886 results about "User identifier" patented technology

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 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 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.

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.

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.

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.

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.

Various embodiments of the present disclosure provide a machine learning request handling technique that improves the functionality of a computer in various aspects. The techniques include receiving a model ensemble prompt request comprising a user identifier and a model prompt. The techniques include generating, based on the user identifier of the model ensemble prompt request, a modular model ensemble that references a plurality of machine learning models. The techniques include generating, based on the model prompt, a plurality of asynchronous model prompts for the plurality of machine learning models, respectively. The techniques include inputting the plurality of asynchronous model prompts to the plurality of machine learning models, respectively, to generate a plurality of candidate model outputs and outputting a model ensemble prompt response that includes a selected output from the plurality of candidate model outputs.

The invention provides an agent memory auditing method and device based on double time axes and a storage medium. The method comprises the following steps: receiving memory data associated with a user identifier, and recording a first time parameter and a second time parameter for each piece of memory data; based on the target time point pair and the memory data, executing dual-time-axis joint judgment to determine an effective memory data set; when new memory data is received, state failure updating is executed on existing memory data corresponding to the new memory data, and the state failure updating comprises the step of updating the end time of the first time parameter of the existing memory data into the start time of the first time parameter of the new memory data in the same transaction, writing new memory data to form a state evolution record; and generating an audit result based on the effective memory data set, and recording an audit log corresponding to the audit request. According to the method, the memory time semantic distinguishing capability can be improved, the historical state backtracking accuracy is improved, and the audit tracing integrity is enhanced.

The invention discloses a central position determination method and apparatus, and an electronic device. The method comprises the following steps: on the basis of deep packet inspection signaling data of an operator, determining feature data of a service cell, the deep packet inspection signaling data at least comprising a user identifier, a service cell identifier and service occurrence time, and the feature data at least comprising stay durations of different users in different service cells; based on the feature data, performing clustering processing on the service cells to obtain a plurality of first clustering results; performing clustering processing on the physical position of the service cell in each first clustering result to obtain a plurality of second clustering results; and determining the central point of the second clustering result according to the mean value of the second clustering result, and determining the position information of the central point. The technical problem that high-precision and low-cost data support cannot be provided for public services due to the fact that the center position of the area cannot be efficiently and accurately determined in the related technology is solved.

One embodiment is related to a method. The method includes receiving from a storage application server computer, a token request message comprising a user identifier associated with a storage application on a user device, and determining a token. The token is a limited use token. The method includes mapping the token to the user identifier, transmitting, a token response message comprising the token to the storage application server computer. The method includes receiving from a processing network computer, a de-tokenization request message comprising the token, after the processing network computer receives an authorization request message comprising the token from a resource provider computer via a transport computer. The method also includes determining the user identifier using the token, and transmitting the user identifier to the processing network computer.

The invention relates to a remote sensing data processing method and device, electronic equipment and a computer program product, and belongs to the technical field of satellite communication. The method comprises the following steps: a remote sensing satellite sends a session establishment request to a ground network, wherein the session establishment request carries a user identifier and a joint task identifier of the remote sensing satellite; the ground network establishes a session, and judges whether the remote sensing satellites belonging to the same joint task have established or have established sessions according to the joint task identifier; if yes, the ground network returns a session establishment response and a data processing instruction of the joint task to the satellite network; and the satellite network performs cooperative processing on the target service data of the remote sensing satellites belonging to the same joint task based on the data processing information in the data processing instruction, and sends a service data packet of the joint task to a ground network through a session of any remote sensing satellite in the joint task. The processing efficiency of the multi-satellite cooperative task can be improved, and the data transmission amount between the satellites and the ground can be reduced.

Methods, systems, and machine-readable media user generative artificial intelligence (AI) to generate a pre-work brief for display on a field service technician mobile device. An instruction to generate a pre-work brief is received. Work order data based on a field service technician user identifier associated with the instruction to generate the pre-work brief is retrieved. A generative AI prompt template is retrieved based on the work order data. A generative AI prompt is generated based on the prompt template and the work order data. The prompt is provided to a generative AI. The pre-work brief is received as an output of the generative AI. The pre-work brief is transmitted to the mobile device of the field service technician.

Time based file access credentials are disclosed herein. For instance authentication data representing a user identifier and a user password associated with the user identifier is received from user input associated with a user identity. In response to determining that the user identifier and the user password are valid and are associated with the user identity and based on first metadata associated the user identity, it is determined that the user identity is authorized to access storage server equipment associated with the authentication server. Furthermore, based on second metadata associated with data resources stored on the storage server equipment, it is determined that the user identity is permitted access to at least one data resource of the data resources.

In some examples, systems and methods for checking data access are provided. For example, a method includes: receiving a checking request about a user, the checking request including a user identifier of the user and a resource indication of a resource; determining one or more components referenced by the resource; for each component of the one or more components referenced by the resource, determining permission information indicating whether the user access to at least a part of the one or more components; and determining permission information indicating whether the user is permitted to access the resource.

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.

A communications system may include a satellite constellation and a terrestrial network. A first user equipment (UE) device may provision sender keys, handles, and / or status information with a core network while connected to the terrestrial network. The core network may accommodate server fan out to a set of other UE devices associated with a particular user identifier. When the first UE device disconnects from the terrestrial network, the first UE device and the set of other UE devices may convey end-to-end encrypted messages through the constellation and the core network. The first UE device may address the set of other UE devices using a short handle associated with the user identifier and / or using a handle index. The first UE device may transmit a control message via the constellation that instructs the core network to release provisioned status information to the set of other UE devices.

The invention relates to the technical field of computers, and discloses a knowledge base-based authority control method, device and equipment and a medium, and the method comprises the steps: obtaining a to-be-accessed target knowledge base and a user identity information set, and carrying out the grading processing of the knowledge content in the target knowledge base through a natural language model, and obtaining a plurality of knowledge categories; determining an initial user identifier corresponding to each piece of initial user identity information in the user identity information set, and establishing a corresponding relationship between each initial user identifier and the knowledge category; receiving an access request of a target knowledge base, determining a target user identifier from the user token information in the access request, and determining an authorized target knowledge category from the corresponding relationship according to the target user identifier; and performing legality verification on the access request, and if the verification is passed, allowing the access request to access the knowledge content corresponding to the target knowledge category. The method can be applied to financial science and technology and medical care service program systems, and fine-grained permission allocation and access verification can be achieved.

Artificial intelligence (AI) techniques for connection networking are described. A method comprises receiving an input vector by a multi-tower machine learning (ML) model for a content delivery system of a connection network system, generating a set of user embeddings from a first vector of the input vector by a first tower of the multi-tower ML model based on the activity data associated with users of the connection network system, generating a set of campaign embeddings from a second vector of the input vector by a second tower of the multi-tower ML model based on the textual description of the content delivery campaign, generate a metric based on a subset of the user embeddings and a subset of the campaign embeddings, selecting audience user identifiers based on the metric, and sending content items for the content delivery campaign to electronic devices of the audience user identifiers.

The invention belongs to the technical field of network security and communication, and provides a secure shell protocol flow evidence obtaining decryption method and system based on key injection, and the method comprises the steps: injecting a user-defined dynamic library into a service process, intercepting a key encryption function, and extracting a session key as a shared key when a secure shell protocol server runs; carrying out session identification on the encrypted traffic in the grabbed network, and completing the recombination of the IP fragment and the TCP fragment to obtain the recombined encrypted traffic; carrying out matching and integrity verification on the shared key and the recombined encrypted traffic, and then decrypting to generate a plaintext message; and analyzing the plaintext message into a structured operation record according to a channel type, and classifying and storing the structured operation record in combination with a timestamp, a session ID and a user identifier to form auditing evidence data. According to the method, system files do not need to be modified, complete decryption and behavior restoration of multiple types of sessions such as Shell, SCP and SFTP can be achieved, and the method is suitable for network security audit and judicial evidence obtaining scenes.

The invention discloses a tourism rail transit passenger flow characteristic analysis method based on mobile phone signaling data, and the method comprises the following steps: S1, collecting and cleaning the mobile phone signaling data of multiple operators, and obtaining the cleaned mobile phone signaling data; s2, performing spatial registration and reconstructing a track according to a user identifier and a timestamp to form a user track sequence; s3, counting passenger flow indexes, constructing a spatial weight matrix and calculating spatial autocorrelation factors; s4, introducing the space factors into a hidden Markov model and training parameters; s5, complementing a missing track, and generating a complete travel state sequence; and S6, analyzing passenger flow indexes, identifying a gathering area, an abnormal area and a diffusion path, and outputting monitoring information. According to the method, the spatial autocorrelation factor is introduced into the hidden Markov model, spatial dependence modeling and state completion are performed on the rail transit passenger flow based on mobile phone signaling data, and accurate identification and monitoring of passenger flow distribution, hot spot areas and abnormal events are realized.

The invention provides a quota resource processing method which can be applied to the technical field of big data. The method comprises the following steps: loading batch transaction data files to a distributed file system; performing parallel processing on the transaction data through a distributed calculation engine, and calculating a quota resource value corresponding to each transaction; calling an online interface to execute quota resource updating operation, and obtaining an interface calling result in real time; if the quota resource update fails, writing the failure type identifier, the user identifier, the transaction identifier and the quota resource value into a quota resource update failure record table; in response to the update of the quota resource update failure record table, reading the abnormal type identifier; if it is determined that the exception type is system exception according to the exception type identifier, executing quota resource retransmission operation; if it is determined that the exception type is constraint overrun according to the exception type identifier, monitoring a quota resource quota change event related to the target object; and in response to triggering of the quota resource quota change event, executing quota resource reissuing operation.

The invention provides a content recommendation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining historical data of a user, the historical data comprising a historical behavior sequence and a user identifier; verifying the historical behavior sequence to generate a target behavior sequence; generating key parameters based on the target behavior sequence; based on the user identifier, the target behavior sequence and the key parameters, utilizing a trained behavior prediction model to perform prediction to generate an interaction behavior sequence, the interaction behavior sequence comprising a plurality of continuous interaction behaviors and attributes corresponding to interaction events generated under each interaction behavior; and recommending a product sequence under the plurality of continuous interaction behaviors to the user based on the attributes corresponding to the plurality of continuous interaction behaviors. According to the method, the capability of capturing the dependency relationship between the user behaviors can be improved, so that the limitation of single-step prediction is avoided.

The embodiment of the invention discloses a database integrity verification method and device based on an operation behavior and a medium, and relates to the technical field of databases, the method comprises the steps that database operation is monitored in real time to extract database operation information, the database operation information comprises an operation type, operation data and an operation context, and the operation type is determined according to the operation type, the operation data and the operation context; the operation context comprises a user identifier, a session identifier and a timestamp; according to the operation data and the operation context in the database operation information, generating a dynamic data fingerprint corresponding to the database operation, and writing the dynamic data fingerprint into the secure storage area; and performing database operation risk assessment based on the database operation information and the dynamic data fingerprints to determine current operation risk information, and performing hierarchical response on database operation through the current operation risk information to realize database integrity verification. Traditional static data verification is upgraded into a security protection mode of dynamic behavior perception, and database security protection is realized through multi-level technology fusion.

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.