31 results about "Distribute hash table" patented technology

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.

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.

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.

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.

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.

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 kind of concealed mobile query method based on blockchain and distributed hash table, first, construct the distributed hash table DHT network BDN based on blockchain enhancement BDN;Then, in the query scene under BDN, by mobile user initiates request and is completed by the concealed cooperation of adjacent user.BDN, blockchain is used as backbone network, bears the core function of transaction processing and smart contract execution;DHT network is used to access the geographic information of user, to support user mobile query.Query-oriented user concealed cooperation and behavior verification are respectively run on side chain and main chain network;Blockchain data layer accesses the user information in DHT network by index and storage interface;Message type in the P2P communication protocol of blockchain network layer is expanded to support information transmission in DHT network;Full node in blockchain bears the function of DHT network storage node;Smart contract guarantees the security of DHT access;MPT is introduced to optimize data index and retrieval.

The invention discloses an Internet of Things code distributed analysis method and system and a storage medium. The analysis method comprises Internet of Things code release and Internet of Things code analysis which are performed in sequence. The Internet of Things code publishing comprises the following steps: when an Internet of Things device end changes, publishing an Internet of Things code of the Internet of Things device end and corresponding analysis data to a distributed hash table network (DHT); and when the client needs to parse the Internet of Things code, executing an Internet of Things code parsing process. According to the method, a Kademlia routing algorithm of the DHT is utilized, a'provider mechanism 'is creatively adopted, only a lightweight'data provider index' is stored and distributed in the DHT, and when an Internet of Things code is queried, the DHT quickly returns a list of nodes holding code information. And the query party directly obtains the latest equipment information from the provider. The method is an extremely light-weight operation, almost takes effect in real time, and solves the problem of cache delay of a traditional DNS (Domain Name Server).

The invention discloses a distributed hash table method and device based on multi-way tree fusion geographic information. Establishing a four-layer multi-way tree structure comprising a national department ND layer, a province PR layer, a city CI layer and a county CO layer based on the geographic position and administrative membership relationship of each node; designing a node ID coding rule based on administrative level information and a random entropy value, and calculating and generating 160-bit node IDs through an SHA1 Hash algorithm; based on the hierarchy of the multi-way tree structure and the node ID logic distance of each node, constructing a mixed addressing table containing G buckets and K buckets; and based on segmented coding of node IDs and the mixed addressing table, determining an addressing level by comparing SegIDs of a target node and a local node in a segmented manner, and realizing positioning and data routing of the target node in combination with binary tree traversal. According to the scheme, the problems of delay and bandwidth consumption caused by the fact that geographic administrative division is not considered in a traditional DHT can be solved.

The application discloses a kind of multi-dimensional resource perception edge flow task processing methods based on distributed hash table, it is applied to the edge network environment of the heterogeneous edge computing node group composition.To each node establishes resource description model, flow processing application is abstracted as directed acyclic graph topology;Three-tier decentralized flow processing architecture including edge physical network layer, structured overlay network layer of fusion multi-dimensional resource perception routing algorithm and dynamic flow data abstraction layer is built;According to topological sorting, each operator calculates independent hash routing key and encapsulates deployment message injection overlay network;In the process of hop-by-hop routing of deployment message, node computing load, available memory, physical communication delay and logical hash distance are included in comprehensive cost evaluation;Through instant interception mechanism, intermediate node actively carries operator instance, realize the efficient adaptation of logical topology and physical resource, reduce flow processing application deployment time and end-to-end query delay.

Method and system for evaluating contents stored in a Distributed Hash Table (DHT) network are described. Contents are stored as chunks across nodes of the DHT network. Contents are subjected to cybersecurity evaluations to generate risk histories of the chunks. A reputation of a target content is determined based on corresponding risk histories of individual chunks that are present in the target content.

The invention provides a service discovery operation and maintenance method, a control platform and a computer program product, and belongs to the technical field of computers, the method is applied to a service discovery operation and maintenance system, the service discovery operation and maintenance system comprises the control platform and a node cluster composed of a plurality of nodes, and the method comprises the steps that the control platform receives a service instance updating request, the service instance updating request at least comprises the following steps: the control platform can distributedly send the updating request to each target fragment node to execute corresponding updating operation after receiving the updating request based on the distributed hash table and the positioning of the target fragment node, and each node only needs to process the respective received updating request, so that the updating efficiency is improved. Therefore, single-point overload is avoided, and service instance updating requirements of tens of thousands of times per second are met.

This application provides a network function implementation method and an apparatus, to implement a network function when a distributed network architecture meets a trustworthiness requirement. The method includes: Receiving first information from a first network function (NF) network element and second information from a second NF network element, obtaining a first model and first data based on the second information, and determining a response to a service requirement based on the first model and the first data. The second information indicates a storage status of data needed for fulfilling the service requirement within a third NF network element, the second NF network element is configured to record the storage status of the data by using a distributed ledger technology, the third NF network element is configured to store the data by using a distributed hash table technology, and model data within the data is used to determine the first model.

This invention provides a method for storing and distributing algorithms in a computing constellation based on Distributed Hash Table (DHT), comprising: constructing a distributed hash table network based on multiple satellite nodes in the computing constellation, and assigning each satellite node a unique node identifier in the distributed hash table network; mapping multiple algorithm files in a preset algorithm library to the distributed hash table network through hash operations, and storing them in the satellite nodes corresponding to the hash operation results; when the source satellite node receives remote sensing observation data, determining the target algorithm identifier based on the remote sensing observation data; if the source satellite node's local cache lacks the target algorithm identifier, determining the target satellite node storing the target algorithm in the distributed hash table network based on the target algorithm identifier; and sending the target algorithm from the target satellite node to the source satellite node, thus solving the problems of low inter-satellite bandwidth utilization efficiency and high task response latency.

This invention belongs to the field of blockchain and provides a blockchain data storage consensus method and system for energy data management. The method includes: the ledger node determining its connection status with all other ordinary nodes and updating the distributed hash table; based on the updated distributed hash table, the ledger node synchronizing the content data of all other ordinary nodes according to user needs; and based on the synchronized content data of all other ordinary nodes, the ledger node statistically analyzing the storage changes of each ordinary node and broadcasting the results. This invention implements a synchronization mechanism between the blockchain ledger and off-chain data storage, thereby realizing a consensus method based on blockchain and network-attached storage.

The invention relates to the technical field of low-altitude travel immersive experience, and discloses a VR (virtual reality)-combined low-altitude travel immersive experience implementation method, which comprises the following steps of: constructing a multi-source data storage and distribution architecture based on a distributed hash table, and mapping multi-source data to corresponding nodes; in a data transmission process, original data is segmented by adopting a fountain code technology to generate infinite coding packets; building a multi-modal fusion neural network based on a space-time attention mechanism for interactive recognition, and fusing visual data of a depth camera and data of an inertial measurement unit; a physical environment real-time sensing system is constructed by using a laser radar. By constructing a multi-source data storage and distribution architecture based on a distributed hash table and matching with high-performance data nodes and 10-gigabit Ethernet connection, the effects of improving the data storage and distribution efficiency, accelerating the data transmission speed, effectively balancing the data storage load and avoiding slow system operation caused by overlarge storage pressure of a single node are achieved.

The invention belongs to the technical field of optical communication networks, and discloses an automatically switched optical network information synchronization method, which comprises the following specific use steps of: S1, acquiring network topology, link state and service connection information in real time through an expanded OSPF-TE (Open Shortest Path First-Traffic Engineering) protocol; s2, constructing a global resource view based on a distributed hash table; s3, end-to-end connection is established through an enhanced RSVP-TE signaling protocol; s4, realizing clock synchronization of the whole network by using a time-triggered Ethernet mechanism; and S5, adopting a dual-channel redundancy transmission mechanism. According to the invention, an efficient and reliable optical network synchronization system is constructed through multi-dimensional technical innovation, and the network resource scheduling capability and the service bearing quality are remarkably improved; the real-time sensing and differentiated service guarantee of the network state are realized by combining the LDI delay index and the SPT priority label based on the refined information collection of the extended OSPF-TE protocol; the improved Chord algorithm and the virtual node fragmentation technology construct a cross-domain resource mapping framework.

This invention discloses a data fusion-based intelligent lupus monitoring system and its application in a smartwatch, covering the field of lupus monitoring. The system includes modules for data acquisition, preprocessing, fusion, disease assessment, early warning, storage and management, user interaction, model updating, personalized analysis, and telemedicine. Data is first collected from a smartwatch and medical devices, then denoised, normalized, and features extracted. A deep belief network is used to fuse the data to derive comprehensive health indicators. An LSTM and attention mechanism model is used to assess the disease condition. Threshold-based early warnings are set based on the assessment results and trend predictions. Distributed hash tables and blockchain are used to store and manage the data. A multi-terminal interface is developed, and the model is updated using federated learning and transfer learning. Lupus disease is assessed based on multiple datasets, and 5G communication technology enables remote doctor-patient interaction. This invention monitors the disease condition in real time, provides timely warnings of abnormalities, offers accurate disease assessment, optimizes the allocation of medical resources, promotes the development of telemedicine, and contributes to lupus research.