Disclosed are systems and methods for utilizing virtual reality for virtual cards. For example, a method of determining verification information may include: obtaining an image of a merchant site of a merchant captured by at least one camera of a first computing device, wherein the merchant site is displayed on a display of a second computing device; identifying one or more characters in the captured image; determining that the identified one or more characters indicate a virtual credit card number associated with a user; determining a card verification value associated with the virtual credit card number and an expiration date associated with the virtual credit card number; and displaying information regarding the determined virtual credit card number on a display of the first computing device.

Aspects of the disclosure relate to isolating and reinstating nodes in a distributed ledger using proof of innocence. In some embodiments, a first plug-in embedded with the blockchain network may monitor consumer-initiated transactions submitted to an enterprise organization node to determine the legitimacy of each consumer-initiated transaction. The first plug-in may identify consumer-initiated transactions associated with malicious activity and may flag the consumer node for further analysis. A second plug-in may identify and analyze the consumer-initiated transactions associated with the consumer node to determine a proof of innocence value associated with the consumer node. The first plug-in may isolate the consumer node from the distributed ledger if the proof of innocence value exceeds a proof of innocence threshold. Alternatively, the first plug-in may permit the consumer node to remain within the distributed ledger if the proof of innocence value falls below the proof of innocence threshold.

An exemplary method comprises receiving information associated with a game-playing transaction conducted between a user device and a game-playing terminal, wherein the game-playing transaction is associated with a request for playing a game; determining a location of the user device associated with the game; determining the user device is located in an approved location associated with the game; and processing the game-playing transaction based on determining the user device is located in the approved location associated with the game. The game-playing transaction is conducted on a first communication interface, and the information associated with the game-playing transaction is received on a first or second communication interface.

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.

Disclosed herein are methods, systems, and apparatus for processing blockchain-based guarantee information. One of the methods includes receiving a first cyphertext of a first digital document specifying a guarantee from a first computing device associated with at least a first guarantor and one or more zero-knowledge proofs (ZKPs) related to one or more values associated with the guarantee, and the first digital document specifies one or more predetermined conditions of executing the guarantee; verifying that the one or more ZKPs are correct; storing the first cyphertext to a blockchain based on performing a consensus algorithm; receiving a first message from a second computing device associated with a beneficiary or a representative of the beneficiary.

The present invention provides a processing device (1) including a storage unit (112) that stores device-specific information in association with device identification information for identifying each of a plurality of devices, an authentication key request reception unit (101) that receives an authentication key request including device identification information, an authentication key issuing unit (102) that issues an authentication key, a license key request reception unit (103) that receives a license key request including the device identification information and the authentication key, a license key issuing unit (104) that issues a license key, and a revelation control unit (108) that controls revelation of the device-specific information of each device based on issuance states of the authentication key and the license key.

Systems and methods for determining transaction locations are disclosed. In one embodiment, a method includes receiving, from a computing terminal, information indicating the completion of a transaction associated with a mobile device, sending, to the mobile device, a confirmation of the completion of the transaction, receiving, from the mobile device, location information indicating latitude and longitude information of the mobile device, confirming that the location information is within a predetermined distance of a stored location of the computing terminal, updating the location information associated with the computing terminal to include the received location information, and determining, based on the location information associated with the computing terminal, a location of the computing terminal..

A system includes a server including a controller. The controller is configured to obtain information regarding consent or non-consent of a user of a vehicle to disclosure of history data of the vehicle to a third party, and determine, when determination is made that consent of the user is not obtained, whether to transmit a signal that prompts for obtaining consent of the user, based on at least one of the history data of the vehicle and user activity information of the user.

Under collective buying, quantity discounts are offered based on buyers aggregated purchasing quantity instead of individual purchasing quantities. As the price decreases with the total amount, buyers have positive externalities that allow them to obtain lower prices than they would otherwise be able to get individually (Chen and Roma 2011, 181).

Although collective buying has been widely used for business-to-business and business-to-consumer transactions (Chen and Roma 2011, 181), there is an underlying problem with the use of discount vouchers as they can call into question the reliability that the minimum number of buyers will make the purchase. In practice, once discount vouchers have been delivered, the minimum order quantity set by the seller is significantly greater than the aggregated quantity purchased.

CollectiveBuying.io (CB) discovered new processes that are unique and valuable improvements to the traditional collective buying model. CB’s techniques solve existing problems, can adapt to find fast solutions, and can prevent future problems. In the problem mentioned previously, CB’s cryptographic methods provide a means by which the buyers demonstrate a Commitment-to-Purchase to increase the aggregated quantity purchased. In addition, CB’s improved model operates on blockchain cryptography to provide buyers with the additional benefits of authentication, authorization, anonymization, and accountability.

CB is a method for use in the practice, administration, and management of economic models; the processing of financial data; and when determining the exchange of goods or services. Furthermore, CB is a model, a design, a process, and an improvement for data subject to authentication, authorization, anonymization, and other security through techniques such as digital rights management, encryption, tokenization, biometrics, device profiling, localization, timing, risk or fraud assessment, distributed ledger transactions, cryptocurrency transactions, software licensing, and voting (United States Patent and Trademark Office [USPTO]).

A method for addressing a shopper's eligibility for frictionless checkout may include identifying at least one shopper in a retail store designated as not eligible for frictionless checkout; in response to the identification of the at least one shopper designated as not eligible for frictionless checkout, automatically identifying an ineligibility condition associated with the at least one shopper's designation as not eligible for frictionless checkout; determining one or more actions for resolving the ineligibility condition; causing implementation of the one or more actions for resolving the ineligibility condition; receiving an indication of successful completion of the one or more actions; and in response to receipt of the indication of successful completion of the one more actions, generating a status indicator indicating that the at least one shopper is eligible for frictionless checkout and storing the generated status indicator in a memory.