1433 results about "User identifier" patented technology

An embodiment includes receiving, from a device, at an authentication service, a dynamic user identifier having a one-time password in an authentication message constructed to carry the dynamic user identifier in place of a pre-determined user identifier of a user. The embodiment locates in a profiles database, using a customized search query with a code based on the dynamic user identifier, a user profile. The embodiment receives at the authentication service, a secondary identification data of the user including a biometric information of the user. The embodiment validates the biometric information using the user profile and enables, when the validating is successful, the device to perform an operation. The enabling is not based on the authentication service validating an entirely static user identifier and is not based on the authentication service validating a manually typed password.

A method of automatic pre-prompt generation includes receiving at least one user preference from a user device, modifying a system prompt for a machine-learning language model based on the received at least one user preference to generate a modified system prompt, providing the modified system prompt as an initial input to the machine-learning language model, receiving a natural-language text prompt provided by the user to a chat application on the user device, receiving a user identifier from the user device, querying a first database with the user identifier to retrieve first information, generating a representation of the first information and the natural-language prompt, querying a second database using the representation to retrieve second information, and generating a modified text prompt based on the natural-language prompt, the first information, and the second information.

Techniques and systems are described that perform automated identification and retrieval of contextual information for quick and accurate processing of user queries by artificial intelligence generative models. The techniques include receiving a natural language (NL) query associated with a user identifier (ID) and obtaining, using a first NL generative model, contextual data that is pertinent to the NL query and is associated with the user ID. The techniques further include generating an augmented NL query that is based on the NL query and the contextual data. The techniques include communicating the augmented NL query to a recipient that includes the first NL generative model, a second NL generative model, or a user session associated with the user ID.

The invention provides a post-quantum collaborative signature method and device based on key segmentation and a medium, and relates to the technical field of information security. The method comprises the following steps: acquiring segmentation public keys and segmentation private keys of a plurality of collaborative users; according to the user identifiers of the plurality of collaborative users, respectively calculating binding information of the plurality of collaborative users for the signature fragments of the to-be-sent message; according to the segmentation private key and the binding information of each collaborative user, calculating a signature value of each collaborative user for the signature fragment; generating a target signature of the to-be-sent message according to the signature values of the plurality of collaborative users for the signature fragments; and verifying the target signature and outputting the target signature according to the segmented public keys of the plurality of collaborative users. According to the invention, the security and reliability of the collaborative signature can be improved.

Techniques and systems are described that perform automated identification and retrieval of contextual information for quick and accurate processing of user queries by artificial intelligence generative models. The techniques include receiving a natural language (NL) query associated with a user identifier (ID) and obtaining, using a first NL generative model, contextual data that is pertinent to the NL query and is associated with the user ID. The techniques further include generating an augmented NL query that is based on the NL query and the contextual data. The techniques include communicating the augmented NL query to a recipient that includes the first NL generative model, a second NL generative model, or a user session associated with the user ID.

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 user management notification method and device for a graph database document site, and belongs to the technical field of graph databases. The method comprises the steps that a pre-configured target notification group name set is acquired, and a target notification group is associated with the access permission of the graph database document site; capturing an administrator event, and identifying whether a current event is an association creation event for adding a user into a user group; in response to the event identified as the association creation event, analyzing the event data, extracting a group identifier and a user identifier, and querying group attribute information according to the group identifier to obtain a group name; if the obtained group name belongs to the target notification group name set, querying user attribute information according to a user identifier to obtain a user name and user contact information; and constructing a notification message containing the user name and the name of the target notification group to which the user name joins, and sending the notification message to the user. The permission change notification can be automatically sent to the user when the administrator allocates or modifies the permission for the user.

This disclosure relates to data security and cryptography. In one aspect, a method includes updating a user interface of a client device to present user interface controls that enable a user to specify data privacy settings that define how entities collect, store, and use data of the user. The data security system receives a request to modify a data privacy setting for one or more entities from the client device based on user interaction with one or more of the user interface controls. The request includes an ephemeral user identifier for the user and an attestation token. The data security system validates the request using at least the ephemeral user identifier and the attestation token. The data security system transmits data instructing the entity to modify usage of the user data based on the modified given data privacy setting to each of the one or more entities.

The invention discloses a token synchronization method and device based on micro-service, equipment and a storage medium, and relates to the technical field of application software development, and the method comprises the steps: analyzing a target request comprising a first token to obtain token expiration time; and if the current time does not exceed the token expiration time, judging whether the remaining effective duration is greater than a target duration threshold, if the remaining effective duration is not greater than the target duration threshold and a token refreshing mark does not exist, setting the token refreshing mark in the preset cache database, refreshing the token, and issuing an obtained second token to the front-end micro-service, the front-end micro-service accesses the back-end micro-service based on the second token; and calling the independent micro-service to analyze a first token issued by the front-end micro-service to obtain the user identifier, so that the independent micro-service accesses a preset cache database by using a key generated based on the user identifier to obtain a second token, and accesses the rear-end micro-service based on the second token, and enabling the back-end micro-service to transmit the access response information to the independent micro-service for processing. Therefore, the token synchronization efficiency can be improved.

The invention relates to the technical field of chips, in particular to a chip regression test method based on to-be-tested design configurations, electronic equipment and a medium, and the method comprises the steps: automatically generating a test case corresponding to each to-be-tested design configuration through setting chip regression test starting parameters and pre-constructed test case reconstruction information; recording test case states of a regression test preparation process and an operation process which need to record historical information in a database, and optimizing each to-be-tested design configuration to allocate a corresponding resource configuration based on a user identifier, historical regression test information corresponding to a to-be-tested design identifier and a current machine load; and the chip regression test efficiency and accuracy are improved.

The invention discloses a row-level data permission authorization method and device, equipment and a medium, and relates to the technical field of computers. Comprising the following steps: registering basic data into a preset database; configuring a corresponding field management user with a field management authority for the preset service field; creating or updating a record in a user data permission table based on the user permission application to determine a permission relationship between the user identifier and the entity data; registering a service data table and a mapping relation between an entity column and an entity type in the service data table in a preset service field based on a user instruction of a field management user; and dynamically generating a permission filtering condition based on the query SQL and the user identifier so as to generate an SQL statement with permission filtering, and querying corresponding service data from the service data table based on the mapping relationship so as to generate a corresponding query result based on the service data. Therefore, the efficiency and flexibility of line-level data permission authorization can be improved on the premise of ensuring data security.

A computer-implemented method of registering a user identifier in a public key infrastructure comprising a trusted device and a server is provided. The method includes the steps: receiving the user identifier as an input to the trusted device; obtaining a hash value of the user identifier; the trusted device obtaining biometric data comprising a facial image of the user; generating a public key and a privacy preserving data structure using the biometric data, encrypting the user identifier using the public key, and storing the encrypted user identifier as metadata in the privacy preserving data structure, wherein a private key for decrypting the encrypted user identifier can be generated from the privacy preserving data structure using subsequently acquired biometric data comprising the facial image of the user; generating a device token corresponding to the trusted device and obtaining a hash value of the device token, the server storing the privacy preserving data structure uniquely indexed by the hash value of the device token while using the hash value of the user identifier as a primary key, and the trusted device storing the device token.

A system for controlling access to cryptographic resources is disclosed. The system may receive a request to transfer cryptographic resources between users, including a user identifier and a first cryptographic signature. The system may verify the signature and retrieve an encrypted private key from a key vault using the user identifier. A command to sign the request may be transmitted over a private network to a signature device, which may generate a second cryptographic signature using the decrypted private key. The system may receive the second signature, generate a blockchain operation based on the request and signature, and transmit the operation to a blockchain node for commitment. The system may also handle new account generation, storing encrypted keys in jurisdiction-specific databases, and validating blockchain operations against request parameters.

The invention discloses a multi-modal data dynamic reasoning system and method based on a cognitive map, and relates to the technical field of map data management.The method comprises the steps that text, voice and image data input by a user are extracted, user data are analyzed, and a structured interaction record is generated in combination with a user identifier and a timestamp; analyzing historical interaction records, detecting continuous query events of the same user for similar questions, gathering negative feedback signals, analyzing repetition frequencies of repeated events in the used user, and analyzing feedback intensity coefficients of output repeated behaviors; positioning corresponding nodes in the cognitive map according to the repeated behavior characteristics, analyzing attenuation coefficients, activating associated alternative reasoning paths, and outputting a to-be-updated node set and candidate paths; and adjusting the node weight based on the attenuation coefficient, updating the weight according to the semantic relevancy of the candidate path, updating the atlas connection relationship, and outputting the optimized cognitive atlas. Abnormal conditions are identified, the knowledge graph node weight is adjusted, and the analysis accuracy is improved.

Certain aspects of the present disclosure provide techniques for a UE with multiple universal subscription identity modules (i.e., a multi-USIM device) or concurrent radio access technology (C-RAT) capabilities to receive and respond to a page from a network of a first USIIM of the UE while not activating a receiver on that network by receiving the page (from the network of the first USIM) on a receiver active on a network of a second USIM. A method that may be performed by a user equipment (UE) includes sending a request to register for paging events in a registration request message to an access and management function (AMF) of a network of a first universal subscriber identifier module (USIM) of the UE; sending a paging public user identifier (PPUID) of the UE, in a protocol data unit (PDU) session, to a paging server via a network of a second USIM of the UE, wherein the paging server is associated with the network of the first USIM; and receiving a message associated with the first USIM via the PDU session or another PDU session via the network of the second USIM.

The invention relates to a computer storage device, system, and method for secure offline authentications. An authentication device receives an authentication attempt from a user mobile device, decrypts an encrypted user identifier, and receives a two-factor authentication (2FA) code from a user. The device validates the authentication attempt based on the decrypted user identifier and the received 2FA code offline. The device tracks the number of validated authentication attempts and compares it to a threshold. When the number of validated authentication attempts exceeds the threshold, the 2FA code is automatically shared with a second computer storage device, allowing the user to validate an authentication attempt with both devices without inputting the 2FA code. The same entity controls both the computer storage device and the second computer storage device.

At least one aspect of the technical solutions described herein relate to a system. The system can include one or more processors coupled with memory. The system can receive a message can include an identifier of a browser extension executing on the client device and a user identifier of a software-as-a-service (SaaS) application. The system can bind a subdomain identifier with the identifier of the browser extension. The system can transmit a uniform resource identifier (URI) including the subdomain identifier to the client device. The domain name service (DNS) request can include a host identifier of the client device. The system can access a DNS log of the DNS system to identify the host identifier using the subdomain identifier. The system can bind the identifier of the browser extension and the user identifier with the host identifier of the client device.

The invention relates to the technical field of log detection, in particular to a real-time anomaly detection and tracing method and system for a cloud storage log, and the method comprises the following steps: calculating an authentication failure proportion based on a user identifier and an internet protocol address, constructing a proportion change sequence, comparing an abrupt change threshold, screening candidate sections, fitting a slope, and aggregating anomaly records; calculating a fluctuation difference sequence, extracting a causal fracture node, recombining a subsequence graph, extracting a cross-node record and correcting a timestamp, connecting a transmission edge based on the timestamp, and accounting time consumption to construct a traceability path. According to the method, the serious defect that a fixed threshold value cannot sense system load fluctuation is overcome by constructing a dynamic proportion change slope, a causal fracture node is established to drive log atlas recombination so as to break an information barrier of a cross-node distributed environment, and a median function is used for correcting time migration to eliminate disorder interference caused by clock asynchronization; and the accurate risk tracing is realized by connecting the correction timestamp with the access transmission edge.

Systems and methods for verifying digitally secured communications between users are disclosed herein. A first user identifier for a first user may be received. A first blockchain address for the first user based on the first user identifier may be determined. A first non-transferable token corresponding to the first user may be generated. A request for a communication may be received. A target address and a target user identifier may be extracted. Whether the communication metadata matches the token metadata may be determined. A validation status for the communication may be determined.

A method of automated technical support includes receiving a natural-language prompt from a user device and a user identifier corresponding to a user of the user device. The natural-language prompt includes a natural-language description of at least one technical problem. The method additionally includes querying a chat history database with a query including at least one of the user identifier, a representation of the natural-language response, and at least one keyword extracted from the natural-language prompt. At least one chat history segment from the chat history database is received in response to the query, and an augmented prompt is generated based on the natural-language prompt and the chat history segment. A natural-language technical support plan responsive to the at least one technical problem is then generated through execution of a language model based on the augmented prompt.

Systems and methods of verifying utilization of a blockchain registered container at POS are presented. In one exemplary embodiment, a method is performed by a POS system having a sensing device operable to sense an identifier specific to a container configured to transport items after checkout. The POS system is communicatively coupled to a blockchain network that includes network nodes that are collectively configured to operate a blockchain. The container identifier is specific to a cryptographic digital asset stored on the blockchain as a container identifier code. Further, the cryptographic digital asset includes a user identifier code, with the container identifier code and the user identifier code being included in a transaction entry of a block on the blockchain that is associated with the cryptographic digital asset. The method includes sending, to the blockchain, a request for block data associated with the cryptographic digital asset based on the container identifier.

The invention relates to the technical field of data processing, and provides a full-chain data closed-loop private domain traffic reaching method, which comprises the following steps of: accessing data of a multi-heterogeneous private domain contact through an edge node, associating dispersed data to a user identifier in combination with an identity mapping mechanism, and constructing a complete private domain data stream; user state vectors are generated through feature fusion of time sequence analysis and machine learning, the problem of data islands is solved, and data support is provided for accurate touch; based on the user state vector, the historical reaching effect feedback data and the real-time scene information, a reaching decision instruction is generated through reinforcement learning, and dynamic matching between a reaching strategy and the user state and between the reaching strategy and the real-time scene is achieved; and meanwhile, through recording whole-chain behavior data after the user reaches, constructing a causal attribution graph, combining anti-fact reasoning to quantify the value contribution degree and the negative feedback attribution weight of the reaching action, and converting the value contribution degree and the negative feedback attribution weight into a reward signal and a penalty factor of reinforcement learning, dynamic updating of reinforcement learning network parameters is realized.

The invention provides a product advertisement putting method and system. Relates to the technical field of advertisement putting, and comprises the following steps: obtaining product advertisement putting data with a timestamp from an e-commerce platform, a mobile application and an advertisement media, and carrying out cross-terminal association on the product advertisement putting data and a user identifier to form a multi-source data set so as to optimize product promotion, advertisement putting and marketing strategies and improve commercial benefits. According to the product advertisement putting method and system, the interest, the purchase intention and the cross-channel activeness of the user can be reflected more accurately through cross-terminal association of the multi-source data and construction of the multi-dimensional audience portrait, so that the target audience can be matched more accurately during advertisement putting, the advertisement effect is improved, and meanwhile, the user experience is improved. The combination of the incremental transformation prediction model and the multi-target reinforcement learning decision engine enables the advertisement putting strategy to be adjusted in real time, and improves the putting real-time performance and the rate of return on investment.

The invention discloses a marketing activity-associated batch digital certificate generation and distribution method and system, and relates to the technical field of digital certificate generation, and the method comprises the steps: receiving a marketing activity arrangement rule, and screening a target user identifier list from a user database according to the marketing activity arrangement rule; based on the target user identifier list, generating a digital certificate record for each target user, constructing a lightweight Merkel tree based on target data of the digital certificate records, and performing calculation to obtain Merkel tree root hash; submitting the Merkel tree root hash to a block chain network for evidence storage, and obtaining an evidence storage transaction hash which is hash with the Merkel tree root; and distributing the digital certificate records to the users in the target user identifier list. According to the method, the zero-knowledge proof with hidden detail information is generated based on the certificate record and the Merkel path proof during verification, and the verification operation is executed to update the state after verification is passed, so that efficient generation, credible distribution and privacy protection verification of batch certificates are realized.

Various aspects of the present disclosure relate to a network system, user equipment (UE), method, and processor for wireless communication that supports rich data call establishment. The network system receives a message from an originating UE, and a first network entity obtains, from a second network entity, headers, payload, with token claims of a personal assertion token (PASSporT) extension for rich call data, and a private key certificate associated with a user identifier contained in the message. The first network entity creates a signature and at least one header of the PASSporT extension for rich call data, adds the signature in a first Session Initiation Protocol (SIP) header to the message, and transmits the message with the header to a third network entity for verification. When verified, the message with a second IP header is forwarded to a terminating UE to establish an IMS session with the originating UE.

The embodiment of the invention provides an anomaly detection method and device, equipment and a computer storage medium, and the method comprises the steps: obtaining a request feature corresponding to a user request when the user request is detected, obtaining a counting weight corresponding to the request feature according to preset detection configuration, calculating the number of weighted requests of the user request based on the counting weight, and obtaining the number of weighted requests of the user request; and within a preset time period, accumulating the weighted request times of the user requests based on the user identifiers of the user requests to obtain accumulated request times, when the accumulated request times are greater than a first quantity threshold value, confirming that the user requests are abnormal requests, selecting corresponding detection configurations for different user requests, and determining that the user requests are abnormal requests. According to the method and the device, the user requests are subjected to weighted counting according to the request features, the features of the abnormal traffic are increased, the DDoS attack can be identified more accurately by adopting the weighted accumulated request times, and the detection effect of the abnormal traffic is improved.

Application integration for web payments is described. In an example, a peer-to-peer (P2P) payment platform can present, via a web browser, a merchant web page that includes an actuation mechanism for selection of a payment making platform for making a payment for a transaction. The peer-to-peer (P2P) payment platform detects interaction with the actuation mechanism and presents a prompt for a user identifier via the web browser. The peer-to-peer (P2P) payment platform sends the user identifier (which is associated with an account of the user) to the payment making platform and receives an indication of the user account from the payment making platform. Based on the indication and the transaction data, the peer-to-peer (P2P) payment platform transfers funds from a stored balance of the user to a merchant account of the merchant. The peer-to-peer (P2P) payment platform presents at least a portion of the transaction data.

The invention discloses a mobile communication network problem analysis method and apparatus, and an electronic device. The method comprises the following steps: firstly, acquiring complaint data, signaling data and network performance index data in a mobile network management system; the complaint data carries a mobile communication network problem, and the signaling data, the network performance index data and the complaint data are associated through a user identifier; determining a resident area of the user according to the signaling data; and determining a cell with poor user perception quality according to the complaint data, determining a target cell according to the resident area and the cell with poor user perception quality; screening out performance index data of the target cell from the network performance index data; identifying abnormal data from the performance index data of the target cell based on a preset threshold value; and finally, based on the abnormal data, performing root cause positioning on the mobile communication network problem so as to complete the analysis of the mobile communication network problem. According to the method, the mobile communication network problem and the root cause thereof can be accurately identified.

The embodiment of the invention provides a watermark embedding method and device suitable for a diffusion model, equipment and a storage medium. The method is applied to the technical field of image generation, a watermark set is constructed, watermark information is randomly extracted from the watermark set and input into a pre-trained diffusion model, and each piece of watermark information in the watermark set is in one-to-one correspondence with a user identifier; the parameters of the middle layer of the pre-trained diffusion model are adjusted through a preset fine adjustment module, a fine-adjusted diffusion model is obtained, and the fine adjustment module comprises a convolution layer, a self-adaptive average pooling layer, a first full-connection layer, a second full-connection layer and a third full-connection layer; and embedding the input watermark information into a generated image of the diffusion model by using the fine-tuned diffusion model to obtain a target output image, the target output image including the watermark information. According to the method, the watermark information is embedded in the process of generating the image by the diffusion model, so that the calculation cost is reduced, and the watermark embedding stability and reliability are improved.