62064 results about "Database" patented technology

An example operation may include one or more of receiving an input from a user during a conversation that includes a plurality of prompts between the user and a chatbot within a chat window of a software application, converting text content within the received input into a vector, executing a large language model (LLM) on the vector and a database of vectorized responses to identify a vectorized response to output from among the plurality of vectorized responses within the database, converting the vectorized response into a text response, and displaying the text response output by the chatbot within the chat window of the software application.

An example operation may include one or more of storing a database of payment card data, conversing with a user via a chatbot within a chat window of a software application, wherein the conversing comprises receiving a query from the user about a payment card during a chat session between the user and the chatbot, executing a large language model (LLM) on the query about the payment card and the database of payment card data to generate a chatbot response, and displaying the generated chatbot response via the chatbot within the chat window of the software application during the chat session.

Systems and methods for data streaming with attribute-based access control. A client apparatus in a data streaming system receives a message via a data stream, form a data stream provider. The message has a schema version of the schema associated therewith. The client apparatus processes the message to retrieve a record, the record including a data item and a data tag corresponding to the data item. The client apparatus, with reference to the schema version, determine whether an identifier (e.g., client ID) of with the client apparatus has permission to access the data item associated with the data tag. After detecting that the identifier does not have permission to access data associated with the data tag, the client apparatus masks the data item to produce a masked data record. The client apparatus releases the masked data record for further processing by the client apparatus.

An example operation may include one or more of storing a database of payment card data, receiving an identifier of a product from a digital wallet on a user device, identifying one or more payment cards stored within the digital wallet on the user device, determining the benefits that will be obtained by using each of the one or more payment cards to purchase the product via execution of an LLM on the identifier of the product and the database of payment card data; and displaying a chat message within a chat window on the user device with a description of the determined benefits that will be obtained.

An example operation includes one or more of ingesting profile data of a user from an external data source, identifying a plurality of features of a profile hosted by the external data source based on an execution of an artificial intelligence (AI) model on the ingested profile data of the user from the external data source, identifying a feature from among the plurality of features of the profile hosted by the external data source that is not connected to a local user profile of the user, and displaying a connection request on a user interface, wherein the connection request includes a link to a page associated with the identified feature hosted by the external data source.

An example operation may include one or more of identifying a first topic from a call actively in progress, displaying a dashboard on a user device on the call, wherein the dashboard comprises content related to the first topic, receiving discussion data from the call, determining that a focus of the call has shifted from the first topic to a second topic, executing an artificial intelligence (AI) model on the second topic, dynamically generating dashboard content based on the execution, and displaying the dynamically generated dashboard content to the dashboard on the user device.

In some examples, computer-implemented systems and processes deploy securely de-risked elements of confidential data within a distributed computing environment. For example, an apparatus may obtain configuration data associated with a source data table. The configuration data may specify an identifier of a column of the source data table that includes elements of confidential data, and based on the configuration data, the apparatus perform operations that anonymize the elements of confidential data within the column of the source data table and generate an anonymized column within the source data table. The apparatus may also perform operations that provision an anonymized data table that includes the anonymized column to at least one computing system, which may process the anonymized data table and generate an output data table that includes the anonymized column and maintains a referential integrity between the source data table and the output data table.

The invention discloses an electronic signature security management method and system based on a block chain, and relates to the technical field of information security, and the method comprises the steps: generating a public key and a private key of a user through a quantum resistant encryption algorithm, binding the public key with the identity of the user, recording the public key and the identity of the user on the block chain, and storing the private key through HSM hardware encryption equipment; the method comprises the following steps: standardizing a to-be-signed document to generate a standard document, and calculating the standard document through a Hash algorithm to obtain a document Hash value; the signer signs the document hash value by using a private key and a CRYSTALS-Dillitium signature algorithm, generates an electronic signature and a signature proof, associates the electronic signature, the signature proof, the document hash value and a timestamp with a public key, and records the associated information on the block chain; and the standardized processing rule is written into the smart contract, and after a verifier submits a verification request, document hash value comparison, signature effective state check and signature proof verification are carried out through calling chain data by the smart contract.

Systems and methods for customer environment integration with anomaly detection systems are disclosed. The methods include receiving cloud computing environment data for the cloud computing environment; generating, based on the received cloud computing environment data, a set of commands for generating cloud computing infrastructure for anomaly detection, the set of commands including one or more commands for generating a first set of anomaly detection infrastructure elements within the cloud computing environment and for generating a second set of anomaly detection infrastructure elements at the anomaly detection system; and initiating an execution of the set of commands.

Apparatuses, systems, and methods for managing access to metadata stored at a memory. To manage access to metadata, a mode register is configured to receive a metadata enable setting and to provide a metadata enable signal based on the metadata enable setting. A metadata access control circuit configured to receive a column address identifying a particular column to be accessed within a memory array. The metadata access control circuit blocks access to a column corresponding to the column address when the column address matches one of a plurality of particular column addresses designated for storage of metadata and the metadata enable signal has a first value, and permits access to a column corresponding to the column address when the column address is different than every one of the a plurality of particular column addresses designated for storage of metadata or the metadata enable signal has a second value.

In some examples, computer-implemented systems and processes deploy securely de-risked elements of confidential data within a distributed computing environment. For example, an apparatus may obtain configuration data associated with a source data table. The configuration data may specify an identifier of a column of the source data table that includes elements of confidential data, and based on the configuration data, the apparatus perform operations that anonymize the elements of confidential data within the column of the source data table and generate an anonymized column within the source data table. The apparatus may also perform operations that provision an anonymized data table that includes the anonymized column to at least one computing system, which may process the anonymized data table and generate an output data table that includes the anonymized column and maintains a referential integrity between the source data table and the output data table.

Apparatuses, systems, and methods for shared codeword in two-pass access operations. The memory may use a read read modify write write (RRMWW) cycle to write data and metadata to the array. Metadata and a data codeword are read out as part of two read access passes and combined into a shared codeword. Error correction is performed on the shared codeword, and then the corrected shared codeword is modified with write data and metadata. Updated parity is generated based on the modified shared codeword and the modified data and updated parity and the metadata are written as two write access passes.

The invention discloses a collaborative sharing method, system and device on an energy data chain fusing multi-party security calculation and zero knowledge proof and a storage medium, and belongs to the field of energy data security sharing and block chain privacy protection, and the method comprises the steps: executing desensitization processing on original data according to types, and generating a cryptographic commitment value and a data hash identifier; encrypting and fragmenting the desensitized data, registering a task structure body through an intelligent contract, and uploading the task structure body; and each node decrypts the ciphertext, executes calculation and generates a zero-knowledge proof, and submits the zero-knowledge proof to the block chain to be verified by the smart contract. According to the method, data privacy protection and result verifiability unification are realized, cross-mechanism cooperation efficiency is improved, an auditing system on a whole process chain is constructed, and safe sharing of energy data is guaranteed.

The invention discloses a human resource management method and system based on data security. The method comprises the steps that multi-source human resource data are collected through a standardized interface, and sensitive levels are marked in a classified mode; calling a dynamic encryption engine based on the sensitive level and the data type, performing asymmetric encryption on the structured data, and performing hybrid encryption on the unstructured data; a dynamic hierarchical access control strategy is generated in combination with user roles and service scenes, and the permission range is adjusted in real time; laws and regulations such as GDPR and CCPA are analyzed through a compliance rule base, data operation legality is automatically verified, and illegal behaviors are blocked; k-anonymity and differential privacy technologies are adopted to desensitize sensitive data, and privacy protection and data availability balance are ensured; and recording a full-process operation log based on the block chain and generating a non-tampering audit report. The system comprises a data classification acquisition module, a dynamic encryption engine module, an access control engine module and the like. According to the method, the problems of data protection rigidness, compliance response lag and privacy-utility imbalance of a traditional HR system are solved.

The present application provides a vulnerability remediation code identification method, comprising: acquiring commit information of open-source software, the commit information comprising a committed code snippet and text information associated with the code snippet; inputting the commit information into a first language model and performing identification to obtain function change information and test case information; inputting the function change information into a vulnerability remediation identification model to obtain a vulnerability remediation code snippet for a target vulnerability, and inputting the test case information into a vulnerability test case identification model to obtain a test case code snippet for the target vulnerability; and inputting the vulnerability remediation code snippet for the target vulnerability and the test case code snippet for the target vulnerability into a second language model and performing integration and identification to obtain an identification result. On the basis of notable characteristics in a test case for a vulnerability, the identification rate of vulnerability remediation code can be effectively increased. In this way, a user can discover potential vulnerabilities in advance, thus reducing security risks.

The invention discloses a data security and privacy management method and system based on a block chain technology, and the method comprises the following steps: S1, collecting original data in a target system, and carrying out the preprocessing of the original data; s2, constructing an access control strategy set; s3, converting into a structured strategy configuration file, and deploying a smart contract; s4, matching and judging the access request and a preset strategy by the intelligent contract; s5, judging whether the access request is legal or not; s6, performing structured processing on the access log, and writing the access log into a block chain account book; s7, intelligently selecting an encryption mechanism, and providing access return data to the access party; and S8, carrying out modeling prediction on the access mode by adopting a federal gradient lifting tree algorithm. The block chain intelligent contract and the federal gradient boosting tree algorithm are fused, differential privacy, zero-knowledge proof and homomorphic encryption technologies are combined, data intelligence and refined privacy protection are realized, and the method has the advantages of high credibility, high intelligence and high traceability.

The invention relates to the technical field of data security, in particular to a data security sharing method and system. The method comprises the following steps: acquiring original shared data, carrying out reverse mapping and block marking, generating block marking data, carrying out inter-block random arrangement on the block marking data, carrying out differential disturbance simulation based on a random sequence, forming disturbance block data, and encrypting the disturbance block data by applying a progressive encryption technology. The method comprises the following steps: carrying out fragmentation storage, generating storage shared data, carrying out access monitoring on the storage shared data, collecting shared access data, and constructing an evidence chain and generating an access traceability data chain according to the data, thereby realizing the security and traceability of data sharing. According to the invention, a safer and more credible data security sharing method is realized.

A method and a system for providing at least one of a process automation and artificial intelligence (PAAI), a market aggregation, or an embedded marketplace relating to transactions are disclosed. In particular, a method and a system for automation of transactions in a transaction environment (e.g., marketplace or a set of marketplaces) are disclosed. A method and a system for managing transactions in a transaction environment (e.g., marketplace or a set of marketplaces) are disclosed. A method and a system for automating processing of transactions in a transaction environment (e.g., marketplace or a set of marketplaces) are disclosed. A method and a system for automated orchestration of a transaction environment (e.g., marketplace or a set of marketplaces) are disclosed. A method and a system for augmenting of services in a transaction environment (e.g., marketplace or a set of marketplaces) are disclosed.

The invention discloses an intelligent management method and system for port and navigation Internet of Things data, and the method comprises the steps: generating a standardized data flow through a multi-modal data fusion model according to the heterogeneous features of ship navigation data, port equipment operation data and cargo information; generating an anti-interference transmission channel based on the standardized data stream; according to the real-time data received by the anti-interference transmission channel, dynamically generating a tamper-proof storage index through a trusted execution environment; extracting multi-source data based on the storage index, and generating a ship arrival time prediction model and a port resource scheduling strategy; and according to the port resource scheduling strategy, constructing a cross-department data sharing network through a federated learning framework and a zero-knowledge proof protocol, and generating a verifiable shared data set. According to the embodiment of the invention, port and navigation Internet of Things data management with reliable transmission, safe storage and collaborative intelligence can be realized, and the data management efficiency is improved.

The invention discloses a method for generating and constructing a database test knowledge base based on an open source large language model and retrieval enhancement, and relates to the technical field of database testing, and the method comprises the steps: building a local deployment system on a local computer system or server, and achieving the efficient local operation of the open source large language model and the stable output of language processing service; on a local computer system or a server, a retrieval enhancement generation framework is constructed, and accurate knowledge support and reliable content output are provided for local language processing service by integrating multi-modal knowledge, optimizing retrieval and generation processes and guaranteeing safety and compliance; on a local computer system or a server, a personalized database knowledge base is built, database related information is collected and processed from multiple channels and is output in an adaptive form, and the specified information requirement of local personalized language processing service is met. According to the method, efficient and stable operation of the open source large language model is realized, accurate and reliable language processing output is realized, and personalized services meet specific requirements.

An apparatus and method for real-time assessment and mapping of quality of life indicators includes: selecting a set of quality of life dimensions, receiving objective quality of life indicators based on the quality of life dimensions, receiving subjective quality of life indicators based on the quality of life dimensions, performing a statistical analysis on the objective quality of life indicators and the subjective quality of life indicators, storing the objective quality of life indicators, the subjective quality of life indicators, and the results of the statistical analysis in a database, and outputting the objective quality of life indicators, the subjective quality of life indicators, and the results of the statistical analysis.

The invention relates to the technical field of service examination and approval, and discloses a service examination and approval processing method, device and equipment and a storage medium, and the method comprises the steps: receiving a user authorization request, verifying the user authorization request, and obtaining a sub-account certificate with a reading only permission; performing real-time data acquisition on the plurality of e-commerce platforms based on the sub-account credentials to obtain multi-dimensional user data including transaction records, operation data and evaluation information; inputting the multi-dimensional user data into a preset space-time sequence attention network and graph convolution hybrid model to carry out dynamic evaluation on a user behavior pattern to obtain risk quantitative indexes; inputting the risk quantitative indexes into a rule engine integrating an adaptive decision tree and a genetic algorithm for automatic decision making to obtain a graded approval decision; and performing multi-signature encryption on the execution instruction according to the graded approval decision to obtain a safety operation instruction and execution state information, thereby realizing full-process automation from data acquisition, risk assessment to decision execution.

The invention relates to the technical field of drawing auditing, and discloses an artificial intelligence assistant for auditing a CAD drawing of a transformer substation. The artificial intelligence method for auditing the CAD drawing of the transformer substation comprises the following steps: obtaining a DWG drawing and an auditing specification PDF file through a uniform interface, analyzing a primitive by using a pyautocad or ezdxf library, extracting equipment information and a topological relation, constructing a position-based drawing knowledge graph, and storing the position-based drawing knowledge graph in a Neo4j database. And performing OCR and BERT vectorization on the PDF, and storing the PDF into an FAISS search library. A LangChain framework is utilized to integrate a knowledge graph and a text library to construct a mixed retriever, an optimization cue word is generated and input into a Deepseek large model for examination and reasoning, and finally, an error position is marked in AutoCAD with a red box. According to the method, the equipment information can be automatically extracted from the drawing, the topological relation of the equipment can be identified, and accurate and rapid auditing is performed in combination with related auditing rules, so that the substation drawing auditing efficiency and accuracy are remarkably improved.

Embodiments of the present disclosure provide a report generation method and system, an electronic device, and a storage medium. The report generation method comprises: acquiring requirement text information of a report to be generated in a target application scenario; performing requirement intent recognition on the requirement text information, to acquire a report parameter matching the report to be generated; on the basis of the target application scenario, selecting and arranging a preset intelligent agent, to obtain an intelligent agent call chain; on the basis of the report parameter, performing chain-type calling on the preset intelligent agent in the intelligent agent call chain, to generate a report matching the requirement text information. The present method can automatically and quickly generate a report matching a user requirement, effectively increasing report generation efficiency. Using the present method to generate a report does not require manual data acquisition and analysis; efficiency is higher, and costs are lower.

The invention discloses a personal data cross-border circulation method based on a block chain. The method comprises the steps of data acquisition and local storage, third-party neutral institution witness and data fingerprint chaining, data transmission and use authorization declaration, fingerprint verification and data verification on a receiver chain, and full-link tracing and dynamic auditing. Aiming at the problems that trust guarantee of personal data cross-border circulation depends on a single technical means such as centralized institution authentication or encrypted transmission or a static legal protocol, a trust transfer chain is lengthy, and cross-national legal mutual recognition is fragile, a data fingerprint anchoring system constructed based on a block chain is designed; aiming at the problems that traditional data cross-border authorization depends on a manual signing protocol or static strategy configuration, response lag exists, rule execution deviation exists, privacy protection and compliance auditing are difficult to consider and the like, a data use rule is dynamically constrained through an intelligent contract; a user defines a data use range, timeliness and an operation white list through a declarative intelligent contract, and contract codes are automatically executed after being subjected to consensus verification of nodes on a chain.

The invention relates to the technical field of service architecture management, can be applied to business scenes such as financial science and technology, medical health and the like, and discloses a gateway component updating and service migration method which comprises the following steps: selecting a target gateway component, collecting an access configuration data set of a source gateway operation instance, and storing the access configuration data set; registering a service node to a micro-service registration center, generating a service node topology identifier, constructing an interface routing configuration table, and converting the interface routing configuration table into a traffic forwarding strategy mapping table; releasing the source gateway connection based on the mapping table and switching the flow to the target gateway component; and after the migration service node is accessed to the target gateway, executing service response verification, link integrity verification and abnormal trigger detection, and outputting a service availability state identifier, a link tracking log file and an abnormal event trigger record. By fusing topological structure information, protocol parameters and traffic policies, an automatic migration process of configuration synchronization, policy conversion and traffic takeover is realized, and the service stability and the gateway unified management capability are improved.

The invention discloses a multi-level storage control method based on access popularity, and relates to the technical field of information, the method comprises the following steps: building a storage resource monitoring module, and collecting data volume change, read-write frequency and capacity occupation proportion information of each node from a storage system in real time; the method comprises the following steps: collecting original data, carrying out preliminary cleaning and formatting processing on the collected original data to obtain a standardized resource state data set, comparing predicted data with operation parameters of a current storage system, and if a predicted demand exceeds a current capacity limit, automatically generating a capacity expansion scheduling task to obtain a final resource optimization configuration scheme; according to the multi-level storage control method and device based on the access popularity, intelligent monitoring, load balancing and capacity planning of storage resources are achieved, the resource utilization efficiency and expandability of a storage system are improved, and an effective solution is provided for stable operation and performance optimization of a large-scale storage system.

Techniques for verifying authenticity of a cosmetic product using a distributed ledger include generating a transaction including identification information for a cosmetic product indicating a manufacturer of the cosmetic product. The transaction is augmented with a cryptographic signature from the manufacturer to prove the identity of the manufacturer. Additionally, the transaction is transmitted to at least one other participant in a distributed ledger network of participants maintaining the distributed ledger. A unique identifier is embedded on the cosmetic product or on packaging for the cosmetic product that references the identification information for a cosmetic product in the distributed ledger.

The invention discloses a file uploading method and device, a storage medium, electronic equipment and a program product, and relates to the technical field of computer networks and distributed storage, and the method comprises the steps: collecting metadata of a to-be-uploaded file and a network state of an uploading path between a client and a server in real time; calculating the size of a target fragment of the to-be-uploaded file for data uploading between the client and the server through the metadata and the network state; segmenting the to-be-uploaded file based on the target fragment size to obtain a plurality of data blocks; according to the method, the plurality of data blocks are used for uploading the file from the client to the server, and the uploading parameters of the different data blocks are recorded, so that the uploading result of the file to be uploaded transmitted to the server is determined through the uploading parameters, the technical problem that the uploading efficiency and robustness of the object storage system are poor is solved, and the uploading efficiency of the object storage system is improved. The technical effect of improving the uploading efficiency and robustness of the object storage system is achieved.