719 results about "Data provider" patented technology

The invention discloses a data security sharing method and system, and relates to the technical field of data security, and the method comprises the steps: receiving to-be-shared data uploaded by a data provider; fragmenting the data by adopting a biologically inspired adaptive fragmentation algorithm; generating a digital fingerprint for each fragment by using a multi-dimensional dynamic Hash algorithm; encrypting data fragments by adopting a post-quantum encryption algorithm and storing the data fragments in a decentralized network; recording the access authority, the digital fingerprint and the storage position information to a block chain security account book; when a data request is received, the access permission is verified; carrying out identity verification by adopting multi-mode biological feature recognition; after the verification is passed, obtaining a digital fingerprint and a storage position from the block chain; acquiring the encrypted fragments from the decentralized network and decrypting the encrypted fragments; verifying the integrity by using the digital fingerprint; and recombining the verified fragments to obtain complete data and returning the complete data to the requester. According to the method, efficient data sharing is realized while the data security is guaranteed, and the data value and privacy protection are effectively balanced.

A system for intelligent AI-based optimization of processing of job applicants. The system includes a processor of a recruitment server connected to an applicant data provider node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: receive data related to an applicant for a position from the applicant's data provider node; parse the data by a skill filter to derive a plurality of matching features; provide the plurality of the matching features to a machine learning (ML) module; receive a recommendation from the ML module pertaining to interviewing the applicant; responsive to a receipt of a positive recommendation, access live interview data; derive a feature vector from the live interview data; pass the feature vector to the ML module; and receive predictive outputs from the ML module indicating a degree to which the applicant fits the position.

The invention provides a credible sharing method and system for multi-party industrial data, and relates to the technical field of data processing, and the method comprises the steps that multiple participants encrypt local industrial data through a credible execution space, and generate encrypted data and corresponding data fingerprints; defining a data access rule based on the smart contract; verifying and auditing the data access request, and obtaining an encrypted data authorization certificate after verification and auditing; and under the federated learning framework, the trusted execution space of each data provider executes the privacy calculation task based on the authorization certificate, and outputs a task calculation result and sends the task calculation result to the task requester. According to the method and the device, the technical problem of privacy risk of data leakage or tampering caused by contradiction between multi-party industrial data sharing and privacy protection is solved, the privacy can still be ensured while data sharing is ensured through federated learning and trusted execution space, and the security and the credibility of data sharing are improved.

An apparatus and a method are disclosed for analyzing attributes of electronic transactions. The method includes generating a combined standardized transaction data structure based on analysis of transaction data; creating or updating one or more composite risk signals based on analysis of event data; obtaining one or more additional risk signals using machine learning based on at least one of: the combined standardized transaction data structure, the one or more composite risk signals, the event data, or third party data received from a third party data provider; and generating at least one of a detection event, a transaction alert, a case management message or a regulatory filing message based on at least one of: the combined standardized transaction data structure, the one or more composite risk signals, or the one or more additional risk signals obtained by machine learning, or the third party data.

The invention discloses a blockchain and homomorphic encryption-based power data privacy protection method and system, and belongs to the technical field of power data privacy protection, and the method comprises the steps that a data provider encrypts power data by using Paillier homomorphic encryption, uploads a ciphertext hash value to a blockchain, carries out the digital signature of a ciphertext, divides a key, and carries out the encryption of the key; enabling each data demander to receive the ciphertext, the signature and the key fragment; and the data demander performs cooperative decryption after performing data source and integrity verification to obtain a plaintext. Through distributed storage of a key sharing scheme, the security of the key is remarkably improved, single-point faults are avoided, the fault tolerance of the whole system is improved, and the flexibility of data transaction is optimized; for a mass data transaction process, the encryption and decryption efficiency is improved, the data processing speed and performance are improved, the real-time performance of data transaction is ensured, the resource consumption is reduced, and the user experience is improved.

The invention discloses an urban multi-mode digital twin data asset security management method, and relates to the technical field of urban digital twin and data security, and the method comprises the steps: firstly building a unified access gateway, converging multi-department and multi-type data, and generating sensitivity annotation and privacy level metadata; performing differential privacy or desensitization and dynamically calibrating parameters at the local part of the data provider according to the labels; bookkeeping access, authorization and training on a permission alliance chain, and performing fine-grained permission control; through on-chain authorization, each node only uploads disturbed and encrypted model update, and a global model is obtained after secure aggregation; the governance layer continuously monitors logs, budget and model indexes and triggers strategy closed-loop regulation and control; and multi-agent reinforcement learning of a privacy agent and a performance agent is further introduced, a unified multi-target optimizer is formed through distillation, privacy, federation and permission strategies are refreshed online, and collaborative analysis and compliance sharing operation without data out of a domain are realized.

The invention relates to a decentralized information safe and efficient storage and sharing method supporting data verification. The method comprises the following steps: 1) an initialization stage; 2) generating and uploading a ciphertext; 3) evaluating the size of the uploaded ciphertext; if the size of the ciphertext exceeds 256 KB, the IPFS carries out fragmentation processing on the ciphertext, stores the fragments in node servers distributed globally, and generates a unique address identifier at the same time; 4) splicing into a new plaintext; 5) the data provider selects an encryption strategy and performs attribute encryption on the new plaintext; (6) the data requester submits an access application to the Hyperledger Fabric before using the data; 7) verifying the legality of the data request; 8) acquiring a symmetrically encrypted ciphertext; and 9) decrypting to obtain the privacy data of the patient. According to the invention, the paralysis state of the whole system caused by faults of some nodes can be avoided.

A system for privacy-preserving distributed training of a global model on distributed datasets has a plurality of data providers being communicatively coupled. Each data provider has a local model and a local training dataset for training the local model using an iterative training algorithm. Further it has a portion of a cryptographic distributed secret key and a corresponding collective cryptographic public key of a multiparty fully homomorphic encryption scheme. All models are encrypted with the collective public key. Each data provider trains its local model using the respective local training dataset, and combines the local model with the current global model into a current local model. A data provider homomorphically combines current local models into a combined model, and updates the current global model based on the combined model. The updated global model is provided to at least a subset of the other data providers.

The invention discloses a digital twin data sharing and authentication system based on a block chain, and belongs to the technical field of digital twin, and the system comprises a data source layer which stores multi-source data into different databases according to data types; the data processing layer is used for preprocessing, fusing and associating the multi-source data to obtain an association relationship among the preprocessed data, and generating an encrypted value of the preprocessed data and a digital signature corresponding to the encrypted value; the block chain layer constructs an alliance chain network, verifies the legality and authority of a data provider uploading a digital signature and an encrypted value, analyzes the encrypted value to obtain preprocessed data and stores the preprocessed data after verification is passed, and automatically executes data sharing and authentication operation when an intelligent contract is triggered; and the application layer provides an interactive interface and a data authentication service, and is integrated with a data twinning application. According to the invention, the data sharing efficiency, the authentication transparency and the decision accuracy in the digital twinning application are improved, and the deep application of the digital twinning technology in multiple fields is promoted.

The embodiment of the invention provides a credit scoring method and device for a credit white user. Wherein the data provider comprises a government affair platform party, a transaction opposite party and a financial institution party, and the user data of the financial institution party comprises a user identifier of a credit white user. And the plurality of data providers align the local user data of each party through a privacy intersection algorithm, so that each party determines the first user data of the aligned credit white user from the local user data. And the plurality of data providers respectively encrypt the local first user data of each party and send the encrypted first user data to the service platform. And the service platform performs secret state model prediction based on a local credit scoring model and the first encrypted user data of each party, obtains a secret state credit score of the credit white user, and provides the secret state credit score to a score user. And the score user decrypts the credit score from the secret state credit score, and determines a risk control decision for the credit white user based on the credit score.

The invention discloses a trusted data exchange method and device based on trusted space and a storage medium. The method comprises the steps that a data provider uploads data to a trusted data space; the data supply platform generates a contract, wherein the contract comprises a signing timestamp, a data identifier, a data provider identifier, a data user identifier, a use permission, a service life, a data modification limit and a control strategy; performing Hash encryption on the contract information, and storing the contract information in a target block chain; respectively mapping'points', 'horizontal 'and'interval' in the Morse code into a zero-width non-connector, a zero-width connector and a zero-width space symbol, and converting the encrypted contract identifier into a Morse code format; embedding a zero-width non-connector, a zero-width connector and a zero-width space symbol at random positions of the uploaded data information, wherein the encryption key is generated based on a preset encryption algorithm; and encrypting the uploaded data information by using the encryption key.

The invention discloses an attribute-based searchable encrypted power grid data sharing method and system, and the method comprises the steps: a data provider requests a private key and inputs metadata information, a key generation center receives the request of the data provider, determines the return condition of the private key to the data provider according to an access control strategy, and stores the return condition of the private key to the data provider; the encrypted data is uploaded to a block chain system; the data consumer requests the block chain system to retrieve target data, and the key generation center judges the access authority of the data consumer according to the access control strategy; if access is authorized, the data consumer decrypts and checks the target data by using the private key; and when the unauthorized party retrieves the data, the key generation center forbids the access of the unauthorized party according to the access control strategy, and if the retrieval fails, the unauthorized party cannot check the encrypted data. According to the method, developers and users are allowed to apply, so that ciphertext retrieval and fine-grained access control of power grid data are realized, and meanwhile, a user attribute revocation mechanism and multi-keyword searchable encryption are supported.

The invention discloses a data exchange method and device for a trusted data space and a medium. The method comprises the following steps: establishing a verifiable registry and a distributed digital steward of a trusted data space; registering a data space main body ID for each main body of the trusted data space, and signing and issuing an identity certificate for each main body based on the data space main body ID; according to the identity credentials and the private keys of all the main bodies, identity mutual recognition among all the main bodies is achieved, and an incidence relation is established; writing metadata required by the data provider or the data developer to publish data into a verifiable registry, and establishing a data space data ID of the metadata based on the data space main body ID of the data publisher and the metadata; connection is established among distributed digital housekeepers, an end-to-end encryption connection pipeline is formed, and encryption data exchange is completed based on a connection channel.

The invention provides a data circulation optimization method and system under AI combined trusted data space, and relates to the technical field of data communication, and the method comprises the steps: determining a data circulation demand, carrying out the intelligent matching of a data provider and a data user, and generating an optimal matching result; a trusted data space is constructed, data flow path optimization is carried out, and an optimal data flow path is generated; establishing a unified supervision platform, performing data circulation risk monitoring on each node, and outputting a risk index of each node; and when the risk index of each node is greater than a preset risk index, generating risk reminding information. According to the method and the device, the technical problem that the supervision demand of current data circulation is difficult to meet due to the problems of supervision blind areas, response lag and the like in the prior art can be solved, and the technical effects of effectively improving the safety, the efficiency and the intelligent level in the data circulation process and reducing potential risk events are achieved.

A method for operating a data analytics system includes storing, at a first server system of the data analytics system, a first key associated with a data provider and / or storing, at a second server system of the data analytics system, a second key associated with the data provider. The first key and the second key are complementary keys generated using a secret sharing based cryptographic algorithm based on a policy arranged to control usage of data provided by the data provider. The first key and the second key are arranged to facilitate performing of a data analytics operation at the data analytics system.

The invention discloses a data right confirmation method and system based on a block chain and homomorphic encryption, and the method comprises the steps: a data provider generates a symmetric encryption key to encrypt target data, obtains a ciphertext of data to be subjected to right confirmation, calculates a hash value of the ciphertext, carries out the signature through a private key, and obtains a data credential of the data to be subjected to right confirmation; performing right confirmation application based on the data credential, and after the right confirmation application is passed, performing uplink storage on the data ciphertext by the data provider; when a data provider and a data user perform data transaction, a transaction condition is determined and a public key is applied, and a contract is signed and linked between the two parties; and after the contract is signed and chained, the signature and the account balance are verified, if the conditions are both met, the agreed amount is transferred from the data user to the data provider, and the data provider sends a decryption key to the data user. According to the method, the reliability and traceability of the data right confirmation information can be ensured, and the requirement of privacy protection during data transaction is met in combination with homomorphic operation.

The invention discloses a cross-chain data penetration type sandbox supervision method and system for ideal lattice attribute encryption on a block chain, and the method comprises the following steps: a third-party platform selects and builds a block chain, configures each node on an alliance chain, and forms a supervision sandbox; the third-party platform carries out sandbox initialization, namely, a public key and a main private key are generated according to an ideal lattice encryption algorithm; the data provider, the data user and the supervision mechanism register identities on the block chain; arranging cross-chain data to be shared by a data provider, and defining an access strategy of the cross-chain data; a data user initiates an access request to the data and submits the access request; after the data user obtains the access authorization, data decryption is carried out by utilizing the attribute private key and the decryption ciphertext of the data user; and the supervision mechanism monitors and checks the flow direction and access condition of the data in real time through the block chain in the supervision sandbox, and identifies an abnormal access mode through an integrated anomaly detection mechanism of the smart contract. According to the method, the privacy and the integrity of the cross-chain data are guaranteed.

The invention discloses an auditing key management method based on a trusted execution environment, which comprises the following steps that: a data provider encrypts original data by using k to obtain a ciphertext C, and calculates a hash value id of the C; t; id, kgt; storing the result in association locally, and storing the result; d, Cgt; uploading to a cloud server; the data provider formulates and signs a data use strategy, the data processor formulates and signs a data processing strategy, and the data use strategy and the data processing strategy are both sent to the security service program of the trusted execution environment; verifying the signature and the authorization state of the processing strategy, and sending a key request and a remote authentication report to a data provider; after the data provider remotely verifies the remote report, if the request is agreed, the key k is sent to the security service program through the security channel, and a key use record is stored in the block chain; and the security service program downloads the ciphertext C, decrypts the data after verification, executes processing operation, and returns an encryption result to a specified receiver. According to the invention, real-time auditing and evidence storage can be carried out on the use process of the secret key, and cross-domain management and control of data can be realized.

The invention discloses a data security sharing method and system, and relates to the technical field of data sharing. The method comprises the steps that a data provider uploads original data, a privacy budget value is calculated through a differential privacy algorithm, noise is added to obtain noisy data, and the noisy data is processed through an anonymous privacy protection algorithm based on maximum dissimilarity degree clustering to obtain desensitized data; encrypting the desensitized data by adopting a block chain decentralization-based ciphertext policy attribute-based encryption method, obtaining an encrypted data ciphertext, uploading the encrypted data ciphertext to a cloud server, and obtaining a content addressing hash value; encrypting the hash value through an elliptic curve encryption algorithm, and storing the encrypted hash value to a block chain account book; and when an access request of a data requester is received, the cloud server verifies the authority by using a non-interactive zero-knowledge proof protocol and returns an encrypted hash value after passing the verification, and the requester decrypts to obtain the hash value and decrypts the encrypted ciphertext to obtain desensitized data, thereby realizing data sharing.

The invention discloses a large model corpus data interaction system and method based on a trusted execution environment, a terminal and a medium. The system comprises a data provider, a data demander and a trusted data space service platform. And the data provider is used for encrypting the corpus data, and performing preprocessing, directory sorting and packaging on the corpus data in the data provider connector to obtain the data capsule. And the data demander is used for submitting a calculation task in the data demander connector and obtaining corpus data of the data capsule for calculation after authorization. And the trusted data space service platform is used for storing the encrypted corpus data, controlling access of a data user, scheduling a calculation task, managing a key and generating an audit log. Through trusted execution environment hardware isolation and full-link encryption, it is ensured that corpus data only exists in a plaintext form in the trusted execution environment in the full life cycle from access to destruction, and unauthorized access and leakage are completely eradicated.

The invention discloses a trusted data sharing method based on a block chain consensus mechanism. The method comprises the following steps: S1, constructing an alliance chain network; s2, completing KZG polynomial commitment generation, ML-KEM algorithm encryption storage and pointer registration; s3, the data provider medical institution completes an evidence storage transaction of the FROST threshold signature; s4, the target medical institution completes the access request transaction; s5, the data provider medical institution sends a KZG unpacking proof and a data item, the target medical institution obtains a storage pointer and a commitment value, KZG verification check is executed, and after verification is passed, an ML-KEM algorithm is executed for depacking to obtain a session key; and S6, the target medical institution completes the audit transaction, and after the alliance chain network broadcast, the consensus node executes rule verification of the access control contract and the audit contract. The multi-node electronic medical record sharing and tamper-proof evidence storage method is high in performance and traceability, and is suitable for credible circulation of sensitive health data among multiple medical institutions.

The invention provides a data capsule generation and verification method and device, equipment and a medium. The method is applied to a data sending end, and comprises the following steps: determining an encryption key and an access strategy corresponding to a data provider; performing encryption processing on the to-be-encrypted data based on the encryption key to obtain encrypted data, and determining a first encryption parameter corresponding to the encrypted data according to the encrypted data and an access policy; based on the first encryption parameter and the identity information, adopting a preset calculation rule to generate a capsule identifier corresponding to the to-be-encrypted data; and packaging the capsule identifier, the access strategy, the encrypted data and a preset calculation rule to obtain a corresponding data capsule. According to the scheme, the verifiable and non-tampering capsule identifier is generated based on the encrypted data, the access strategy and the identity information, so that the risks of data packet switching, content replacement, strategy tampering and the like are effectively prevented, and the structural security and the use control credibility of the data capsule are improved.

The invention discloses a data fine-grained access control method, system and device and a medium, mainly relates to the technical field of access control, and is used for solving the problems of identity and attribute separation, low strategy updating efficiency and insufficient auditing capability in the existing scheme. Comprising the steps that a data user generates a distributed digital identity document containing at least one role attribute through a distributed digital identity system, and the distributed digital identity document is subjected to uplink storage after being audited by a registration mechanism; the data provider generates an ABE private key according to the main public key and an access control strategy, encrypts the ABE private key by using the DID public key of the data user, and sends the encrypted ABE private key to the data user; the data user obtains an ABE private key by using the DID private key; decrypting the ABE ciphertext on the block chain by using the ABE private key to obtain a symmetric key; and obtaining the original data in the trusted data space through symmetric key decryption.

An example method includes determining a provider distribution by television viewing area using a provider-reported number of subscribers for a television viewing area and a sum of weights of panelist households that are located within the television viewing area. The method also includes obtaining a target distribution of a characteristic for the television viewing area. In addition, the method includes determining, using iterative proportional fitting, provider-specific distributions of the characteristic for the television viewing area. And the method includes using the provider-specific distributions of the characteristic for the television viewing area as a basis for assigning values of the characteristic to households that are subscribers of the return path data provider and located in the television viewing area.

The invention discloses a data circulation method and device in a trusted data space, equipment and a medium, and relates to the technical field of data security sharing, and the method comprises the steps: obtaining a node instance request sent by a data demander through a first connector node in the trusted data space; wherein the data demander accesses the trusted data space through the first connector node; responding to the node instance request to determine a data flow path between the first connector node and a second connector node in the trusted data space, so that the data provider transmits to-be-transmitted target data to the data demander through the data flow path; wherein the data provider accesses the trusted data space through the second connector node. According to the invention, secure transmission and sharing of data in a trusted data space are realized.

The invention discloses a real-time process mining method based on data analysis, which belongs to the technical field of data analysis, and comprises the following steps: providing a user interface, allowing a user to configure input parameters of a data acquisition task, including a target website URL (Uniform Resource Locator) and an acquisition frequency; the data acquisition module is used for realizing pre-definition and comprises a webpage crawler module which is used for automatically accessing and capturing contents of a target website and pre-processing the contents; an API calling module is provided and used for obtaining data from a third-party service or a data provider; the database query supporting module is used for directly extracting data from a database and carrying out encryption transmission on the data; monitoring the state and performance of the data acquisition task in real time; when abnormity or performance reduction is detected, the system automatically triggers an alarm; according to the method, the technical threshold of process mining is remarkably reduced through a user-friendly interface.

Systems and methods for watermarking machine learning training data for verification thereof, include, for a training data provider, obtaining training data; responsive to verifying the training data based on a use case or application associated therewith, watermarking the training data by adding watermarked data therein; and publishing the watermarked training data. For a machine learning model provider, the systems and methods include obtaining training data to train the machine learning model for an application or use case, to any of make predictions, inferences, and classifications related to the application or use case; obtaining a one-way function associated with the application or use case; checking the training data with the one-way function to determine validity thereof; and, responsive to the validity, utilizing the training data to train the machine learning model.

The invention discloses a data transaction participant behavior analysis system based on a block chain and a game model, and relates to the technical field of behavior analysis, the data transaction participant behavior analysis system comprises a game main body construction unit, the game main body construction unit sets three participants including a data provider, a data user and a supervisor as three game main bodies in a block chain network, and the transaction appointment unit restrains behaviors of the data provider and the data user by formulating an intelligent contract, and after the transaction is finished, the intelligent contract automatically calculates the reputation through feedback of the two transaction parties. According to the method, the three-party evolutionary game model among the data user, the data provider and the supervisor on the block chain platform is constructed, the evolutionary stability of the strategy selection of each participant is analyzed, the influence relationship of each hypothesis parameter on the three-party strategy selection is discussed, and the stability of the equilibrium point in the three-party game system is further analyzed.

The invention relates to the technical field of data sharing, and discloses a technical database sharing and verification matching system and method based on a block chain technology, and the method comprises the steps: determining shared data according to data contents and metadata records in a technical database; after the shared data is encrypted, setting a query verification mode and a query index of the encrypted shared data to determine a sharing rule of the shared data; according to the sharing rule, identifying an identity type of the data sharing request, and extracting identity verification data of the identity type to set a permission verification mechanism; setting a decryption interval of the shared data by using a permission verification mechanism and a digital signature extracted from the identity verification data; decrypted data is extracted from the decryption interval to be matched with the data sharing request, and a sharing verification result of the technical database is analyzed according to a matching result; according to the invention, the security of data sharing can be ensured, and the trust degree between the data provider and the data requester is improved.

Disclosed in the present application are a data access control method and device based on semantic support, and a medium. The method comprises: a data provider establishing an ontology model of data semantics on the basis of ontology knowledge of each piece of distributed data source data, and uploading the ontology model to a blockchain network; providing rule information of the data source data, and writing a distributed data source data address and the rule information into a smart contract on the blockchain network, wherein the rule information is used for representing an access control policy for the distributed data source data; receiving a data access request uploaded by a data access end by means of the blockchain network, and acquiring authorization information for the data access request on the basis of the rule information in the smart contract; and if it is determined that the authorization information indicates that access is allowed, on the basis of a data access method corresponding to the ontology model, acquiring fine-grained data corresponding to the data access request, encrypting the fine-grained data, and then sending same to the data access end.