63 results about "Distribute hash table" patented technology

The invention discloses a big data resource service method and system based on multi-modal data fusion, belongs to the technical field of big data processing, and solves the problems that a scheduling scheme is formulated only by calculating an energy consumption value and a resource utilization rate of a server in an existing method, the adaptability to dynamic changes is poor, and the overall performance and the resource utilization rate of the system are reduced. The method comprises the steps that a multi-modal data sequence is preprocessed, a shared database is created, multi-modal data are encrypted and distributed to a distributed hash table of distributed nodes, a resource retrieval instruction is recognized based on a resource scheduling model, and the resource scheduling model dynamically deploys a data transmission task based on target data attributes and real-time transmission path information; according to the method, the resource scheduling model considering the multi-modal data distribution and transmission characteristics in the distributed environment is constructed, collaborative learning and optimization among distributed nodes are realized, the transmission path is dynamically optimized, the delay and energy consumption of data transmission are reduced, and the intelligent level of scheduling is improved.

The invention discloses a lightweight block chain node consensus mechanism optimization method, and relates to the technical field of block chains. According to the method, the computing power of the lightweight nodes is accurately evaluated through a hierarchical verification aggregation algorithm, efficient participation of the lightweight nodes in a resource-constrained environment is realized, a transaction set is divided into a plurality of subsets by adopting a transaction verification fragmentation strategy, and verification results are aggregated by utilizing a Merkel tree aggregation verification technology; in addition, a dynamic storage management strategy is established, the depth of locally stored historical data is dynamically adjusted according to the node storage capacity, and network storage and retrieval are performed through a distributed hash table; the bottleneck problem of storage and network transmission is effectively solved, and the network bandwidth utilization efficiency and the storage management flexibility are improved.

The invention discloses a multi-level privacy protection data sharing method and system based on a block chain. The method comprises the following steps: S1, collecting and uploading original data; generating an encryption key by adopting a dynamic DNA coding sequence and combining an AES key expansion method, encrypting the collected data by utilizing the generated encryption key to obtain an encrypted file, and storing the encrypted file in a local storage library; s2, uploading the encrypted file in the step S1 to a distributed hash table of an IPFS distributed storage system through an SHA-256 hash function, and verifying and confirming a block by adopting a dynamic hybrid consensus mechanism; s3, accessing the block chain by the user through the smart contract, and executing space-time double-attenuation permission control; and S4, after the permission verification is passed, a decryption key is provided for the user, and the user performs data decryption by using an AES decryption algorithm and DNA reverse coding. According to the method, more accurate authority management can be provided, the security and compliance of data access are improved, and the method is suitable for management of large-scale data.

A full-link data security protection method and a system are provided. The method includes: at a data creation and collection stage: building a data security identification; at a data transmission and storage stage: dividing the ciphertext file into blocks to generate ciphertext components; calculating a virtual index and a data label; transmitting the ciphertext components to a distributed hash table (DHT) network; uploading a tuple including the virtual index, the data block, and the data label to a cloud server; at a data processing and exchange stage: applying re-encryption based on a re-encryption key generation algorithm; performing decryption to obtain the signed identifier and a secret value; acquiring a tuple having a ciphertext component associated with the virtual index. Attribute-based proxy re-encryption is used to achieve fine-grained access control for the cloud storage. In the data destruction stage, the DHT network automatic updating utility is leveraged to realize data self-destructing.

The invention relates to the field of virtual reality simulation, and discloses a virtual laboratory simulation system and method based on the VR technology, and the method comprises the steps: obtaining user interaction data through a sensor, carrying out the preprocessing, transmitting the user interaction data in real time through a network communication protocol, carrying out the data fusion and synchronous processing, and updating scene data, transmitting the updated scene data to the user; a scene synchronization value is calculated through network delay and equipment performance difference, scene data is fused with space-time three dimensions to perform synchronization verification, and a scene state synchronization algorithm based on a distributed hash table is adopted to monitor the change of a scene state and perform dynamic adjustment; detecting and compensating the operation delay of the user, establishing an operation delay model, predicting the operation action of the user, and executing the operation action in advance in the virtual scene; according to interaction data of an object in a virtual scene, an interactive friction tactile feedback signal is generated in real time, and tactile feedback is controlled by combining a pressure sensor and vibration motor hardware equipment.

A secure method for exchanging entities via a blockchain is presented. The method comprises receiving, from a user over a communications network, an invitation to perform an exchange of entities; generating a redeem script comprising metadata; hashing the redeem script to generate a redeem script hash; sending the first script and the first script hash on a distributed hash table (DHT); and generating an invitation transaction comprising an output associated with an encrypted digital asset, and a hash of a script comprising an indication of entities to be exchanged, conditions for the exchange, and a public cryptographic key associated with the user.

The invention discloses a power operation management and control method and system based on big data pre-compression gridding processing, and the method comprises the steps: S1, carrying out the pre-compression through a data partitioning mechanism and dynamic dictionary compression; s2, performing gridding processing through three-dimensional grid division and anomaly detection; s3, on the basis of a genetic algorithm and a particle swarm optimization algorithm, performing optimal state mining on a gridding processing result; s4, on the basis of the electricity price prediction result and the optimal state mining result, determining the enabling rate of each device and the corresponding output power parameter; and S5, carrying out visual output. The system is used for supporting the method to operate. Through the distributed hash table and double-layered dictionary coding, mass data are quickly compressed, and the calculation load is reduced; carrying out multi-dimensional grid division and hybrid algorithm calculation, and carrying out accurate positioning and obtaining optimal operation parameters; and electricity price prediction, decision scheme generation and visual display are carried out, so that the management and control process is more visual.

This invention discloses a distributed data query method and system for ubiquitous storage. The method comprises the following steps: Step 1, constructing a hierarchical index network model, which includes a metadata management network and a data block index network: a decentralized metadata management network is constructed using a fully connected networking approach; a data block index network is constructed based on a distributed hash table; Step 2, defining a hierarchical data index interaction paradigm to achieve collaborative management and fast querying of metadata and data blocks. This invention, through the hierarchical index network model, decouples metadata from location information, reducing the management and maintenance costs of metadata.

The application relates to the technical field of data security, in particular to a cloud file destruction and data tracing method and system, which comprises the following steps: a distributed hash table algorithm is used to analyze a physical storage unit set of a cloud file to be destroyed; a chaotic sequence multiple overwriting operation is used to forcibly clean the physical layer; a storage unit state flip matrix is collected in real time, and a Shannon entropy value is calculated; a cryptography destruction certificate is generated after the Shannon entropy value breaks through a safe destruction baseline; and finally, the certificate is encapsulated into a terminal block of a full life cycle tracing chain. In the application, the chaotic overwriting based on the entropy value detection is executed by analyzing the physical storage unit set, and the residual magnetic characteristics of the data in the physical layer are forcibly destroyed, so that the hidden danger of false deletion in the cloud environment is solved, the unalterable destruction evidence is established in combination with a chain locking mechanism, and the safe closed loop of the data full life cycle is realized.

A method for restoring data on a client node in a network includes receiving, by a first node and from the client node, a restoration request for a first version of a requested data asset; querying, by the first node, a distributed hash table (DHT) to identify a second node in a plurality of nodes storing a second version of the requested data asset; verifying, using a distributed ledger table (DLT), that the second version of the requested data asset stored on the second node matches the first version; and initiating, based on the verifying, a data transfer of the second version of the requested data asset from the second node to the client node.

The invention discloses a directory-type distributed data structure implementation method and system, belongs to the technical field of data storage and concurrent processing, and aims to solve the technical problems of poor expandability and low performance of a traditional data structure under a non-cache consistency / partial cache consistency multi-core architecture. Comprising the following steps: dividing a multi-core architecture into a plurality of consistent islands, connecting the islands through a high-speed packet-loss-free network, and performing cross-island communication between cores through two communication primitives; a distributed hash table DHT is constructed, each server node maintains a plurality of hash buckets, the hash buckets adopt a linked list to solve conflicts, and a target server node and the hash buckets are positioned through a hash function; a server node is selected as a synchronizer, the synchronizer is used for distributing or recycling operation key values for a client side, the client side achieves data structure operation of stacks, queues and double-end queues through combination of two short messages and one DHT primitive, and linearization points of all the operations only depend on the moment when the synchronizer returns the key values.

A data center storage system integrated into a core network. The system comprises a plurality of data centers that each provides a memory storage; a plurality of optical fiber communication links, wherein each optical communication link communicatively couples two of the data centers to each other, wherein the memory storage of the data centers stores a plurality of files, wherein each file is identified by a hash calculated over the content of the file, wherein a distributed hash table is stored in the memory storage of each data center that associates hashes of files to a memory storage location where the files are stored, and wherein at least some of the files are distributed across each of the plurality of data centers, whereby a vulnerability to hacking the files is decreased, and wherein each data center is connected to the core network.

The application particularly relates to a relay forwarding node selection method and system for a terminal computing power network. The relay forwarding node selection method for the terminal computing power network comprises the following steps: searching for a distributed hash table (DHT) retrieval relay forwarding node list according to network resource demand information of a deployed service, and performing preliminary screening; performing secondary screening based on available bandwidth and the number of connections, and performing DHT retrieval again to obtain associated address information multiaddr; performing connection testing, filtering relay forwarding nodes that cannot meet the demand, and establishing a relay connection; monitoring performance data of the relay connection, and re-searching for applicable relay forwarding nodes if the network resource demand is not met. The relay forwarding node selection method and system for the terminal computing power network can update connection resource information of relay forwarding nodes providing relay services in a timely manner, meet network resource demand, realize communication between a service providing node and a service consuming node, and guarantee connection quality of the service.

The application belongs to the technical field of cloud computing and information security, and discloses an education resource sharing method and system based on cloud computing. The method carries out structural analysis on online course resources uploaded to a cloud platform, defines a user role attribute model based on an education scene, constructs an access control policy tree based on an attribute-based encryption mechanism, adopts a distributed hash table to store fragments of the resource ciphertext, and generates a resource positioning index. When a course resource access request is received, the education attribute set of the requesting user is verified, and a learning path perception mechanism is combined to determine whether the user meets the decryption condition and chapter unlocking condition of the access control policy tree. The course access record, learning duration, test score and credit acquisition record of the learner are recorded to an education alliance chain to generate a verifiable learning record certificate, thereby realizing access tracing and auditing. The technical problems of coarse education resource access control granularity, weak anti-stealing broadcast capability and low learning record credibility are solved.

This invention discloses a management method for trusted blockchain data, belonging to the field of trusted data technology, comprising the following steps: S1, constructing a four-layer architecture of "privacy enhancement layer - dynamic consensus layer - cross-chain collaboration layer - value mining layer," with each layer achieving collaborative linkage through intelligent interfaces; S2, the privacy enhancement layer adopts a scheme integrating zero-knowledge proof, homomorphic encryption, differential privacy dynamic noise injection, and blockchain key sharding management; S3, deploying an enhanced adaptive consensus switching mechanism in the dynamic consensus layer; S4, constructing a cross-chain mapping network based on a distributed hash table in the cross-chain collaboration layer; S5, introducing an enhanced federated learning framework in the value mining layer. This invention, employing the above-mentioned management method for trusted blockchain data, allows the strength of privacy protection to adapt to scenario requirements, significantly improves the identification and response speed of malicious nodes, enhances cross-chain collaboration capabilities, and makes data value mining more accurate.

The invention provides a method and a device for realizing a network function, which are used for realizing the network function under the condition that a distributed network architecture meets credible requirements. The method comprises: a sixth NF network element receiving first information from a first network function NF network element and second information from a second NF network element; acquiring a first model and first data according to the second information; and determining the response of the business demand according to the first model and the first data. The second information indicates a storage condition of data required for realizing a service demand in a third NF network element, the second NF network element is used for recording the storage condition of the data by adopting a distributed account book technology, the third NF network element is used for storing the data by adopting a distributed hash table technology, and the data comprises model data corresponding to a model type and first data corresponding to a data type; the model data is used to determine a first model.

A computer-implemented method (600) and system (1) for verifying ownership of a computer software for installation using a distributed hash table (13) and a peer-to-peer distributed ledger (14). This may be the Bitcoin blockchain or an alternative blockchain implementation. The method includes determining (610) a second user public key associated with a second user (24) from a transaction record stored on the peer-to-peer distributed ledger (14). A second public key associated with the second user may be determined (620) from an entry on the distributed hash table (13). The method further includes comparing (630) the second user public key and the second public key, and verifying (640) the ownership of the computer software based on the comparing of the second user public key and the second public key.

Systems, methods, and apparatus are provided for implementing a dynamically customized ATM payload. An ATM may extract a user identifier and home region during a session. The ATM may be a node on a distributed network and securely publish data to a distributed hash table. Extracted data may trigger smart contract logic including a transaction rule associated with the user and a transmission rule restricting network switches for payload delivery outside the home region. AI algorithms may generate a custom payload including the transaction rule and an interface adapted for the user home region. The payload may be pushed to the ATM via a set of spine-leaf switches based on the transmission rule. The payload may be deployed at the ATM during the session to modify a default ATM interface and a default ATM transaction rule. The ATM may purge the payload from memory when the session is terminated.

The application provides a data privacy protection method, comprising: obtaining an original data set, extracting a high-sensitivity field and calculating the correlation between the high-sensitivity field and other fields to determine a high-correlation field combination; performing intelligent segmentation and dispersed storage on the high-correlation field combination, and constructing a distributed hash table index; realizing encrypted aggregation and asynchronous update of global model parameters through a federal learning framework; constructing an adversarial sample for the high-correlation field combination, training a privacy protection defense model; performing differential privacy disturbance processing on the high-sensitivity field; calculating a correlation risk index of the high-correlation field combination in real time, and generating a correlation risk analysis report; dynamically adjusting a data segmentation strategy according to the correlation risk analysis report, and optimizing local model training sample selection; if the correlation risk index exceeds a preset safety threshold, triggering adaptive update of a differential privacy de-correlation processing flow.

The application discloses a kind of centerless hardware trust identification generation and authentication method based on PUF, belong to information security technical field.The application relies on the physical unclonable feature of PUF chip, and PUF feature drift is handled by combining error correction code and auxiliary data processing fuzzy extractor, and stable hardware native fingerprint is extracted;Stable characteristics are mixed with double salt factor, and local trusted UID is generated by SM3 algorithm of national secret;Based on UID and PUF feature, unique SM2 key pair is derived by HKDF-SM3 algorithm and validity is verified;Three-level layered key system is constructed, and key derivation is completed using SM4-CBC mode;Trusted UID, dynamic data are combined to complete SM2 signature of national secret, and one-time two-dimensional code is generated to realize double offline authentication;Centerless public key synchronization and authentication result traceability are realized by combining distributed hash table and alliance chain, without central control and special medium, native compatible national secret algorithm, solve the core problem of PUF stability and centerless public key distribution, realize the real centerless hardware trust authentication.

The application relates to the field of virtual reality simulation, and discloses a virtual laboratory simulation system and method based on VR technology, which comprises the following steps: obtaining user interaction data through a sensor for preprocessing, transmitting the user interaction data in real time through a network communication protocol, carrying out data fusion and synchronous processing to update scene data, and transmitting the updated scene data to the user; calculating a scene synchronization value through network delay and device performance difference, carrying out synchronization verification on the scene data in space-time three dimensions, adopting a scene state synchronization algorithm based on a distributed hash table to monitor the change of the scene state and dynamically adjust; detecting and compensating the operation delay of the user, establishing an operation delay model, predicting the operation action of the user, and executing in advance in the virtual scene; generating a friction haptic feedback signal of interaction in real time according to the interaction data of objects in the virtual scene, and controlling the haptic feedback in combination with a pressure sensor and a vibration motor hardware device.

A computer-implemented method and system for verifying the integrity of a computer software for installation using a distributed hash table and a peer-to-peer distributed ledger. This may be the Bitcoin blockchain or an alternative implementation. The method includes determining a metadata associated with a transaction record stored on the peer-to-peer distributed ledger. An indication of an entry stored on the distributed hash table may be determined from the metadata. The method further includes determining a third hash value based on the computer software and determining a fourth hash value from the entry on the distributed hash table. The method further includes comparing the third hash value and the fourth hash value and verifying the integrity of the computer software based on the comparing of the third hash value and the fourth hash value.

A computer-implemented method (600) and system (1) for verifying ownership of a computer software after installation and prior to execution using a distributed hash table (13) and a peer-to-peer distributed ledger (14). This may be the Bitcoin blockchain or an alternative implementation. The method includes determining (610) a second user public key associated with a second user (24) from a transaction record stored on the peer-to-peer distributed ledger (14). A second public key associated with the second user may be determined (620) from an entry on the distributed hash table (13). The method further includes comparing (630) the second user public key and the second public key, and verifying (640) the ownership of the computer software based on the comparing of the second user public key and the second public key.

The invention discloses a multi-modal membrane switch monitoring data management system, relates to the technical field of monitoring management, and solves the problem that it is difficult to comprehensively monitor multi-modal data and process and store large-scale data by using a distributed hash table. The performance change, the surface oxidation wear degree, the sensitivity index and the overall performance change rate performance index of the membrane switch are difficult to evaluate; the performance of each sensor is difficult to monitor and the performance degradation degree value of the sensor is difficult to evaluate; and intelligent fault early warning management is difficult to realize based on multi-modal data and a deep learning model. According to the invention, through fusion monitoring and acquisition of multi-modal data of the membrane switch, construction of a network node evaluation sensitivity index and construction of a performance degradation evaluation model, quantitative analysis is carried out, and the performance of the sensor is monitored by using a neural network, so that fault early warning management is comprehensively realized.

The invention discloses a routing information broadcasting method and device, equipment, a readable storage medium and a product, and relates to the technical field of computer networks, the method comprises the steps that a pre-constructed virtual network is acquired, and the virtual network comprises at least one logic routing node; a distributed hash table network corresponding to the virtual network is constructed, for each logic routing node, at least one node corresponding to the logic routing node exists in the distributed hash table network, and the node corresponding to the logic routing node is used for storing routing information of the logic routing node; and carrying out routing information broadcasting through the distributed hash table network. According to the invention, the broadcasting efficiency of routing information broadcasting is improved.

Methods and systems for data synchronization between endpoint devices in an edge network are disclosed. The method may include distributing data generated by an endpoint device to any number of additional endpoint devices based on a replication policy, and maintaining a distributed storage system (e.g., a distributed hash table) for data hosted by the endpoint devices. When a data access event for a portion of the data hosted by the endpoint devices occurs, one endpoint device may be selected, based on the distributed hash table and / or latency considerations, from which at least a copy of the portion of the data may be retrieved and used in providing computer-implemented services.

The present application relates to the technical field of data storage. Disclosed are a data storage method and apparatus, a product, and a non-volatile readable storage medium. Data distribution oriented for a distributed hash table algorithm is used to design corresponding degraded replica nodes, so as to perform, in a healthy replica node and a degraded replica node, read and write operations on replica data corresponding to a faulty node. Normal I / O read and write operations without requiring recovery are realized, and I / O reading and writing after cluster degradation are realized by means of a degraded replica list and valid data bitmap marking, thereby eliminating the dependency between I / O and data recovery, and ensuring that data fault tolerance does not decrease after the degradation. Delayed data recovery in a fault scenario is supported, and data recovery is performed on a degraded replica in a degraded replica node on the basis of a delayed recovery strategy so as to implement data storage, such that a data recovery process is implemented, thereby ensuring that the impact of a faulty device on the service I / O performance is minimal, thus optimizing the I / O performance, and improving the I / O read and write efficiency.

A computer-implemented method and system for determining a metadata M for securing a controlled digital resource such as computer software using a distributed hash table and a peer-to-peer distributed ledger. This is a blockchain such as the Bitcoin blockchain. The method includes determining a data associated with the computer software and determining a first hash value based on the computer software. A second hash value based on the data and the computer software may be determined. The method further includes sending 140, over a communications network, the data, the first hash value and the second hash value to an entry for storage in a distributed hash table. The second hash value may be a key of a key-value pair. The data and the first hash value may be a value in the key-value pair. A metadata (M) that is based on the second hash value may be determined for storage on the peer-to-peer distributed ledger.