Resumen de: US20260252553A1
In a blockchain system in which a network with a hierarchical structure is formed by a plurality of nodes, a node belonging to a first group of a first layer different from a lowest layer manages a first ledger including transaction data related to a transaction in the first group and performs ledger locking to not update the first ledger during a lock period after the first ledger is updated. If a second ledger managed by a second group in a second layer lower than the first layer has been updated within the lock period when the lock period ends, the node updates the first ledger to include, in the first ledger, ledger information related to the updated second ledger.
Resumen de: US20260252552A1
0000 A system and a method for an inter-shard transaction between accounts belonging to different shards (working shards) in a blockchain network to which dynamic sharding technique is applied. The system for an inter-shard transaction in a blockchain network, according to one embodiment of the present invention, is included in a first node for managing a first transmission account for performing a first transaction. The first node comprises: a home shard calculation unit calculating, on the basis of address information about a first reception account and total shard number information, home shard information about the first reception account for performing the first transaction; a working shard information request unit for requesting working shard information about the first reception account from a second node having the home shard of the first reception account as a working shard; a working shard information reception unit and a transaction transmission unit.
Resumen de: US20260253070A1
A computer-implemented method of transmitting blockchain transactions to nodes of a blockchain network, wherein a compact transaction is a blockchain transaction comprising i) a CS at least partly written in a high-level (HL) scripting language, wherein the CS is configured to perform an operation equivalent to an expanded script (ES) written in the LL scripting language, and wherein the method comprises: obtaining a set of compact transactions; transmitting one or more of the set of compact transactions to at least one other CS-enabled node; converting one or more of the set of compact transactions to one or more respective expanded transactions, wherein said converting comprises, for a given compact transaction, replacing the CS of that compact transaction with an equivalent ES; and transmitting the one or more expanded transactions to at least one CS-disabled node.
Resumen de: US20260253060A1
A computer-implemented method of transmitting compact transactions, wherein a compact transaction is a blockchain transaction comprising a compact script at least partly written in an intermediate-level scripting language, comprising: generating a first compact transaction comprising a first CS, wherein the first CS comprises a first library identifier of a first high-level reference library, the first HL reference library comprising a first set of HL functions written in a HL scripting language, each HL function being configured to perform an operation equivalent to an operation performed by a respective set of one or more LL functions, a respective function identifier of one or more of the first set of HL functions, and at least one IL function configured to call the one or more HL functions during script execution; and transmitting the first compact transaction to at least one CS-enabled node, wherein each CS-enabled node is configured to validate compact transactions.
Resumen de: US20260253066A1
A computer implemented method for processing transactions associated with a blockchain is provided. The method can be implemented by one or more processors associated with a client. The client is communicatively coupled to at least one payment processor implementing a payment service for the client. The method includes sending a first request to a payment processor among the at least one payment processors, the request pertaining to one or more fee quotes for mining a transaction, the transaction relating to a digital asset payment from a customer, and, responsive to receipt of one or more fee quotes from the payment processor as one or more received fee quotes, selecting a fee quote among the one or more received fee quotes.
Resumen de: US20260253090A1
A digitally secured collectible asset representing a primary asset can be created by encasing and tagging a representative tangible item to create a collectible asset and tethering it to a cryptographically secured digital representation of the primary asset, the value or rights associated therewith being recorded on a shared, immutable digital ledger such as a decentralized blockchain-based network or platform. The encased tangible item can be a traditional trading card, miniature artwork, stock certificate, diploma, membership card, or larger pieces or other documents similarly encapsulated and tagged. Large or bulky physical items not suitable for encasement can be tagged with a primary security tag and further connected to the collectible asset and its tethered digital asset. For primary assets including intangible assets, memberships, or fractional ownership of assets, the primary asset can be connected to a tangible representation and further connected to the collectible asset and its tethered digital asset.
Resumen de: US20260254809A1
0000 Provided is a system and a method for providing a learning curation service using a learning map-linked open badge that reduce a user's trouble of generally visiting an educational institution or the educational institution's homepage to obtain a certificate, an educational qualification, or the like and submitting it directly to consumers (submitting institutions), by issuing and providing a blockchain-based open badge linked to the user's academic achievement such that the user (learner) is capable of proving his/her qualifications acquired through education, learning, examination, or the like provided by the educational institution (learning institution), thereby reducing the time required for issuance and submission as well as incidental costs while security is guaranteed.
Resumen de: US20260252466A1
0000 Systems and methods for generating and testing on-chain programs are disclosed herein. A system for generating on-chain programs may receive a request to generate on-chain program code for an on-chain program and determine a model required for the program. The system may retrieve functions associated with the model and determine blockchain operations to be added to the program. The system may determine parameters for blockchain operations and generate on-chain program code. A system for testing on-chain programs may install an on-chain program onto a test blockchain and retrieve functions associated with a model generated for testing. The system may generate blockchain operations for testing and input each operation into a cryptography-based storage application. The system may cause execution of the operations and receive results. Based on determining that a number of failed results exceed a threshold, the system may generate a notification.
Resumen de: US20260254667A1
0000 A method includes: generating a set of output entries based on a set of initial entries; identifying a matching pair of entries in the set of output entries; generating a first forward-propagated entry in a second set of entries based on the first matching pair of entries; identifying a second matching pair of entries in the second set of entries; identifying a group of initial entries associated with the second matching pair of entries; extracting a subset of bits, in a set of target bits, from each initial entry in the group of initial entries; generating a second forward-propagated entry—representing a proof fragment—in a third set of entries in a third table by encrypting the set of target bits; generating a plot file representing a set of tables including the third table; and storing the plot file.
Resumen de: US20260253139A1
In certain aspects, a computer-implemented method includes monitoring data entries written on a database. The computer-implemented method includes recording at least part of the data entries written on the database to a blockchain.
Resumen de: US20260253082A1
A computer-implemented method of transferring a token using a blockchain, comprising: generating a transaction comprising an input that references an output of a issuance transaction or an output of a transaction that forms part of a chain of one or more transactions linking to the issuance transaction, an output locked to a public key of the receiving party and an output locked to a public key of the sending party; sending the transaction to a receiving party; receiving a funded transaction from the receiving party; verifying that the output locked to the public key of the sending party locks a predetermined amount of digital asset, and if so, generating a signed transaction by including a signature in the input of the funded transaction, wherein the signature corresponds to the first public key of the sending party; and sending the signed transaction to a blockchain network.
Resumen de: US20260253073A1
0000 The disclosed technology includes a blockchain-based technique for generating a non-fungible digital asset based on a code that represents a travel service product. The code is stored in a travel service database in association with a user information and the non-fungible digital asset is also associated with the user information. The code stored in the travel service database coexists with the linked non-fungible digital asset stored at a blockchain. The technique further includes successively performing transactions with the non-fungible digital asset through additional users to a final user, detecting expiration for utilizing the underlying travel service product and, in response, fixing the association of the code to the final user and preventing further transactions with the non-fungible digital asset.
Resumen de: US20260253057A1
Disclosed herein are systems and methods for crypto transfer between a crypto wallet and a pool wallet. The system comprising a user interface for interacting with an application and a processing unit, which executes the application, which is configured to receive, from an individual beneficiary of the application, a transaction request, wherein the individual beneficiary is assigned a user ID. The application obtains/retrieves a transaction ID from a Blockchain, associates the transaction ID with the user ID and stores the associated transaction ID and user ID. Upon receiving into the pool wallet, a crypto transfer with its associated transaction ID from the Blockchain, the application matches the transaction ID of the crypto transfer with the stored transaction ID. The application labels the transferred crypto in the pool wallet with the associated user ID upon confirming a match between the stored transaction ID and the transaction ID of the crypto transfer.
Resumen de: US20260254664A1
0000 An information processing method includes: obtaining first data; applying noise to second data that is based on the first data; and managing, on a public blockchain, third data that is based on the second data to which the noise has been applied, and managing the second data on a private blockchain.
Resumen de: DE102025000679A1
Technisches Gebiet:Die Erfindung betrifft ein System und Verfahren zur dynamischen Vergabe von Parkplätzen, das maschinelles Lernen, Blockchain-Technologie, Geolokalisierung und Predictive Analytics integriert, um die Parklogistik in städtischen Umgebungen zu optimieren.Technisches Problem: Bestehende Parklösungen sind durch mangelnde Echtzeitkoordination, statische Verfügbarkeitsanzeigen und ineffiziente Ressourcennutzung begrenzt. Zudem berücksichtigen sie keine Faktoren wie Fahrzeugkompatibilität, Berechtigungskriterien oder adaptive Algorithmen.Kern der Lösung:Das System und Verfahren umfasst folgende wesentliche Elemente:• Einen dynamischen Matching-Algorithmus, der Fahrzeuggröße, Parkplatztyp (z. B. Elektrofahrzeuge, Behindertenparkplätze) und Echtzeit-Standortdaten analysiert.• Einen bidirektionalen Preismechanismus, bei dem entweder der suchende oder der geparkte Fahrer den Preis festlegt.• Maschinelles Lernen zur Priorisierung erfolgreicher Zuordnungen basierend auf historischen Daten.• BlockchainTechnologie zur sicheren Abwicklung von Transaktionen und Gewährleistung von Datenintegrität.• Predictive Analytics, um Parkverfügbarkeit anhand von Zeit, Ort und Veranstaltungsdaten vorherzusagen.Hauptanwendungsgebiet(e):Das System dient zur Reduzierung von Verkehrsstaus durch effiziente Parkplatzvergabe, zur Steigerung der Nutzerzufriedenheit durch flexible Preisgestaltung und zur Sicherung von Transaktionen in Echtzeit. Es ist insbesondere für stä
Resumen de: US20260252376A1
0000 The present disclosure relates to a blockchain system including a transaction classifying network, wherein the blockchain system includes a blockchain network including a first blockchain and a second blockchain and a transaction classifying network which classifies a plurality of transaction proposals transmitted from clients to transmit the transaction proposals to the blockchain network.
Resumen de: US20260254652A1
A blockchain enhanced layered and integrated cyber security method and system. In one embodiment, a method of cybersecurity monitoring, the steps comprising: performing a security analysis of an information system, wherein the security analysis comprises a plurality of security criteria; (b) creating a plurality of security hash values associated with each of the plurality of security criteria; (c) generating a baseline master hash comprising an amalgamation of the plurality of security hash values; (d) submitting the baseline master hash to a blockchain ledger; (e) revalidating the information system after a revalidation epoch; and (f) repeating step (e) over successive revalidation epochs to monitor the information system for hash mismatches.
Resumen de: US20260253071A1
A control method performed by a device includes: obtaining a first computation result from a first smart contract stored on a first blockchain by inputting first data to the first smart contract; generating second data by adding a random value smaller than a norm of the first data to the first data; obtaining a second computation result from the first smart contract by inputting the second data to the first smart contract; and storing the first data and the second data as first inspection data, based on a comparison result of comparing the first computation result and the second computation result.
Resumen de: WO2026178261A1
Systems and methods for implementing a C3N smart contract enabled blockchain platform. The platform employs a Proof-of-Reputation (PoR) consensus mechanism in which validator nodes are selected based on a C3N Score — a multi-dimensional trust score comprising a weighted composite of eight sub-scores drawn from performance, opinion, and reputation categories — stored on a distributed ledger not controllable by any single entity. The platform reduces the time and cost of building custom cryptocurrency blockchains: a business inputs its rules using the C3N Integrated Development Environment (IDE) or Command Line Interface (CLI), and the platform generates concrete smart contract implementations of pre-fabricated blockchain interfaces automatically. Network routing is conditioned on trust scores, such that only nodes meeting a minimum score threshold participate in routing and consensus.
Resumen de: US20260253076A1
0000 A system has a public verification layer including public blockchain transaction machines in network communication. A private transaction layer includes transaction machines in network communication, configured to utilize zero-knowledge proofs (ZKPs) to record private transactions as encrypted data, inaccessible to entities not involved in the transactions. At least one transaction machine groups private transactions into a verification job. The verification job is processed by the public blockchain transaction machines to generate validity proofs-of-state for each private transaction. Final state changes are returned to the transaction machines for recordation.
Resumen de: US20260254642A1
0000 A blockchain-based system and method for registering and authenticating ownership rights in digital images or physical objects represented thereby, robust to bit-level variations from recompression, recapture, or format conversion while maintaining cryptographic security. The registration process generates an obfuscated digest (optical signature) from the original image, sufficient for verification at a cryptographic collision-resistance level equivalent to conventional hashing, without exposing the non-obfuscated Reference object on the public blockchain.
Resumen de: US20260253017A1
0000 The present disclosure is directed to an information processing apparatus reads, from a product, a data carrier for accessing Digital Product Passport (DPP) information of the product that is managed on a blockchain; acquires, by using information in the read data carrier, first DPP information that is DPP information of a main unit of the product that is managed on the blockchain, and second DPP information that is DPP information of one or more parts installed in the product, the second DPP information being managed on the blockchain in association with the first DPP information; and outputs a specific carbon footprint based on a carbon footprint of the product included in the acquired first DPP information and a carbon footprint of each of the one or more parts included in the acquired second DPP information.
Resumen de: US20260253058A1
The present invention efficiently assists a user's acquisition of a token, and the like. Disclosed is an information processing device that, on the basis of various inputs from a user, automatically generates base information of a token that can be distributed on a network related to a blockchain composed of a plurality of computers.
Resumen de: WO2026177257A1
One embodiment of the present invention provides a system for privacy-preserving federated learning of a large language model, the system comprising: a device layer that anonymizes user data by applying a local differential privacy technique that adds noise based on multi-feature encoding to the user data, and provides the anonymized data; an edge layer that trains an LLM local model by using the anonymized data and transmits an encrypted weight of the trained LLM local model to a blockchain system; and a cloud layer that performs toxicity verification on the encrypted weight of the LLM local model and generates an LLM global model by aggregating, on a blockchain, the weights of LLM local models that have passed the toxicity verification.
Nº publicación: US20260252955A1 27/08/2026
Solicitante:
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INST [KR]
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Resumen de: US20260252955A1
A method and apparatus for federated learning are provided. The federated learning method includes uploading information of a first initial global artificial intelligence (AI) model to a blockchain network for download by a plurality of local clients, downloading, via the blockchain network, first local training information of the first initial global AI model generated through local training performed by a first local client of the plurality of local clients, updating the first initial global AI model based on the first local training information to generate a first updated global AI model, and uploading global training information of the first updated global AI model to the blockchain network for download by the first local client.