. The exchange stores an order book and a plurality of digital wallets associated with different clients. The computer system receives new data transaction requests that are added to the order book. A match is identified between data transaction requests and hashes associated with the digital wallets associated with the respective data transaction requests are generated. The counterparties receive the hashes of the other party along with information on the match and each party causes blockchain transactions to be added to the blockchain of the blockchain computing system. The computing system then monitors the blockchain to determine if both sides of the match has been added to the blockchain.

A bioptical workstation captures images of illuminated symbols with a solid-state imager. In an embodiment, the workstation includes a removable camera module in the workstation away from the imager. The camera module captures an image of the operator through an upright window. The captured image of the illuminated symbol and the captured image of the operator are independently processed. The image of the operator is captured only with ambient light.

A first service request is received from a source system to perform a first service from a target system user account, where the first service request includes information identifying the user account for both the source system and the target system. Sending the first service request to the target system to load a user account login interface for logging in to the target system user account through the source system. A first service performance result is received from the target system. A mapping relationship between the source system and the target system user account is stored. A second service request is received. The target system user account is identified based on the second service request and the stored mapping relationship. The second service request and the target system user account are sent to the target system for performing the second service.