497 results about "Distributed ledger" patented technology

The present invention relates to a system and method for cross-domain predictive modeling using Bedrock-based foundation models and blockchain-anchored data. The invention integrates large-scale foundation model reasoning with distributed ledger-based data provenance to enable verifiable, secure, and explainable predictive analytics across heterogeneous domains such as finance, healthcare, logistics, and environmental systems. The system comprises a data ingestion unit for receiving and normalizing multi-domain datasets, a blockchain anchoring unit for generating cryptographic hashes and recording data provenance into a distributed ledger, a cross-domain harmonization processor for aligning heterogeneous feature representations into a unified latent space, a foundation model processor configured to execute Bedrock-based predictive inference with adaptive domain contextualization, a verification processor for validating predictions against blockchain-anchored ground truths, and a governance processor for maintaining immutable audit trails of model evolution.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

Systems, methods, and devices for monitoring and controlling communications between autonomous agents are disclosed. The system monitors real-time communications between autonomous agents, intercepting and recording each communication. Communications are translated to a standardized language and processed through communication protocol filters that evaluate compliance with predefined operational policies. The system parses each translated communication to identify policy violations. When violations are detected, the system modifies communications to ensure compliance with operational policies. All communications and modifications are recorded via distributed ledger technology for audit and accountability purposes. This approach enables comprehensive oversight of autonomous agent interactions while maintaining tamper-proof records of all monitoring and control activities.

The invention discloses a clothing supply chain transparent purchasing and collaborative management method and system based on the Internet of Things and a block chain. The method comprises the following steps: monitoring and collecting state data of raw materials in real time through Internet of Things equipment; when the state data meets a preset purchase triggering condition, a purchase demand transaction is automatically generated and broadcasted on the alliance block chain network; a purchase smart contract deployed on the alliance block chain network responds to the purchase demand, screens candidate suppliers, and quantitatively scores the candidate suppliers based on multi-dimensional historical performance data obtained from a distributed account book to automatically determine a target supplier; the purchase smart contract automatically generates a purchase order transaction and performs consensus evidence storage on the alliance block chain network; and continuously tracking order state update on the alliance block chain network, and automatically executing a settlement process when a preset payment condition is satisfied. According to the invention, the problems of opaque information, lagging purchasing decision, low process efficiency and difficulty in multi-party collaboration of the traditional clothing supply chain are solved.

The invention relates to the technical field of computer data processing, and discloses a cross-border e-commerce compliance tax refund method and an intelligent declaration system based on block chain evidence storage, and the method comprises the steps: constructing a reference library containing commodity physical attributes and fair density intervals; order transaction, logistics actual measurement and fund time sequence data are acquired; executing multi-dimensional cross validation based on the reference library, wherein the multi-dimensional cross validation comprises physical space logic verification based on geometric boxing simulation, attribute consistency verification based on density distribution matching and quality and time sequence joint verification; a risk level is determined by integrating results; and generating digital fingerprints for compliance data, writing the digital fingerprints into a distributed account book, and generating a declaration file by using an on-chain index. According to the invention, trade authenticity is verified through physical simulation and multi-dimensional logic, evidence is ensured not to be tampered in combination with a block chain technology, and compliance and auditing efficiency of tax refund declaration are effectively improved.

Various systems and methods are disclosed relating to protecting cross-system exchanges. A data processing system includes one or more processing circuits configured to identify a plurality of data elements and generate a first plurality of cryptographic objects. The one or more processing circuits are further configured to record the first plurality of cryptographic objects on a distributed ledger and generate metadata corresponding to at least one of the plurality of data elements, the metadata including temporal data. The one or more processing circuits are further configured to generate a bi-temporal record including a plurality of links to the plurality of data elements and storing the corresponding metadata. The one or more processing circuits are further configured to provide an interface including a query element corresponding to the bi-temporal record.

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.

Systems and methods that maintain a progressive award, cause, in a distributed ledger, an association of a token with the maintained progressive award, and if a progressive award increment event occurs, cause, in the distributed ledger, a modification associated with the token.

This disclosure provides techniques to utilize decentralized identifiers (DIDs) and verifiable credentials for secure, privacy-preserving transactions. In one aspect, a method is provided that includes: receiving user information; determining a DID based on the information; providing the DID to a user device; verifying the user's identity by validating the DID and associated verifiable credentials; and performing a transaction based on the verified DID. Other aspects are provided, such as generating a public-private key pair for the user, associating the DID with the public key, and / or creating a DID document stored on a distributed ledger accessible to authorized entities. Further aspects include processing transactions through smart contracts on a blockchain network, which may involve converting central bank digital currency to fiat currency while maintaining user privacy, applying transaction limits based on verified identity attributes, and providing zero-knowledge proofs to auditors to verify compliance without accessing underlying transaction details.

A trusted node in a distributed ledger audit system may identify first audit event data for a first audit event from a first computing resource on a messaging bus; generate a first hash of a subset of the first audit event data; write the first audit event data to a storage location; create a first block comprising a subset of the first audit event data and a header comprising the first hash; and write the first block to a scoped distributed ledger. A verification node may generate a third hash from the first hash and a second hash for a second block for a second audit event; create a third block comprising the third hash in a header of the third block and the subset of first audit event data and the subset of second audit even data; and write the second block to an audit distributed ledger.

The present disclosure is related to blockchain technologies, tokenization and non-fungible token (NFT) technologies, identity verification, account verification, information security (InfoSec), and fraud prevention technologies, and in particular, to technologies for creating NFT identities (IDs) for individuals and / or organizations. An NFT ID service interacts with users to obtain ID information such as ID documents, biographical data, biometric data, and / or any other suitable data. The NFT ID service includes an NFT ID engine that generates an NFT-based form of digitized and / or tokenized ID, using blockchain technology, smart contracts, distributed ledgers, digital wallets, and the ID information. Other embodiments may be described and / or claimed.

Systems and methods are disclosed for security through multi-party computation (MPC). In some examples, a system generates, at a first device and using a first private key share (of a plurality of private key shares). The plurality of private key shares each correspond to different devices. The system receives, from one or more additional devices, one or more additional partial signatures that are generated using one or more additional private key shares (of the plurality of private key shares). The system identifies that a total amount of partial signatures associated with the transaction is meets or exceeds a minimum threshold amount of partial signatures. The system aggregates the first partial signature and the one or more additional partial signatures to generate a signature, and facilitates processing of a transaction using the signature and a distributed ledger.

At least one vehicle function scheme is individually assigned to at least one vehicle. A vehicle function scheme is digitally recorded and is minted as a non-fungible token (NFT) in a predetermined number in a distributed ledger technology system, which assigns at most one vehicle to an NFT in each case. At least one NFT is selected and purchased for a vehicle. The vehicle function scheme assigned to the selected and purchased NFT is used.

A method executed by a computing device includes determining whether baseline content associated with a longevity-contingent instrument is qualified for a proposed contingency-action token (CAT) for an object distributed ledger. When qualified, the method further includes obtaining approval with regards to availability status of the longevity-contingent instrument for a life insurance investment utilization. The method further includes establishing CAT content to include the baseline content, the availability status, and further CAT content to produce the CAT. The method further includes using a securely passing process to generate a new block affiliated with the CAT via a blockchain of the object distributed ledger, where the new block includes the CAT content.

Methods that provide a blockchain network for entities to securely collaborate with respect to rate card data records and data transactions triggering various events. In these methods, a computing device obtains, from a first blockchain node of an enterprise, via a blockchain channel, a rate card data record that includes at least one unique identifier, primary information about the rate card data record, and a plurality of data values that change over time. The rate card data record is in a form of a distributed ledger blockchain. The computing device generates, using a set of rules in a smart contract, a data transaction based on one or more values in the rate card data record. The data transaction is in the form of the distributed ledger blockchain. The computing device further provides, to a second blockchain node, via the blockchain channel, the data transaction that triggers an executable event.

Apparatuses, systems, and techniques to enable verification of content, such as media content. Hashes of content can be digitally signed and stored to a distributed ledger, such that a source of content can be verified and any modification determined.

A computer-implemented system and method for aligning employee incentives with project performance using smart contracts and distributed ledger technology. Employees can stake funds into company projects and receive payouts based on project KPIs. A network of connected computing devices and sensors to monitor project data, which is analyzed to calculate payouts according to the smart contract terms. The system automates the compensation process, provides AI-powered investment tools, real-time dashboards, and enables decentralized governance. By creating direct employee ownership in projects and utilizing transparent, immutable smart contracts, the invention solves the misalignment issues of traditional compensation models. The unique staking mechanism and comprehensive feature set drives employee engagement and accountability, fostering a true sense of ownership in their work.

A non-transitory, processor-readable medium storing instructions that executed by a processor, cause the processor to generate a new zero-knowledge proof (ZKP) for a transaction based on a correctness of a prior ZKP and a prior transaction. The processor is caused to generate a ZKP using data for a first transaction and embed that data into data of a second transaction, to generate a ZKP for the second transaction. The generated ZKPs can be verified by a smart contract on a distributed ledger network that executes the second transaction based on the verification of the ZKP of the second transaction, which in turn is verified if the ZKP of the first transaction is verified.

A computing system may generate, manage, and verify dynamic digital credentials recorded on a distributed ledger. The system may receive credential data from an issuer, generate a cryptographic hash representing the credential content, and record the hash on a blockchain along with issuer identifiers and version references. When a credential is updated, the system may calculate and store differential data between versions to improve storage efficiency and maintain traceability. Each version may reference the previous hash, forming an immutable version chain. Recipients may store credentials in digital wallets and share verifiable credentials containing issuer signatures and refresh links for automatic updates. Verifiers may authenticate credentials by validating issuer signatures and comparing credential hashes with corresponding blockchain records, ensuring authenticity, integrity, and version transparency across decentralized systems.

The invention presents a blockchain-based system for the tokenization, certification, and management of real-world assets, digital assets, and verified identities. It integrates Web3 domain-subdomain tokens, distributed ledger technology (DLT), decentralized identifiers (DIDs), and AI-driven verification processes to provide secure and transparent transactions. The system employs KYC subdomain tokens linked to users' blockchain wallets for identity verification, enabling compliance with regulatory standards. Human-readable Web3 tokens enhance asset traceability. AI and manual verification ensure efficient and accurate processing. Scalable and flexible, the system supports diverse asset types and includes time-based voiding mechanisms to address incomplete transactions, ensuring effective lifecycle management.

One of the drawbacks of Distributed Ledger Technology (DLT) is the conflation of authorization and authentication of transactions on a distributed ledger. The present invention includes a highly adaptable method and system for separating, but cryptographically linking, the authentication and authorization process of signing a transaction of a distributed ledger. The present invention facilitates group authority, common in corporate structures, for proposed transactions, voting models, and even workflow decision making. The present invention supports implementation of a variety of known authorization models into a decentralized network.

Systems, methods, and computer-readable media for modeling data using cyber resilience identities and associated metadata are disclosed. A system can include one or more processing circuits configured to generate at least one cyber resilience identity including at least a link or association with metadata and one or more actions or events performed by an entity or a third-party corresponding with one or more plan parameters, product parameters, or service parameters (PPPPSP) of a protection provider. The one or more processors can associate the at least one cyber resilience identity within a control structure, the control structure being compatible with at least one data structure. The one or more processors can transmit the at least one cyber resilience identity to at least one of (i) a distributed ledger, (ii) a data source, or (iii) an interface.

The illustrative embodiments provide a system, method, device, and platform for managing carbon credits. Information corresponding to carbon credits with carbon emissions are received. A smart contract is executed on a data platform of a blockchain network based at least on the received information. The smart contract specifies one or more parameters for transactions corresponding to the carbon credits. One or more tokens for performing transactions in accordance with the smart contract are generated utilizing the data platform. Transaction for the one or more tokens are performed in accordance with the smart contract. The transactions include at least verifying the authenticity of the one or more tokens. Records of the transactions for the tokens a stored in a distributed ledger associated with the blockchain network.

Systems and methods disclosed herein automatically authorize, audit, and manage usage of protected digital content via agentic artificial intelligence (AI) models. A data access / usage request is received (e.g., from a graphical user interface) that is associated with digital assets licensed from third parties. The system uses a first AI agent set to identify the digital content and retrieve corresponding access policies from a distributed database. The system uses a second AI agent set (same as or different from the first AI agent set) to evaluate the request against the retrieved policy to generate a permission set and / or settlement instructions. The system uses a third AI agent set (same as or different from the first and / or second AI agent sets) to embed digital watermarks and / or cryptographic signatures into the accessed content, and to record an audit trail of access, authorization, and / or settlement events in a distributed ledger or database.

Systems and methods for multi-factor authentication are disclosed. In some examples, a system can receive a request for a transfer of an amount of a digital asset from a transferor to a transferee. The system can receive a first input through a first interactive user interface (UI) (that identifies at least a portion of the amount) to verify that at least the portion of the amount is correct, as a first factor of authentication for the transfer. The system can receive a second input through a second interactive UI (that identifies a first subset of a transferee address), and can verify that the second input matches the second subset of the transferee address, as a second factor of authentication for the transfer. The system can initiate the transfer of the amount from the transferor to the transferee in response to multi-factor authentication via the two factors of authentication.

Decentralized information-security (IS) mitigates against cross-channel threats vectors with a photonic quantum computing machine (PQCM). Threat signals are communicated to consortium members. Live model libraries regarding the threats, characteristics, metadata, model solutions, etc. are in distributed ledgers. PQCM extracts metadata and analyzes permutations to identify configuration(s) with the highest propensity to mitigate the threat. PQCM determines optimized set(s) of the threat-vector mitigation models for the configuration(s). PQCM auto-generates, dynamically by AI / ML based on the optimized set, IS rules for the configuration. Updated threats, threat characteristics, model configurations, IS rules, etc. for the cross-channel threat can be stored in distributed ledger blockchains, shared with consortium members, and deployed to prevent the threat. Nodal consensus algorithms may be used to reach agreement amongst consortium members to independently confirm threat signal validity, best model combinations, highest propensity scores, and proposed dynamically generated IS rules to address the threat.