239 results about "Merkle tree" patented technology

A system for adaptively caching network communication protocols enhances efficiency across heterogeneous device environments through a multi-level cache architecture with device-capability-based tiers. The system collects endpoint telemetry data including device capabilities and operational constraints to classify endpoints and generate context-aware protocol variants optimized for specific device types. Protocol optimization opportunities are determined through structural analysis of message patterns and state transitions. The system performs protocol deduplication by identifying functionally equivalent variants and maintaining canonical representations to reduce cache redundancy. Cache synchronization across distributed nodes uses enhanced Merkle tree structures with protocol normalization processing. The system predicts communication needs based on historical patterns, network context, and endpoint constraints, enabling proactive cache management tailored to device capabilities. Integration with event-driven data communication systems enables seamless protocol selection and translation while maintaining compatibility between diverse endpoint types, from high-performance servers to resource-constrained IoT devices.

The invention relates to the field of edge computing data security, in particular to an integrity auditing method and system in an edge computing environment. The problem that an existing cloud auditing model is high in delay and large in bandwidth consumption in an edge scene is mainly solved. A lightweight audit challenge is generated through random sampling, data block aggregation operation is executed at an edge node, Merkel Hash tree path evidence is extracted, and integrity proof of dual verification is formed; and the aggregated evidence and the path evidence are verified by using bilinear mapping, so that efficient and credible auditing is realized. Dynamic data updating and accurate positioning of damaged blocks are supported, communication overhead is remarkably reduced, and real-time credibility of edge data is guaranteed.

The invention relates to the technical field of data intelligent traceability, and discloses a whole-process business data intelligent traceability method and system. The method comprises the following steps: collecting first data of a preset business link and creating a semantic tag to form a semantic tag data set; the semantic tag data set is stored in a Merkle tree structure, and a service block chain is constructed; extracting second data of each business link from the business block chain, and generating a fusion data set based on the second data; and establishing a relation graph according to the fused data set, after receiving a traceability query request, starting to search a traceability path from a starting service point in the relation graph, and outputting a traceability result, thereby ensuring the reliability of the traceability result, and solving the problems of serious data island, missing association relationship and low traceability precision of the traditional traceability technology.

The invention discloses a traceability application-oriented block chain database data management system, particularly relates to the technical field of block chain database data management, and is used for solving the problems of easy data tampering and low verification efficiency caused by traceability data logic association and physical storage splitting. The method comprises the following steps: firstly, matching a parent physical sector offset through an association analysis module, determining a storage partition, and assembling a write-in instruction; then, a topology binding module executes a disk write operation, synchronously reads parent node hash and performs combinatorial operation in combination with a physical address to generate a topology binding check value bound with the physical position; the aggregation anchoring module uses a Merkel tree aggregation check value to generate a root fingerprint and perform uplink, and establishes an anchoring voucher; and finally, a path verification module positions a physical position according to the certificate, executes reverse recursive addressing and step-by-step Hash recalculation, and assembles a pedigree verification packet, so that a closed-loop trust system from physical storage to chain certificate storage is constructed, and the tamper-proof capability and verification efficiency of the traceability data are improved.

The invention provides a multi-database automatic synchronization method under an AI platform, and belongs to the technical field of database automatic synchronization. The captured change records are converted into synchronous messages in a unified format, the synchronous messages are input into an intelligent scheduling optimization model for dependency analysis and transaction reordering based on dynamic programming, data conversion rules are dynamically generated according to mode version differences, and data consistency is verified through a Merkle tree hierarchical structure; the multi-stage self-adaptive compression transmission and data writing are completed after the target node executes conflict detection and circular dependency processing, and finally the final consistency among the multiple databases is guaranteed through a periodic full-amount account checking task, so that the technical problem of synchronization performance bottleneck caused by low transaction scheduling efficiency in the automatic synchronization process of the multiple databases is solved.

The invention provides a ship-based unified storage and management design data method, which comprises the following steps that: an operation end generates and sends an editing request with a node identifier, an editing type, a timestamp and a digital signature, and a WEB front end receives and verifies the legality of the request through an encryption channel; the storage service generates an intention lock based on the permission table and version number matching, and concurrent access control is achieved. Then, the WEB front end carries out content definition partitioning (CDC) and Hash fingerprint calculation on a design file stream, the storage service realizes partitioning duplicate removal and incremental storage according to a fingerprint matching result, and a Merkle tree is utilized to construct a file version integrity Hash root; on this basis, the system analyzes model differences, constructs a semantic difference chart, and calls a rule engine to perform automatic pre-check. According to the method, efficient storage, collaborative editing, security and credibility and hierarchical scheduling management of ship design data are realized, and the method has the technical advantages of high data consistency, high resource utilization rate, traceability auditing and the like.

The invention discloses a carbon emission abnormity traceability method and device, a medium and equipment, and belongs to the field of carbon emission, and the method comprises the steps: receiving a traceability request containing a to-be-verified data identifier, positioning target link data from a block chain storage, and executing signature verification and Hash consistency verification, thereby guaranteeing the authenticity and consistency of the data. And if the verification of the target link data is passed, verifying the inclusion relation of Merkle tree root hash of each link upwards layer by layer to confirm the integrity of the full-chain data. And if verification failure of any level is found, the feature data of the level is combined with an anomaly detection model based on an isolated forest algorithm, and an abnormal data node is positioned. And then, according to the signature information of the abnormal data node and the preset tracking secret key, a group signature verification and private key derivation process is applied, the responsibility participant is traced, and the tracing process of the carbon emission abnormity is completed, so that the problem that the carbon emission abnormal point cannot be accurately and efficiently traced in the prior art is effectively solved.

The invention discloses a digital fingerprint generation method for terminal equipment, and relates to the technical field of digital fingerprint generation, comprising the following steps: S1, collecting multi-dimensional hierarchical features; s2, privacy enhancement; s3, fingerprint anti-regeneration generation is carried out; and S4, fingerprint life cycle management. According to the terminal equipment digital fingerprint generation method, multi-dimensional fine-grained feature acquisition is realized from a non-sensitive layer, a semi-sensitive layer and a high-sensitive layer, a feature weight is optimized through a federated learning framework, fingerprint drift caused by hardware replacement and software updating is effectively resisted, and the user experience is improved. Dynamic Gaussian noise is injected into numerical semi-sensitive features to balance privacy protection and feature effectiveness, 2048-bit key Paillier homomorphic encryption is adopted for high-sensitive features, meanwhile, cross-scene tracking risks are blocked through scenarized sub-fingerprint generation and an original feature immediate destruction mechanism, and the privacy protection and feature effectiveness are improved. And an anti-duplication architecture fusing a Merkle tree and a bloom filter is introduced to greatly reduce the fingerprint coincidence collision rate.

The invention relates to the technical field of data processing, in particular to an automatic driving vehicle data processing system based on identity recognition, comprising: a data acquisition module outputting an original data stream carrying a digital signature; the preprocessing module filters illegal data streams according to the digital signature, and outputs time-aligned laser radar data and visual data; the feature fusion module outputs a six-degree-of-freedom pose estimation result; the safety processing module generates safety feature descriptors according to the cosine similarity, the timestamp difference constraint range and the encryption seeds; the verification storage module stores the Merkel tree, the encrypted point cloud and the encrypted image to a candidate node group; and the calibration module calculates a correlation coefficient between the timestamp of the visual data and the timestamp of the laser radar data, and reconfigures a hardware trigger time sequence of the data acquisition module. According to the method, the problem of cross-modal data fusion credibility caused by sensor clock skew is solved, and the identity recognition accuracy is improved.

The provided index server indexes two-dimensional (2D) location data included in the transaction data as a K-d-B tree, constructs partial Merkle trees for a group of leaf nodes in the K-d-B tree, and stores hierarchical hash information based on the partial Merkle trees in each of nodes of the K-d-B tree. When a query related to the location data is acquired via the interface module, the index server searches the K-d-B tree to find a query result corresponding to the acquired query, and generates verification data for verifying the searched query result on the basis of the partial Merkle trees and the hierarchical hash information. The index server then provides the query result and the verification data to the user terminal to verify the integrity of the query result using the partial Merkle trees and the hierarchical hash information by the user terminal.

The invention discloses a digital media content block chain copyright protection method comprising the following steps: S1, digital media content preprocessing: obtaining target digital media content, extracting a multi-dimensional feature set of the content, the feature set comprising content hash features and semantic features; s2, hierarchical block chain evidence storage: constructing a three-layer block chain architecture of a right confirmation chain, an evidence storage chain and a right protection chain, and splitting and storing the multi-dimensional feature set in the step S1; S3, automatically executing a smart contract: deploying a copyright management smart contract; and S4, copyright version association: when target digital media content is updated and iterated, extracting a multi-dimensional feature set of a new version, associating new version feature Hash with historical version feature Hash through a Merkle tree, and storing the new version feature Hash and the historical version feature Hash to an evidence storage chain to realize integration of version tracing and ownership continuation. The infringement content with Hash change but similar semantics can be recognized through multi-dimensional feature comparison, the tampering recognition accuracy is larger than or equal to 95%, and safety is improved.

The invention relates to the technical field of traceability of a meta-universe platform, and discloses an agricultural product traceability system and method based on the meta-universe. According to the method, firstly, key events such as harvesting, farming operation, quality inspection and transportation of agricultural products in the whole process from planting to selling are automatically collected through a collection end, parameters and evidence hash values are spliced, a data abstract is calculated, digital signature is carried out, and it is ensured that a data source is credible; the gateway carries out triple defense line verification on the received data packet; then the data association module performs knowledge graph construction on the discrete events passing verification, quantifies the credibility of the causal relationship through multi-dimensional weight calculation, and finally determines a main causal path representing the most credible life trajectory; and finally, the upper chain traceability module adopts a mixed architecture of a Merkle tree and distributed storage, generates a digital fingerprint from the key information of the main path, stores the digital fingerprint in a block chain, stores a complete evidence packet in an IPFS, and finally provides immersive traceability experience capable of being verified by one key for consumers in the meta universe to form a closed-loop credible traceability chain.

The invention discloses a TEE endogenous lightweight proving method oriented to AI model behavior verifiability, and belongs to the technical field of big data and artificial intelligence, the method comprises the following steps: deploying a behavior monitoring probe in a TEE, capturing an activation value of a model middle layer in real time, calculating a feature contribution degree, then compressing a behavior record into a behavior abstract through a Merkle tree, and obtaining the behavior abstract. Finally, an authentication report fusing traditional TEE authentication and behavior abstracts is generated, a verifier can verify the compliance of model behaviors through the report, and fine-grained auditing of specific reasoning behaviors is supported. According to the method, the verifiability of the behavior during the operation of the AI model is realized while the privacy of the model and the data is ensured, the problem of performing efficient and verifiable monitoring on the behavior during the operation of the AI model on the premise of protecting the privacy of the model and the data is solved, and the method has the characteristics of light weight, high efficiency and low overhead.

A symbolic execution kernel for artificial general intelligence (AGI) and artificial superintelligence (ASI) systems is disclosed. The kernel comprises a cognitive logic module for constraint-based symbolic instruction execution, a cryptographic arbitration engine for ethical branch verification, and a runtime firewall for threat detection and symbolic graph mutation neutralization. Symbolic instructions are processed as constraint-satisfaction problems verified by satisfiability modulo theory solvers and cryptographically sealed for integrity. Behavioral sequences are preserved using Merkle hash trees, and multimodal inputs including electroencephalography signals undergo symbolic verification. Zero-knowledge proofs, dual-kernel consensus, and rollback logic provide resilience against faults and ethical drift. The architecture achieves arbitration within five microseconds and ensures lawful and deterministic execution under hardware or network compromise.

The invention discloses a whole-process traceability and authenticity identification method and related equipment for tobacco products, and relates to the technical field of data processing.The method comprises the steps that data are collected in a multi-source cooperative mode, the same production parameter is synchronously collected through at least three pieces of independent internet-of-things equipment, and equipment digital signatures, timestamps and positioning information are added; by means of the multi-device and multi-dimensional synchronous acquisition means, the problem of data distortion caused by faults or malicious tampering of a single sensor is effectively avoided, and the data transmission efficiency is improved on the basis of improving the data authenticity. And returning a Merkle tree path corresponding to the tobacco product, an associated equipment identity certificate and an operator behavior record to the user, thereby providing a full-process scheme for verifying data integrity and credibility of the collection main body for the user.

The application discloses a data verification system implementation method based on a block chain and zero-knowledge proof. In the data verification stage, the data use end pays the corresponding data verification fee to the on-chain smart contract according to the verification requirement, and the demand satisfaction and data real possession are verified through the interaction with the smart contract; in the data declaration stage, the data owner carries out the Merkle tree on the data and generates the characteristic zero-knowledge proof, and the on-chain verification and evidence storage of the data are completed through the interaction with the smart contract, and in the data verification stage, the data owner responds to the challenge of the data real possession, generates the existence proof of the challenge data block set and carries out the on-chain verification and evidence storage, so that the data verification can be independently executed without relying on the third-party service executable environment or the trusted hardware, the independence and safety of the data verification are ensured, and in the whole data real possession verification process, the data is always saved in the local security environment of the data owner, and the complete non-flow of the data is realized.

The invention relates to the technical field of information security and cryptography, and provides a distributed digital identity account processing method and device and electronic equipment. The method comprises the following steps: receiving an alias registration request sent by a first QVI mechanism; creating a user account tree based on the first account association information corresponding to the first user; the user account tree is a Merkel tree comprising at least one pair of leaf nodes, determining a first alias corresponding to the first user, binding the first alias with the user account tree, and generating a first identity certificate; at least combining the first root hash signature value of the user account tree with the hash value of the first identity certificate to generate a first association record, and synchronously storing the first association record in the block chain; and determining a corresponding user account tree according to the to-be-verified alias carried in the query request, generating a zero-knowledge proof based on the user account tree, and at least returning the zero-knowledge proof to the second user. According to the technical scheme, the AID account verification process can be simplified, and the user experience is improved.

The invention discloses a drawing data protection method and a drawing device, and relates to the technical field of drawing data protection. Before screen clearing is executed, current handwriting data are stored, and a right confirmation process is triggered; after receiving a right confirmation success receipt, controlling a display layer to execute screen clearing; if right confirmation fails or is overtime, screen clearing interlocking is kept, and a rollback strategy is executed; by constructing a core mechanism of first storing and then clearing and right confirmation interlocking, the problem of data loss or ownership dispute caused by the fact that the right of drawing data is not confirmed in time before screen clearing operation is effectively solved, high-fidelity and traceable right confirmation protection of the creation process is achieved through combination of handwriting vectorization reconstruction and block chain evidence storage, and the user experience is improved. A father-son hash association mechanism of AI derivative works is introduced, a traceability relationship between original works and generated contents is established on a chain by using a Merkle tree structure, copyright ownership under an AI creation scene is guaranteed, and a hardware-level clear screen interlocking circuit and a system-level family monitoring strategy are matched.

The invention provides a data asset management method and system based on a distributed account book technology, and relates to the technical field of data asset management, and the method comprises the steps: S1, carrying out the segmentation of a to-be-managed data asset according to a predefined fragmentation strategy, generating an encryption index corresponding to each fragment, and constructing a Merkle tree based on the data of each fragment; according to the data asset management method and system based on the distributed account book technology, a consistent hash + virtual node fragmentation strategy is adopted, so that data distribution is balanced, full-amount remapping is not needed when nodes are newly added / removed, and the system maintenance cost is greatly reduced. According to the method, fragments are divided into multiple batches based on a load balancing algorithm, PBFT consensus requests are initiated in parallel, TPS is improved to a multiple level from a single instance mode through parallel block merging, and dynamic balance of high throughput and low acknowledgement delay is achieved by means of a lightweight BFT and parallel PBFT switching mechanism triggered by a threshold value. And it is ensured that the system always maintains the optimal performance during a service peak period and resource fluctuation.

The application discloses a blockchain-based digital copyright evidence storage method, an electronic device and a readable storage medium. The digital copyright evidence storage method comprises the following steps: collecting original content and environment data of a digital work, generating a content hash value and environment data by a hash algorithm, combining the content hash value and the environment data into a to-be-signed meta-information package, generating a data signature by an elliptic curve digital signature algorithm, forming a signed copyright digest data package, and obtaining a structured digest hash value by hashing again; analyzing the environment data of the digital work to obtain a data confidence coefficient, constructing a Merkle tree in combination with the structured hash value, obtaining a root node value and path index information; storing the root node and key meta-information in a blockchain main chain, generating a blockchain auxiliary chain mapping identifier through a work ID and a type hash, and storing a structured copyright data signature package, path index and confidence coefficient in an off-chain database.

The application belongs to the technical field of blockchains, and particularly relates to a compliance data credible storage and traceability system based on digital fingerprints and alliance chains, which comprises a data preprocessing and structured slicing module, a multi-level digital fingerprint construction module, an alliance chain consensus storage module and a compliance verification and traceability module. The data preprocessing and structured slicing module is used for data standardization and slicing. The multi-level digital fingerprint construction module is used for constructing a Merkle tree based on a slicing fingerprint and extracting a global fingerprint. The alliance chain consensus storage module is used for encapsulating the global fingerprint and metadata and storing encrypted slices in a distributed file system. The compliance verification and traceability module is used for realizing data verification and tampering accurate positioning by using a Merkle path proof. The multi-level hash structure improves large-scale data verification efficiency, the selective disclosure mechanism solves the conflict between privacy protection and compliance audit, and the alliance chain consensus mechanism ensures the whole life cycle safety and credible traceability of electronic data storage.

The application belongs to the technical field of data processing, and particularly relates to a method for storing and verifying operation and maintenance data of a series backup power supply based on a blockchain. The method collects voltage and internal resistance data of each single power supply of the series backup power supply, and constructs an ordered sequence according to the physical position sequence. According to Kirchhoff's voltage law, the theoretical total voltage drop is calculated, and the difference between the theoretical total voltage drop and the measured total voltage drop is taken as a constraint factor. The constraint factor and the ordered sequence are used to construct a local Merkle tree and generate a root hash, which is broadcast to a blockchain network. The smart contract analyzes the ordered sequence to recalculate the difference, and when the recalculated difference is within a preset physical threshold range, the root hash is written into a blockchain ledger. The physical and electrical coupling relationship of the series circuit is embedded in the blockchain consensus verification process, and the physically constrained factor is used to block locally tampered data from being uploaded to the chain in violation of the circuit rules, thereby ensuring the physical consistency of the stored data.

The method for performing identity authentication on the account in the block chain system is executed by a node of the block chain system, and comprises the following steps: acquiring a first transaction which comprises first proof data which comprises zero knowledge proof and first root hash, the zero-knowledge proof is used for proving that the first root hash is calculated based on first secret data input by a first user, and the public input of the zero-knowledge proof comprises a first account address. The verification contract is called based on the first transaction to execute the following steps: verifying the zero knowledge proof based on the first root hash; under the condition that the verification is passed, whether the first root hash is the same as a second root hash stored in the block chain system is determined, and the second root hash is uploaded by an identity authentication mechanism and is a root hash of an authentication Merck tree; and under the condition that the first root hash is the same as the second root hash, recording an identity authentication state corresponding to the first account address as an identity authentication passing state in a contract state of the verification contract.

A method for verifying the integrity of a binary tree graph structure having "h" layers and a plurality of nodes configured to provide public keys, the method comprising: verifying the integrity of a stored root hash value associated with a root node; obtaining non-root nodes among the plurality of nodes, the "h" layers including leaf layers, and the leaf layers including a plurality of leaf nodes associated with a plurality of one-time signature public keys; obtaining an authentication path associated with the non-root node, the authentication path including other nodes; performing multiple pairwise hash calculations on the non-root node and the other nodes to generate candidate root hash values; comparing the candidate root hash values ​​with the stored root hash values; and determining that the integrity of the binary tree graph passes verification when the candidate root value equals the stored root value.

This invention relates to the field of blockchain technology and discloses a Merkle tree hardware acceleration system for blockchain data verification. The system includes a control module for coordinating and controlling various modules; an address generator for generating addresses of sibling and parent nodes in the Merkle tree based on the indices of the input leaf nodes; a storage unit for storing the leaf, internal, and root node data of the Merkle tree; a computation module for performing data concatenation, hashing, and comparison on the Merkle tree nodes based on the addresses provided by the address generator, and generating intermediate and verification results; and a buffer for temporarily storing node data read from the storage unit and intermediate results output by the computation module. This invention designs a hardware acceleration architecture tailored to the structural characteristics of Merkle trees, improving the computational efficiency of blockchain data verification, achieving low-power operation, and is suitable for the performance requirements of various blockchain application scenarios.

The invention provides a data processing method and device, equipment, a medium and a program product, and can be applied to the technical field of distribution and financial science and technology. The method comprises the following steps: determining a plurality of nodes corresponding to a to-be-executed task; performing entry verification on the respective data version identifiers of the plurality of nodes to obtain a target verification result; under the condition that the target verification result shows that the data version identifier of the target node does not meet the preset updating demand condition, obtaining a target Merkel tree topology used for representing multiple pieces of target slice data in the target to-be-processed data and a reference Merkel tree topology used for representing multiple pieces of reference slice data in the reference to-be-processed data; according to a comparison result of the reference Merkel tree topology and the target Merkel tree topology, determining slice data to be updated from the multiple pieces of target slice data; and performing data synchronization on the to-be-updated slice data in the target to-be-processed data according to the reference slice data to obtain target slice data for executing the to-be-executed task.

The embodiment of the invention provides a lightweight lattice-based ring signature method suitable for a satellite network. The method is applied to the technical field of information security and comprises the steps that a ground control center generates system public parameters; the user generates a complete signature key pair based on the NTRU grid, and a compression verification identifier for the identity identifier is obtained through calculation of a complete signature public key; the ground control center constructs a gridding user set by using a space-time fragmentation technology, calculates Merkle tree roots as ring fingerprints and distributes the ring fingerprints to satellites; the user generates an anti-replay ring signature and member proof in combination with ephemeris information and spatio-temporal context; the satellite node executes lightweight rapid pre-verification according to the time, the position and the ring fingerprint; and the ground control center executes complete ring signature and membership verification. The method effectively solves the contradiction between limited satellite network resources and high-security requirements, and has the capability of resisting quantum computing attack.

This invention discloses a data acquisition and storage method and system based on blockchain and multiple data tags. The method includes: a client determining the source data file to be uploaded, a core metadata tag set, and an extended metadata tag set; deduplicating and merging the two tag sets to obtain a tag set; calculating the hash value of the tag set as its identifier; dividing the source data file into N file fragments, calculating their hash values, and constructing a Merkle tree; using the root hash value of the Merkle tree and the tag set identifier to construct another Merkle tree and obtaining the root hash value as a global integrity identifier; and uploading the source data file, its tag set, and the global integrity identifier to an application server, which then submits the data to the blockchain network as a notarization transaction to achieve tamper-proof notarization. This invention aims to ensure the security of source data files and tag sets during the acquisition and storage process, as well as the traceability of the acquisition and storage process, in distributed, geographically dispersed data acquisition and storage scenarios.

This invention discloses a multimodal biometric-based safety helmet blockchain-based evidence management system, specifically relating to the field of safety helmet management technology. It includes modules for ownership binding and activation, contactless access and on-duty verification, and behavior evidence storage and traceability. The ownership binding module creates employee files, collects fingerprint, facial, and voiceprint features, and generates an identity fusion code through normalization and dynamic weighted fusion. This code is then encrypted and written into the safety helmet's RFID chip, establishing a binding relationship. The contactless access module captures facial images and RFID information through a gate, calculates the overall confidence score locally and in the cloud, and initiates downgraded verification based on the root cause when the score is less than a threshold. The behavior evidence storage module generates event logs and evaluates the confidence score. After constructing a Merkle tree, the root hash is uploaded to the blockchain, and events are verified through path proof during tracing. This invention achieves unique binding between the person and the helmet, improves verification stability and anti-interference capabilities, ensures data reliability and traceability, and is suitable for refined safety helmet management in industrial and construction scenarios.

A computer-implemented method for determining a verification path for a target hash of a hash tree, where the hash tree comprises: a layer comprising a plurality of leaf hash, one or more layers each comprising one or more internal hash, and a layer comprising a root hash, where each hash is associated with a respective location within a respective layer of the hash tree, and wherein the hash of the hash tree or a respective value for deriving the hash of the hash tree is stored as an array ordered based on the respective layer of the hash tree and the respective position of the respective hash within the respective layer, wherein each hash or respective value stored in the array is associated with a respective index representing its location within the array.