195 results about "Electronic transaction" patented technology

An electronic hardware wallet for conducting cryptocurrency transactions, blockchain transactions, or other secure communications is embodied on a monolithic integrated circuit (IC) die supported on a single substrate. The monolithic semiconductor device can include a non-volatile data store for storing application software executable by the multi-core processor, and the secure element can include a secure data store for storing secret data (e.g., a private key) for use in a secure electronic transaction. In some embodiments, the secure element can include hardware logic embodying a cryptocurrency algorithm associated with executing the secure electronic transaction and can have a limited and selective communication bus between the secure element and the multi-core processor. The electronic hardware wallet can communicatively couple with one or more other devices to facilitate a multi-party computation (MPC) algorithm for authenticating the cryptocurrency algorithm and validating the secure electronic transaction.

The illustrative embodiments provide a data platform, system and method for utilizing carbon credits through blockchain-based tokenization. The platform receives carbon utilization data corresponding to at least one carbon credit and executes a smart contract on a blockchain network based on the received data. Execution of the smart contract generates one or more blockchain tokens that embed metadata including a hash of the carbon utilization data and a unique security identifier. The platform performs electronic transactions for the tokens by propagating transactions for distributed consensus, verifying token authenticity through comparisons with distributed-ledger records, or generating immutable electronic records indicating tracking information for the carbon credit. Records of the electronic transactions are stored in a distributed ledger as immutable entries linking token activity to corresponding carbon utilization data.

The present invention relates to a method for facilitating electronic transactions between transmitting bank entity and a receiving bank entity made by a user. The method involves receiving payment details from a user through a user interface and initiating a transaction request using these payment details by the transmitting bank entity. The transaction request is then transmitted to a receiving bank entity, which processes the request to determine transaction approval based on the provided payment details. The receiving bank entity subsequently sends a transaction response to the transmitting bank entity, indicating approval or denial of the transaction request, back to the transaction processing system. Finally, the user is notified of the transaction response via the user interface. Disclosed embodiments optimize and streamline the electronic transaction process, ensuring efficient and secure handling of payment details and transaction requests between bank entities.

A system for securely updating an electronic transaction card held by an account holder with an additional account and / or account data is described. A dynamic transaction card may be securely updated with an additional account by using pre-stored shell data and / or inactive data, whereby the pre-stored shell data may be populated using data received from an issuer system and / or the inactive data may be activated via an activation signal received from a mobile device.

A transactional method and system of incentivizing task performance using token-based exchange for electronic payment authentications. The system and method are configured to reward a person with electronic tokens for tasks that are performed and verified by the system. These tokens can then be exchanged by the user for completing purchases via online retailers or other electronic payment-based services. Verification can involve the use of natural language processing and image comparison algorithms to determine whether a particular task has been successfully completed.

There are provided systems and methods for automated code generation using large language models (LLMs) for software platform integrations with computing services. An online transaction processor or other service provider may provide computing services and platforms to entities including merchants for electronic transaction processing and other account services. To provide for conde integrations of the computing services with software platforms of merchants, such as software systems for merchant websites and applications, the service provider may provide for an automated code generation tool that processes data for the software platform and the service to be integrated and provides recommendations and source code. An LLM may be prompted in parts to generate the code after analyzing legacy code from previous integrations and information for the merchant's software platform, and the merchant may be provided new code for testing and implementation.

There are provided systems and methods for a computing framework for enforcement of data privacy consent through device fingerprints. A service provider, including an electronic transaction processor, may provide consent management and enforcement through device fingerprints server-side in place of using device-side cookies or other data. When a device interacts with a service provider and provides or generates user data, the user of the device may opt-in to consenting to share or use that user data for targeted content and / or personalized services. The device may be fingerprinted using unique device parameters and a fingerprinting algorithm to generate a unique device identifier. User segments may then be built for the user based on the user data and to hide or obfuscate the user data. The device fingerprint may then be shared with the user segments so that when the device is further detected, targeted content and personalization may be provided.

Disclosed are systems, servers and methods for a novel, multifactor-token based framework for securely executing electronic transactions while protecting user and transactional data related to and / or communicated during the transactions. The disclosed systems and methods enable an on-demand multifactor token to be generated for electronic transactions, whereby the tokens can be specific to a type of transaction, a type of entity and / or other party involved, and the like. The disclosed tokens can be relayed between users and the parties they are interacting with rather than personally identifiable information, which ensures a user's data is securely maintained and prevented from undesired exposure on a network.

Systems and methods are disclosed for movement-based signature authentication. One method comprises determining one or more features associated with a user based on one or more two-dimensional images and determining one or more body points associated with the user based on one or more three-dimensional images. A movement pattern of each body point of the user is determined based on the one or more three-dimensional images. The one or more determined features are compared to corresponding one or more stored features associated with the user. If the one or more detected features match the one or more stored features, the one or more determined movement patterns are compared to a unique electronic signature associated with the user. Upon determining that the one or more determined movement patterns match the unique electronic signature, the user is authenticated for electronic transaction.

A system and method may generate a normalized protocol model that leverages heterogeneous distributed ledger technology and is interoperable across different blockchain networks that may initially use different network protocols. The model may be generated by leveraging neuro-symbolic artificial intelligence (AI). The model that is generated may be based on the different network protocols that are in use at the different blockchain networks. The model may be adopted by the blockchain networks upon the blockchain networks providing unified consent to its adoption. The model may be required to be implemented by each of the different blockchain networks. The consensus to adopt the model may be recorded in one or more smart contracts. Copies of the smart contracts may be stored at the blockchain networks. The normalized protocol model may allow electronic transaction, data exchanges, and communications to be performed across blockchain networks and recorded in a heterogeneous distributed ledger.

There are provided systems and methods of bot detection through explainable deep learning and rule violation codebooks from generative AI. A service provider, such as an electronic transaction processor for digital transactions, may provide computing services to users for processing various requests and interactions with those users. However, malicious users may utilize bots, such as automated scripts and software applications, that attempt to conduct fraud, compromise systems and data, and the like. To provide better bot and bot activity detection, the service provider may implement an explainable deep learning system that may generate rule violations of rules indicating bot activity or presence in computing logs and interactions using a generative AI. The violations may have a corresponding explanation in codebooks to automate bot detection. When bot activity is detected, the explanation may provide a reason for the bot activity detection.

The invention relates to the technical field of enterprise data security exchange, and particularly discloses a data space system and a connector assembly and a data circulation method thereof. The system comprises: a data space platform providing enterprise registration, purchase and registration of a connector assembly, issuing and transaction functions of a data product, and issuing a signed electronic transaction contract; the at least two connector assemblies are deployed in the corresponding enterprise intranet and have public network access addresses, and the zero-trust gateway controls the access permission granularity of a network port of the deployment equipment based on a dynamic strategy; the network agent module receives a data request of a user, performs asymmetric encryption processing on request data, and initiates a validity verification request to the connector service module through the Socket communication interface; the connector service module performs validity verification on the validity verification request based on the transaction evidence and the electronic contract information and returns a result; the method has the advantages of solving the data island phenomenon, improving the safety protection capability and reducing the deployment operation and maintenance complexity.

A computer system and method for tokenizing an IoT device is provided. The system comprises at least one processor and a memory storing instructions which when executed by the processor configure the processor to perform the method. The method obtaining device information, generating a credential token based on the device information, and processing an electronic transaction using the credential token.

A method for detecting fraudulent transactions may include receiving transaction data for a plurality of transactions, assigning a unique identifier to each transaction, sorting the plurality of transactions into a first plurality of groups of transactions by a first sorting parameter, assigning the unique identifier of a first transaction within each group to all other transactions within the respective group, sorting the plurality of transactions into a second plurality of groups of transactions by a second sorting parameter, assigning the unique identifier of a second transaction within each group to all other transactions within the respective group, determining whether each group of transactions is a sequence of fraudulent transactions, and upon determining that a group of transactions is a sequence of fraudulent transactions, marking each transaction among the determined group of transactions as potentially fraudulent.

Computer implemented systems and methods are disclosed involving technological advancements in the processing of electronic transaction processing. A system may comprise a networked environment including heterogeneous or homogenous payment processing systems. A centrally accessible server machine storing an automatic savings program module and rules controls the generation and dissemination of new transactions derived from incoming transactions. Moreover, the networked system may be used to control authorization of electronic transactions in a near real-time manner. The networked system may be used to distribute a financial health of a user in a user-friendly, mobile form factor.

To provide an electronic transaction management system for providing a tip that enables users who give tips and tip recipients to send and receive tips, even when located away from each other; that provides tip distribution to a user randomly selected from all users; that can be expected to improve the interest due to the expectations for the distribution, and as a result, enhance the motivation for users to give tips; that enables increasing the strong sense of connection between the users and the tip recipients; and that enables elevating the mere act of giving tips to a kind of event.SOLUTION: Regarding a management server 10 and an electronic transaction management system comprising the management server and a plurality of user terminals, the management server comprises distribution means 5 for distributing an arbitrary percentage, an arbitrary amount, or other forms of an arbitrary tip transferred from the user terminals, to a recipient of distribution for the tip, a user selected randomly by the management server from all users giving a tip, and distributing the remaining percentage, the remaining amount, or other forms to the tip recipient or the like.SELECTED DRAWING: Figure 1

Systems / methods which utilize machine learnt networks for efficiently proactively preventing an electronic data transaction processing system, such as an electronic trading system, from transitioning to an anomalous state which must be reverted, e.g., to unwind one or more processed transactions, or where further state changes must be restricted, e.g., by only allowing limited processing of subsequently received transactions, or prevented, e.g., the processing of subsequently received transactions is temporarily or permanently halted. Using a machine learnt network, the disclosed systems / methods are able to recognize both anticipated and unanticipated anomalous transactions which would result in an anomalous state reducing occurrence thereof and minimizing having to revert, pause or halt the electronic trading system while also minimizing the impact on the performance of the electronic trading system.

Systems and methods for executing real-time electronic transactions by a dynamically determined transfer execution date are disclosed. One method includes receiving, at an application programing interface (API) system, an electronic transaction request on a receipt date. The API system may identify a value associated with the electronic transaction request as well as a threshold settlement date. The value may then be compared to a predetermined threshold and at least one transaction network certified to process the electronic transaction request may be ascertained. The API system may project a processing time for each of the ascertained transaction networks. An optimal transaction network and transfer execution date may be determined based on comparison of the projected processing times to a timeline designated by the receipt date and the threshold settlement date. The electronic transaction request may be processed into a recipient account on the transfer execution date via the optimal transaction network.

Systems and methods for executing real-time electronic transactions by a dynamically determined transfer execution date are disclosed. One method includes receiving, at an application programing interface (API) system, an electronic transaction request on a receipt date. The API system may identify a value associated with the electronic transaction request as well as a threshold settlement date. The value may then be compared to a predetermined threshold and at least one transaction network certified to process the electronic transaction request may be ascertained. The API system may project a processing time for each of the ascertained transaction networks. An optimal transaction network and transfer execution date may be determined based on comparison of the projected processing times to a timeline designated by the receipt date and the threshold settlement date. The electronic transaction request may be processed into a recipient account on the transfer execution date via the optimal transaction network.

A real-time transaction location system for quickly and conveniently locating an electronic transaction within a transaction processing system in real time. The real-time transaction location system includes a transaction location tool that is communicatively coupled to the transaction processing system. The transaction location tool can assign a unique search identifier to an electronic transaction received by the transaction processing system based on a received transaction identifier and an application identifier that identifies a processing application of the transaction processing system that is selected based on the format of an electronic message conveying the electronic transaction. The transaction location tool may include a user interface that facilitates real-time location of an electronic transaction within the transaction processing system using the unique search identifier.

A system and method for end-to-end transaction management, for example, for a structured finance market. The system and method digitizes and deconstructs complex interconnected transaction documents. The system creates transparency around the complexities of the transactions, generating significant efficiencies for existing market participants and enabling access to previously hidden and / or inaccessible data. In some embodiments, the platform supports a selected ecosystem (compared to specific use-cases within a market vertical) with a seamless integration of frameworks and schemas for the organization and structure of provisions, analytical tools extracting the required data, and the creation of metrics to informatively assess and calibrate the market. The system advantageously creates a digital language providing a tool, which will further enable the digitization of the finance ecosystem.

The present invention provides an electronic transaction management system for providing a tip that enables the users who give tips and the tip recipient to send and receive tips, even when located away from each other; that provides tip distribution to a user randomly selected from all users; that can be expected to improve the interest due to the expectations for the distribution, and as a result, enhance the motivation for users to give tips; that enables increasing the strong sense of connection between the users and the tip recipients; and that enables elevating the mere act of giving tips to a kind of event. An object of the present invention is to provide an electronic transaction management system for providing a tip, the system comprising: a management server, the management server and a user device, wherein the management server comprises a distribution means for distributing an arbitrary percentage, an arbitrary amount, or other forms of an arbitrary tip transferred from the user device, to a recipient of distribution for the tip, a user selected randomly by the management server from all users giving a tip, and distributing the remaining percentage, the remaining amount, or other forms to the tip recipient or the like.

A computer-implemented method for performing facial biometric authentication is disclosed. The method comprises the following steps: storing a verification image of a user; receiving a vector representation of an original image of the user, where the original image is processed and a machine learning model is applied to the processed original image to determine the vector representation of features of the processed original image; determining a distance between the vector representation of the original image and a vector representation of the verification image, wherein the vector representation of the verification image is determined by a machine learning model of the same type applied to the processed original image; and outputting approval or rejection of biometric authentication based on the determined distance.

A system and method for categorizing electronic transactions are described. The system may execute instructions including receiving a first and a second transaction dataset, building a first and a second custom model by training the NLP model using the first and the second transaction dataset respectively, updating the first and the second custom model using a first part of a third transaction dataset to generate a first and a second tuned model, testing the first and the second tuned model using a second part of the third transaction dataset to obtain a first model performance score of the first tuned model and a second model performance score of the second tuned model, building a categorization model based on a determination that the first model performance score is greater than the second model performance score, and categorizing a latest transaction data to a corresponding category using the categorization model.

A system and method for card control includes a card control computing system configured to enforce a card control rule based upon transactions made with a payment card. The card control computing system includes a memory unit configured to store information associated with a card control dashboard, and a processing unit configured to identify that an attempted electronic transaction involving a merchant and a payment card of a user is an out-of-pattern transaction. The processing unit is further configured to generate a proposed card control rule responsive to identifying the out-of-pattern transaction and transmit the card control rule to a card control dashboard. The processing unit is further configured to receive a user input via the card control dashboard to activate or deactivate the proposed card control rule. Activating the card control rule restricts subsequent electronic transactions that violate the activated card control rule.

The disclosure herein describes handling tokenization requests associated with electronic transactions at a payment network at a throttled processing rate. Tokenization requests are received by tokenization stream brokers from request sources. The tokenization requests include primary account numbers (PANs) to be tokenized. The tokenization requests are then consumed from the tokenization stream brokers, at a request storage rate, for storage in a request data store. Tokenization operations are then performed, at a request processing rate, based on the tokenization requests stored in the request data store. The tokenization operations include providing at least the primary account numbers to be tokenized to issuers associated with the tokenization requests at issuer tokenization rates associated with the issuers, whereby the request processing rate is throttled for compatibility with capabilities of the system and the issuers without unnecessary limitations placed on request sources.

A wireless face-to-face bilateral communication method between at least two users of a service provider, each having a token device, and at least one having a user-defined profile, comprising: between a sending token device and a receiving token device, transmitting unique electronic transaction tokens between a consenting sending party and a consenting or optionally consenting receiving party wherein said transaction tokens may be used for single use, party-approved after-contact, computer-network facilitated access to each other's profile.

An exchange computer system includes: at least one communication interface; a crossing facility configured to perform operations of: retrieving portfolio data encoding asset positions, a current measurement of capital efficiency, and participant-configured transaction portfolio attributes for at least two participants, wherein the participant-configured transaction portfolio attributes comprise a goal of capital efficiency, a transaction cost limit, and portfolio limits for each of the at least two participants; and performing a crossing operation between the portfolios of two of the at least two participants so that the at least two participants can each set and forget the respective transaction portfolio attributes by: based on the portfolio data of the two participants, identifying a network of single-leg transactions; and in response to determining that executing the network of single-leg transactions would not violate the transaction cost limit and the portfolio limits of each participant, executing the network of single-leg transactions.

There are provided systems and methods for streamlined and privacy protected data flows for entity onboarding with online data platforms. An online transaction processor or other service provider may provide computing services and platforms to entities including merchants for electronic transaction processing and other account services. To onboard entities with the transaction processor, the transaction processor may provide a merchant or user-specific experience and recommendations using a conversational AI service and chatbot. An AI engine may be trained to engage with users via chat dialogue, which may interact with users during onboarding and / or account lifecycle events based on the available services and products of the service provider. An intent of the entity may be classified by the AI engine and may be used to generate a recommendation including an action plan or the like of activities or steps for the entity to take.