68 results about "Oracle machine" patented technology

The invention discloses a power data management method based on a block chain, and relates to the field of block chains, and the method comprises the steps: initiating a data request; randomly selecting a preset number of oracle machine nodes; segmenting a private key of the request task into a plurality of parts by adopting a threshold key segmentation method; acquiring requested power data from an external data source; verifying the obtained power data; a Byzantine fault-tolerant consensus mechanism is adopted to achieve a consensus for the power data; signing the verified power data through a threshold signature method; the oracle machine management contract performs aggregation verification on the received signature data; the oracle machine management contract returns the power data passing the aggregation verification to the intelligent contract of the data requester; the intelligent contract of the data requester obtains the returned power data through an event monitoring mechanism, and executes corresponding business logic and state updating according to the power data; aiming at the low fault-tolerant capability of an oracle machine in power data management in the prior art, the fault-tolerant capability of the system is improved.

The invention discloses an application method and device of a battery model management iteration system based on federated learning and block chain verification, and relates to the field of block chain energy storage management, and the method comprises the steps: deploying an intelligent contract on a block chain to publish a federated learning task, and initializing a global model; each participant uses a private data local training model, encrypts and uploads the private data local training model to a central coordination server for security aggregation; submitting the aggregated global model to a block chain verification layer, and automatically evaluating the performance and recording a result by the smart contract; the verified model is deployed to an actual scene for battery state prediction; collecting actual operation data of the battery through an oracle machine feedback network, and feeding back the data to a chain; and the intelligent contract incentive engine automatically re-evaluates the performance of the model according to feedback data, distributes rewards, and iteratively optimizes a loop. According to the method, the problem that data islands exist in key parameter prediction models such as the state of health and the remaining service life of the battery is solved, and the credibility and the sustainable evolution ability of the prediction models are enhanced.

The invention relates to a block chain on-chain and off-chain linkage query method and system based on a decentralized oracle machine, and the method comprises the steps: obtaining to-be-stored multi-modal data, storing the multi-modal data in an off-chain manner, obtaining a data abstract through abstract calculation, and obtaining a label and a value of the label through information labeling; constructing a time index; storing the time index, the label and the value of the label in a storage contract deployed on a chain; the storage under the chain synchronizes the data abstract and the storage address to an oracle contract deployed on the chain, and the oracle contract is subscribed by a decentralized oracle network; the storage contract responds to the user query and is sent to the oracle contract, and the nodes in the decentralized oracle network generate integrity proof based on the subscribed user query; and the decentralized oracle machine network aggregates the digital signatures of the nodes to obtain multiple signatures reaching a threshold value, and sends the original data, the multiple signatures and the integrity proof corresponding to the user query to the user to realize the block chain up-chain and down-chain linkage query.

A system and method for providing a randomness function to a smart contact on a decentralized network. An oracle receives a request for at least one random value to be supplied to a smart contract executing on a decentralized network, the request including a seed. The oracle generates the at least one random value based on the seed, and a secret key associated with the oracle, wherein the oracle is identified on the decentralized network by a public key associated with the secret key. The oracle generates a cryptographic proof based on the at least one random value and the public key and sends the at least one random value and the cryptographic proof to the decentralized network, whereby the proof, and thus the randomness of the at least one random value, can be verified.

The invention is suitable for the technical field of data processing, and particularly relates to a financial data processing and classification method, system and equipment based on verifiable computing, and the method comprises the steps: obtaining on-chain transaction data verified by a block chain consensus node storage and risk-related index data verified by an under-chain oracle machine; the problems that the authenticity of traditional financial data is difficult to verify and the data is split are solved; calling a risk assessment model through an intelligent contract deployed on a block chain, and placing an assessment process in a decentralized block chain network; performing verifiable calculation through an intelligent contract to determine a total performance score and a risk index, and realizing whole-course tracing and verification of a calculation process by utilizing the characteristics of verifiable calculation of a block chain; the total performance score and the risk index are stored in the block chain as non-tampering records, and the risk rating groups are automatically divided according to the fixed rating rule on the chain through the smart contract, so that the authenticity, objectivity, verifiability and fairness of financial data processing are guaranteed.

The present disclosure describes various methods, systems, and storage medium for training a language model to obtain an iterative Nash policy optimized (INPO) language model. The method includes initializing a first language model by a reference language model; for N-th iteration with N starting from 1 to M, generating a plurality of responses using the N-th language model for each prompt in a plurality of prompts, and constructing a preference dataset using a preference oracle based on the plurality of responses for each prompt, wherein the preference dataset comprises a winning response and a losing response; training the N-th language model to obtain a (N+1)-th language model by minimizing a value of an INPO function for all preference dataset for the plurality of prompts, wherein the INPO function comprises an expectation term, a regularization term, and a modification term; and outputting the (M+1)-th language model.

Techniques for fast smart contract processing and validation. A C3N smart contract may be written in a high-level programming language such as Go rather than a domain-specific language (DSL) for smart contracts that is difficult to learn and utilize correctly. The smart contract may support a predefined list of C3N libraries, including APIs for accessing components within a C3N containerized environment. The smart contract may natively support access to oracles and data external to the C3N blockchain. The C3N smart contact may be deployed as source code or executable code for one or more target architectures. Such executable code may be run directly on the target architectures without additional compilation or interpretation. Validator nodes can verify correct execution of C3N smart contracts through unit tests.

A system and method in which a network of offchain oracle nodes are used to provide dynamic information to consuming smart contracts in a decentralized computing environment. The off-chain oracle network and a corresponding protocol reduces the likelihood of damage from rogue oracles acting in concert. Periodically, the oracle nodes, jointly and in concert, run the protocol to sign a report containing observations from many of the oracles in the network. The report is transmitted to a smart contract C running on a DLT. The smart contract C can validate the report, pay each oracle node that contributed an observation to the report and expose the median, or other calculated value, of the reported values to the on-chain consuming smart contracts.

The invention relates to the technical field of internetwork settlement, in particular to an account checking method and device based on a block chain oracle machine and secure multi-party computing, computer equipment, a non-temporary computer readable storage medium and a computer program product. According to the method, a credible, automatic and transparent scene on a chain is provided by adopting a smart contract based on a block chain, the contradiction between account checking data privacy and verifiability among operators is solved through privacy perception by adopting secure multi-party calculation, and meanwhile, reverse operation is performed on an oracle machine; complex calculation in the smart contract is put into an out-of-chain oracle machine operation, and finally a difference vector set of account checking is accurately obtained, and then whether internetwork settlement continues to be carried out is judged. On the premise of guaranteeing the privacy, credibility and safety of the account checking data through cooperation of the three, the defects that the account checking efficiency is low, the account checking process is not supervised, and the account checking result is not subjected to closed-loop feedback are overcome.

This invention provides a real-time intelligent teaching system and method for panoramic driving training, relating to the field of driving training technology. It includes: a task and credential module, an execution and causal reversal module, a reconstruction and snapshot module, a penalty and reputation feedback module, and an audit and compliance module. The system generates oracle credentials bound to an initial success probability estimate through an oracle network; it uses a verifiable delay function to set a time window for completing the signature, enabling locking, unlocking, or rollback of the execution witness; it supports concurrent and symmetric scheduling of mirrored tasks; it calculates staking penalties and updates reputation based on the initial success probability using a convex function mechanism; and finally, it writes all process data into an immutable audit chain and generates zero-knowledge proof compliance credentials for verification by regulatory agencies.

A method may include: receiving, by a smart contract, a request for a random number and a randomness seed from a user; deploying the request as a transaction that is written on a first block in the decentralized ledger; generating, by an oracle, a plurality of pseudorandom quantum circuits using the randomness seed; providing the plurality of pseudorandom quantum circuits to a quantum randomness source, wherein the quantum randomness source executes the quantum circuits and returns a sequence of random bits to the oracle; writing the sequence of random bits to a new block in the decentralized ledger; hashing the sequence of random bits and a block hash for the new block; and returning the hash of the sequence of random bits and the block hash to the user computer program, wherein the user consumes hash of the sequence of random bits and the block hash.

The invention relates to the technical field of tax data processing, in particular to a blockchain-based tax audit management system, which comprises a semantic business activity acquisition module for capturing business data from an operating system of a factoring business participant, converting the business data into a semantic unit and storing the semantic unit in a blockchain; the dynamic tax rule evolution module optimizes a tax payment obligation identification model through a federated learning framework; the tax payment event association module is integrated with an oracle machine network to construct a tax payment event atlas; the cash flow tracing and sharing module adopts an ant colony optimization algorithm to generate a cash flow incidence matrix; the auditing deduction and feedback module generates a calibration signal through simulation deduction and feeds the calibration signal back to the rule evolution module. All the modules form a closed-loop system through a data flow and a feedback mechanism, dynamic association and automatic matching of multi-subject sub-link tax payment obligations and cash flow paths are achieved, and the tax auditing efficiency is improved.

The application relates to a multi-blockchain-based trusted hierarchical V2X data processing system, which comprises a vehicle layer, an RSU layer, a service layer and a cloud layer. The system proposes to divide the RSU network based on the RSU topological structure to reduce the data storage pressure; the system proposes a blockchain oracle mechanism in the Internet of Vehicles scene, through vehicle verification, node verification and cloud verification, all members in the system are organically involved in the data security protection process of the system, and the data security is ensured; the system proposes to use a particle swarm algorithm to optimize various parameters of the oracle, the optimization process is more scientific, and the effect is better than that of the experience-determined parameters.

The application relates to the technical field of blockchains, and provides a pension guarantee data auditing method and device based on a blockchain, equipment and a medium, which are applied to a blockchain system; the method comprises the following steps: receiving historical pension guarantee data sent by each access node based on an auditing equipment node, and downloading the historical pension guarantee data to the auditing equipment; receiving an evaluation score sent by the auditing equipment in a manner of an oracle; the evaluation score is obtained based on an organization portrait and a predefined algorithm by extracting behavior characteristic data from the historical pension guarantee data and then establishing the organization portrait; every preset period, it is judged whether the evaluation score meets preset requirements; if yes, an auditing process is started, so that the auditing equipment audits the historical pension guarantee data based on geographic information according to predefined criteria; in this way, the extensible oracle technology is used to reduce human intervention, data transmission is carried out based on the blockchain, data tampering is prevented, the data is guaranteed to be real and reliable, and the accuracy of the auditing is improved.

The invention discloses an intelligent contract enhanced data aggregation method based on large-scale language model and block chain cooperation, and relates to a block chain technology, large-scale language model application and data aggregation. Comprising the following steps: step 1, constructing a universal collaborative framework C-LLM which adopts a four-layer architecture of a user contract layer, an oracle contract layer, an oracle network layer and an LLMs layer, and performing secure data circulation between a block chain and the LLMs by utilizing hierarchical interaction; and step 2, in combination with a Sension-BERT semantic similarity analysis and truth discovery method, defining a semantic enhanced data aggregation method, and processing inconsistency of LLM generated texts and malicious node attacks.

The invention relates to the technical field of information security, and discloses a multi-modal biological recognition access verification method and system and a storage medium, and the method comprises the steps: collecting multi-modal biological information through terminal equipment, and carrying out the quality evaluation of each type of modal information, and obtaining a corresponding quality score; based on the quality score, the terminal equipment determines a target oracle node type, constructs a differentiated verification request, sends the differentiated verification request to a corresponding oracle node, and forwards the differentiated verification request to a back-end service system; and the back-end service system constructs the feature matching result, the quality score and the routing information into a context feature vector, inputs the context feature vector into a fusion decision model to generate a final verification conclusion, and finally executes authorization operation according to the conclusion. According to the invention, the verification accuracy and the operation efficiency of the system in a complex environment are effectively improved through the fusion decision of the adaptive routing decision and the context awareness, and the safety and the traceability of the whole link are enhanced at the same time.

A system for resolving prediction market outcomes using secure hardware and trust-based scorer selection. The system scores each resolver based on their track record of accuracy, governance participation, and integrity alignment rather than token holdings. Resolution computations execute inside a tamper-resistant hardware enclave that prevents manipulation by platform operators or external attackers. Upon resolution, the system produces a sealed Provenance Token containing six cryptographic fields that bind the decision to its inputs, scoring model, enclave identity, and a non-replayable counter value, enabling anyone to independently verify resolution integrity. Anomalous resolver submissions are detected and quarantined before consensus using dual machine-learning algorithms running inside the enclave. The system generates regulatory compliance reports within the secure hardware and delivers results through authenticated API endpoints. Settlement automatically distributes payouts to holders of winning outcome shares.

The invention provides a distributed new energy asset chaining method and system based on error control, and belongs to the field of block chain technology and asset digitization. According to the method, operation data under a chain are obtained, reported through a plurality of independent oracle machine nodes and aggregated on the chain to form a consensus state, and then the consensus state is verified according to error tolerance parameters. If the verification is passed, updating a corresponding real world asset token state; and if the verification is not passed, the token is placed in a function-limited risk state, and the chain interaction of the token is limited. According to the method, the data error is converted into a manageable state on a chain instead of a system exception, so that the problem that the availability of the system is reduced due to the data error in the prior art is solved, and the robustness of the system is improved.

The present invention discloses an off-chain data acquisition system based on an oracle cluster, which relates to the technical field of off-chain data acquisition, including a user contract, an oracle contract, a database and an oracle cluster; the user initiates a request through the user contract, and the oracle contract encapsulates the request parameters as a chain code event and sends it to the oracle cluster; the oracle cluster includes at least one centralized oracle node, which is responsible for monitoring the chain code event and obtaining the processing right of the event by seizing the event lock. The node that obtains the processing right obtains the data source parameter by parsing the chain code event, initiates a data request to the data source and parses the response result, and finally calls back the user contract through the oracle contract to write the data back to the chain; all nodes in the cluster share a database, and the database implements event locks based on data tables, and the nodes in the cluster collaborate through event locks; the present invention can improve the efficiency of data acquisition, reduce the complexity of design, and ensure the high availability of services.

The invention relates to a decentralized remote attestation method for verifying the authenticity of an Attester peer (20) within a peer network sharing a ledger (50), involving a Verifier peer (30) and an Oracle device (40) comprising a secure enclave and a random number generator. The Attester (30) publishes a public key in the ledger (50). The Oracle (40) generates a unique random number and an encryption key, then encrypts the random number and sends it via a secure channel to the Verifier. The Oracle (40) publishes the encrypted random number in the ledger (50). The Verifier (30) generates a challenge using the random number and the public key and publishes the challenge in the ledger. The Attester (20) solves the challenge using the private key and publishes a proof in the ledger (50). After the proof is published in the ledger (50), the Oracle (40) publishes the encryption key. Figure for the abridged version: [Fig. 1]

The invention designs an AI agent cooperative operation method and a distributed network system thereof, and the method comprises the steps: obtaining parameter data of a corresponding environment state based on a business scene, and writing the environment state into a block chain system through an oracle machine; a reinforcement learning agent independently runs on each computing node of the block chain system, and the decision strategy learning and updating process of the agent is used as the workload proof calculation of the block chain; creating a new block after the workload proof calculation is completed, calculating a hash value of the new block, and connecting the new block with the previous block through the hash value to form a chain structure; and synchronizing the new block to other computing nodes by adopting a consensus mechanism based on reinforcement learning rewards, and determining a final consistent block chain among distributed nodes. Compared with the prior art, deep fusion of the block chain and artificial intelligence is realized, and the training and reasoning efficiency, the operation effectiveness and the target achievement rate are remarkably improved by embedding the calculation task of the AI agent into the consensus process of the block chain.

The application discloses a kind of privacy computing arbitration settlement methods, systems and devices based on oracle, method includes: deploying privacy computing task smart contract on blockchain network, the smart contract defines task logic, verification rule and arbitration rule, the arbitration rule includes data normalization processing logic and statistical anomaly identification logic;Oracle network receives the key meta-information sent by participant node, obtains verification result by signing and format verification to the key meta-information;Through byzantine fault tolerance consensus mechanism, the verification result is confirmed off-chain aggregation;If confirmed, generate comprehensive contribution score according to the data volume and gradient norm of participant node, and based on statistical anomaly identification logic, mark abnormal node, generate evaluation report and submit to smart contract;The smart contract receives evaluation report and executes automatic settlement.The privacy computing arbitration settlement method based on oracle of the application has the functions of off-chain trusted verification and automatic arbitration.

The invention discloses a bidding and tendering data processing method and device based on a block chain, and relates to the technical field of bidding and tendering. The method comprises the steps of receiving a bidding file and a pre-operation type input by a user, and determining pre-operation time based on the pre-operation type; extracting the bidding file to obtain business data; signing a smart contract with a block chain platform based on the business data, the pre-operation type and the pre-operation time; and monitoring a triggering condition of the intelligent contract through an Oracle oracle machine, and executing based on the pre-operation type under the condition that the triggering condition is met. Compared with the prior art, by utilizing the automatic execution characteristic of the block chain smart contract, on one hand, the data security is improved, and on the other hand, the operation of the bidding and tendering process is set in advance as the automatic triggering execution of the smart contract, so that the interaction process between the client and the server is reduced, and the working efficiency is improved; and the problem of system blockage under the condition of high concurrency is avoided.

The invention relates to the field of tourism, and discloses a distributed network-based travel certification method and system, and the method comprises the following steps: S1, processing sensitive data of a user to generate zero-knowledge certification; s2, performing cross comparison on semantic information and objective facts, and updating the credibility risk index through a result; s3, casting a non-homogeneous token and distributing a corresponding token reward; the system comprises a user interaction and data acquisition layer; the under-chain preprocessing and oracle layer is connected with the user interaction and data acquisition layer; and the on-chain core logic and governance layer is connected with the under-chain preprocessing and oracle machine layer. According to the method, security and experience are balanced through an adaptive trust mechanism, content credibility is enhanced through cross-modal verification, fair value ecology driven by communities is constructed, and multiple contradictions among privacy protection, authenticity verification and value distribution are effectively solved.

A method may include: receiving, by a smart contract, a request for a random number and a randomness seed from a user; deploying the request as a transaction that is written on a first block in the decentralized ledger; generating, by an oracle, a plurality of pseudorandom quantum circuits using the randomness seed; providing the plurality of pseudorandom quantum circuits to a quantum randomness source, wherein the quantum randomness source executes the quantum circuits and returns a sequence of random bits to the oracle; writing the sequence of random bits to a new block in the decentralized ledger; hashing the sequence of random bits and a block hash for the new block; and returning the hash of the sequence of random bits and the block hash to the user computer program, wherein the user consumes hash of the sequence of random bits and the block hash.

This invention provides a method and system for matching transactions based on a blockchain oracle. The method includes: each buyer and seller sequentially uploading transaction information to the blockchain; updating a first incremental hash value in the smart contract according to the hash value of the transaction information; calling an off-chain computing system via the oracle to calculate a second incremental hash value based on the hash value of each transaction, the calculation method of the second incremental hash value being the same as that of the first incremental hash value; matching the transaction information according to preset matching rules to obtain a matching result to be verified; uploading the matching result to be verified and the second incremental hash value to the blockchain; and verifying the matching result to be verified using the first incremental hash value, the second incremental hash value, and the preset matching rules through the smart contract to determine the matching result. Implementing this invention improves the security of transaction information and increases the matching efficiency of transactions.

Embodiments of the present application provide a data processing method and device based on a line segment tree structure, equipment and medium, the method comprises: after the oracle contract receives the first transaction request sent by the business contract, the first request condition corresponding to the first condition hash value is obtained based on the first transaction request, and the condition hash value matched with the first condition hash value is found in the line segment tree structure of the on-chain storage space. If not found, the oracle contract is called to send the first off-chain query request for the first request condition to the off-chain oracle, so that the oracle returns the first off-chain business data to the oracle contract. The received first off-chain business data is taken as the first business data by calling the oracle contract, and the first business data and the first condition hash value are updated to the tree node associated with the first request condition in the on-chain storage space. By using the embodiments of the present application, the utilization rate of off-chain data can be improved, and the waste of storage resources can be avoided.

The application provides a kind of distributed new energy asset chain method and system based on error control, belongs to the field of blockchain technology and asset digitization.The method obtains off-chain operation data, reports through multiple independent oracle nodes and aggregates on the chain to form a consensus state, and then checks the consensus state according to the error tolerance parameter.If the check is passed, the corresponding real-world asset token state is updated;if the check is not passed, the token is placed in a function-limited risk state, and its on-chain interaction is limited.The application converts data errors into a manageable state on the chain rather than a system exception, solving the problem of reduced system availability caused by data errors in existing technology and improving the robustness of the system.

The invention discloses an abnormal account risk level determination method and device, equipment and a medium, and relates to the field of financial science and technology. The method comprises the steps of obtaining account description information of a to-be-determined risk level in real time, inputting the account description information into a structured rule generator for structure matching, and determining target triple structure intelligent contract information; performing fusion processing on the target triple structure intelligent contract information through a multi-oracle fusion module to generate current algorithm fusion compliance data; judging whether the current algorithm fusion compliance data meets a risk level determination contract triggering condition or not; and if yes, carrying out risk level judgment on the current algorithm fusion compliance data through a risk level determination module, and determining and feeding back the risk level of the target abnormal account. The problems of lack of execution logic capable of being directly mapped to the intelligent contract and poor stability and flexibility of rule analysis are solved, the efficiency of abnormal account risk level determination and the stability and flexibility of rule analysis are improved, and the security of account data is guaranteed.

The invention provides a relational distributed database-oriented fuzzy testing method, which comprises the following steps of: through a test case generation method based on grammar variation and random fault injection, a code coverage rate and reinforcement learning feedback mechanism, and an oracle machine combined with consistency verification and difference testing, performing fuzzy testing on a relational distributed database; and the test coverage rate, the vulnerability discovery capability and the test efficiency of the distributed database are remarkably improved. Compared with an existing method, the method not only improves the pertinence and coverage rate of the test cases, but also can more effectively discover potential vulnerabilities of the distributed database in a complex scene, and improves the intelligence and automation degree of the whole test.