408 results about "Resource identifier" patented technology

The invention relates to a digital resource sharing method and system based on a pedigree mapping relation, and belongs to the technical field of enterprise digital resource management, and the resource sharing method comprises the steps: obtaining multi-source heterogeneous data from an internal distributed system of an enterprise through a preset interface protocol; performing standardization processing on the multi-source heterogeneous data to generate a structured resource pool; a graph dictionary module is constructed, the resources in the structured resource pool are subjected to association topology analysis, and a resource relation topological graph is output; establishing a pedigree relationship between resources and business scenes based on the three-dimensional mapping model, respectively generating and fusing a business process demand map, a production stage demand map and a product capability matching map, and constructing a visual digital resource capability platform; and outputting the target resource identifier and the associated path in response to a resource calling instruction input by a user. Integration and sharing of internal and external multi-source heterogeneous data of an enterprise can be realized, the problem of data islands is solved, and meanwhile, the intelligent degree of a resource management system is improved.

HyperText Markup Language (HTML) content analysis (HCA) using machine learning is described. A feature vector schema may be generated based on domain names corresponding to HTML webpages and corresponding indications of a status of the HTML webpage. The schema may map each position in a feature vector of a given HTML webpage to a resource identifier. Information may be processed using the schema to generate respective feature vectors. The feature vectors may be used to train a model to generate risk indicators for HTML webpages. A potentially parked domain webpage or a potentially malicious domain webpage may be received. A feature vector for the webpage may be generated and inputted to the model. The model may generate a risk indicator for the webpage. The risk indicator may be output and may cause responsive actions. The model may be updated based on a determination indicating whether the webpage was a parked domain webpage or a malicious domain webpage.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The invention provides a multi-level dynamic data access control method and device based on a credential environment, and the method comprises the steps: obtaining a data access request initiated by a user and associated environment state information, carrying out the multi-factor authentication processing of a user identity, and combining the pre-stored user role attribute information and responsibility division data, thereby achieving the multi-level dynamic data access control. Generating an initial permission set of the user for the data resource identifier; extracting historical access behavior records of the user in the credential environment to generate historical access behavior characteristics, extracting real-time state characteristics in combination with the environment state information, performing association analysis on the historical access behavior characteristics and the real-time state characteristics, and generating a risk assessment result of the user access behavior; and adjusting access permission configuration of the user to the data resource identifier, generating a permission control instruction, and executing permission control operation of accessing the data resource identifier by the user. According to the method, the accuracy, the dynamic adaptability, the safety and the reliability of data access control in the credential environment are improved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive configuration information for a sounding reference signal (SRS) resource set, the configuration information indicating a usage type for the SRS resource set associated with Doppler tracking and a configuration for one or more associated SRS resource identifiers. Some configuration parameters of the SRS resource set and the associated SRS resource identifiers can be dynamically reconfigured in order to allow adaptive SRS time domain pattern for enhanced Doppler parameter estimation and / or synchronization loop tracking, among other examples. The UE may transmit one or more SRSs in accordance with the configuration or dynamic reconfiguration information for the SRS resource set and the associated SRS resources based at least in part on receiving the configuration and / or reconfiguration information. Numerous other aspects are described.

The invention belongs to the technical field of informatization management, and provides a unified authority management method and system, electronic equipment and a medium, and the method comprises the steps that an application management module generates an application system ID based on application system information; the resource management module generates a resource identifier based on the resource information; the role management module creates roles; establishing an association relationship between the role and the role permission range; the user management module creates a user account; the authorization management module receives an authorization request carrying the user account and the corresponding role, and establishes an association relationship among the user account, the corresponding role and the role permission range by using the association relationship; the authorization management module accesses the request, and pushes an application to the user account by using the access address; and according to the association relationship among the user account, the corresponding role and the role permission range, authorizing the corresponding operation permission to the user. By defining the relationship among applications, roles, users and resources, centralized and refined authority management of a plurality of background systems of an enterprise can be realized.

The invention provides an intelligent recommendation scheduling method and system for training resources, and relates to the technical field of data processing, and the method comprises the steps: obtaining a position data set and a resource data set, determining a subject association relationship and a position mapping relationship according to the position data set and the resource data set, extracting subject constraint information and position dependence information, performing time matching on the training demand duration and the resource available duration of each subject to obtain a candidate scheduling pair group set, performing resource conflict detection, removing conflict pair groups in the candidate scheduling pair group set, sorting the candidate scheduling pair groups according to position dependence information, extracting a candidate resource set corresponding to each subject, calculating a score value of each candidate resource to obtain a resource score set, and performing resource scheduling on the candidate resource set according to the score value of each candidate resource. And selecting the resource identifier with the maximum score value in each subject as a recommended resource to obtain scheduling plan data. According to the invention, the resource scheduling can be comprehensively judged under the condition of limited resources.

Systems and methods are described relating to a credential exchange service (service) for providing customizable access to protected resources. A service may receive a user token generated by an identity provider and a resource identifier and determine a set of attributes of the user based on information indicating the user's association with an account associated with the resource. The service may generate a session token for interacting with the resource by: generating a set of tags based on attributes of the user, and attaching the set of tags to the session token. Upon receiving a request to perform a first action with respect to the resource and the session token, the session token may be used to authorize the user to perform the first action by comparing the set of attributes from the set of tags from the session token to an access policy associated with the resource.

The invention discloses a deep network security data protection strategy optimization method fused with behavior analysis, which relates to the technical field of network security data protection, and comprises the following steps of: converting a resource identifier, an access timestamp and an access frequency of each access behavior into three-dimensional quantitative vectors by constructing an access behavior time mapping table; carrying out aggregation matching on the access behaviors with the same resource identifier and the access frequency lower than a set threshold value in different time periods, and determining multiple low-frequency interleaving access behavior characteristics occurring for the same resource object in a discontinuous time period; and constructing a cross-cycle risk assessment path with continuity and context relevance by using time sequence backtracking, a resource object merging strategy and a context semantic nesting mechanism according to the determined multi-time low-frequency interleaving access behavior characteristics. According to the method, the problem that low-frequency interlaced attack behaviors are difficult to identify is solved, and cross-cycle risk modeling and intelligent optimization of a protection strategy are realized.

The invention provides a resource access method and device, a zero-trust platform and a storage medium, and the method comprises the steps: receiving an internal resource access request of a zero-trust client, the access request carrying an access address of a target resource, user information of the zero-trust client, and temporary authentication information; the access address comprises a zero-trust platform domain name and a target resource identifier, the zero-trust platform domain name points to a public network address of the zero-trust platform, and the target resource identifier is used for uniquely identifying a target resource; the temporary authentication information is used for authenticating that the zero-trust client has the qualification of initiating the access request; based on the user information and the temporary authentication information, verifying the user identity and the access authority of the zero-trust client; after the verification is successful, determining a real address of the target intranet server based on a pre-configured mapping relationship between the real address of the intranet server and the internal resource identifier; and forwarding the access request to the target intranet server according to the real address of the target intranet server.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive configuration information for a sounding reference signal (SRS) resource set, the configuration information indicating a usage type for the SRS resource set associated with Doppler tracking and a configuration for one or more associated SRS resource identifiers. Some configuration parameters of the SRS resource set and the associated SRS resource identifiers can be dynamically reconfigured in order to allow adaptive SRS time domain pattern for enhanced Doppler parameter estimation and / or synchronization loop tracking, among other examples. The UE may transmit one or more SRSs in accordance with the configuration or dynamic reconfiguration information for the SRS resource set and the associated SRS resources based at least in part on receiving the configuration and / or reconfiguration information. Numerous other aspects are described.

The invention discloses a method and device for safely accessing industrial control equipment to a public test platform, and the method comprises the steps: carrying out the initialization of the public test platform, including the generation of a public and private key pair, the configuration of a digital certificate, the configuration of a Bloom filter, the selection of a hash function set matched with the Bloom filter, and the construction of a controlled resource identifier set; the public test platform receives registration information of the industrial control equipment, grants a corresponding authority to the industrial control equipment according to the registration information, generates a minimum authorized resource set corresponding to the authority, writes the minimum authorized resource set into the Bloom filter, and stores identity information of the industrial control equipment; the public testing platform performs bidirectional authentication of the public testing platform and the industrial control equipment based on an authentication request initiated by the industrial control equipment, and dynamically updates authentication information held by the public testing platform and the industrial control equipment respectively; and after the bidirectional authentication is completed, the public test platform performs access admission judgment on a resource access request initiated by the industrial control equipment by using a bloom filter based on the controlled resource identifier set and corresponding authority granted to the industrial control equipment. The invention aims to solve the problems that the current industrial control equipment in a large-scale access scene is weak in authentication anti-attack capability, a secret key is easy to leak and counterfeit, physical attack protection is insufficient, communication lacks forward and backward security, and a resource authorization mechanism does not have a fine granularity and minimum authorization principle.

The invention provides a Web AP I asset automatic mining system and method based on an IAST technology, and the system comprises a flow agent module which is used for capturing original flow data between a Web client and a server through a flow bypass agent; the flow cleaning module is used for cleaning and filtering the original flow data and screening out target flow data related to the Web AP I request; the framework identification module is used for identifying the framework type of the Web AP I request according to the data characteristics of the target flow data; the information extraction module is used for extracting asset information in the Web AP I request according to the frame type of the Web AP I request, and the asset information comprises an authentication parameter, a resource identifier and an authority identifier; and the asset library module is used for storing the asset information after duplicate removal and providing a management interface.

The invention relates to the technical field of cloud computing and distributed systems, and provides a universal metering method for a cloud computing platform, which comprises the following steps that: a reporting end acquires original metering data in real time, and constructs a service resource unique identifier MRN; the metering prepositive service executes Hash calculation on the MRN, generates a Hash value, performs idempotent verification and writes original metering data passing the verification into a message queue; the metering service asynchronously pulls the original metering data from the message queue in batches, and performs sub-library and sub-table routing based on the hash value; and performing aggregation processing on the original measurement data according to the aggregation dimension, writing a generated aggregation record into an aggregation task database table, and generating a corresponding aggregation MRN which is used for supporting account period bill generation, detail checking and compensation charging processing when a charging service executes bill query or recharging operation. The problems of write-in blocking, read-write competition, resource bottleneck and the like in a high-concurrency environment are effectively solved, and high throughput and flood peak reduction of metering are achieved, and metering and charging are accurate, free of leakage and reliably isolated.

The invention provides a secure MCP protocol authentication method and system, and relates to the technical field of information security, and the method comprises the steps: based on a processing result that agent identity authentication is successful and digital signature verification is passed, an MCP server analyzes a target resource identifier, constructs a resource access instruction containing agent identity information, an operation instruction and a new timestamp, and sends the resource access instruction to a server; performing digital signature by using the private key of the server, and sending an access request containing a server digital certificate, a digital signature and a resource access instruction to the target resource; and the target resource receives the access request, verifies the legality of the digital certificate of the MCP server, verifies the digital signature by using the public key of the server, and verifies the integrity and timeliness of the resource access instruction. According to the method, the multi-entity interaction security based on the MCP protocol is improved, and a solid guarantee is provided for trusted communication among the intelligent agent, the server and the target resource.

The embodiment of the invention discloses an interaction method and device for an OCFS2 cluster service and a block storage service, and the method comprises the steps: receiving a volume operation request through the block storage service, carrying out the analysis of the volume operation request, and determining a request type and a resource identifier; initiating a corresponding lock request to a distributed lock manager of any OCFS2 cluster service through the block storage service according to the request type; performing lock conflict detection on the lock request through the distributed lock manager, and granting a corresponding lock permission to the target resource when a lock conflict detection result is no conflict; executing a corresponding target operation on the target resource through the block storage service according to the lock permission and the resource identifier; according to the scheme, the problem that the interaction reliability of the cloud operating system is low is solved, the OCFS2 cluster service of any node can execute the target operation on the target resource in the OCFS2 cluster file system based on the volume operation request, normal interaction of other nodes is not affected by a single node fault, and the interaction reliability in the cloud operating system is remarkably improved.

The invention provides a courseware processing method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: responding to an operation of selecting a target courseware page, and displaying the target courseware page and at least one courseware recommendation resource identifier; wherein each courseware recommendation resource identifier points to one courseware recommendation resource, and the courseware recommendation resource identifier is obtained according to the courseware content and context information of the target courseware page; and in response to a selection operation on a target courseware recommendation resource identifier in each courseware recommendation resource identifier, displaying a target courseware recommendation resource corresponding to the target courseware recommendation resource identifier in the target courseware page.

The embodiment of the invention discloses a virtual resource processing method and device, computer equipment and a computer readable storage medium. According to the scheme, the container interface corresponding to the first container of the first account is displayed on the graphical user interface, the first container is used for storing at least one virtual resource, and the resource identifier corresponding to the at least one virtual resource is displayed on the container interface; in response to a first operation for a target resource identifier in the resource identifiers, displaying a container identifier corresponding to at least one second container of the first account on a graphical user interface; and in response to a second operation for a target container identifier in the container identifiers, transferring a target resource corresponding to the target resource identifier from the first container to a second container corresponding to the target container identifier. In this way, the transfer efficiency of the virtual resources among different containers can be improved, and therefore the game experience of players is improved.

The invention relates to the technical field of electric digital data processing, and discloses a data processing system for message management, which comprises a look-ahead buffer unit for maintaining a sliding window with variable window size parameters and pre-reading a message sequence; the mapping logic circuit is used for converting the resource identifier into a resource request mask; the state register is used for storing a global occupancy bitmap for representing resource occupancy; the scheduling controller is used for distributing messages according to bit operation results, counting bitmap setting quantity based on the population counting instruction to generate a resource saturation index, and then adjusting window size parameters in a negative feedback mode. The resource contention entropy value is directly sensed by utilizing a hardware instruction, nanosecond-level self-adaptive breathing control of a scheduling window is realized, and the service life of the scheduling window is prolonged. The problem of physical computing power collapse caused by bitmap scanning jitter in a high-concurrency scene is solved.

The invention discloses a centralized management system operation and maintenance server, which is deployed in a data center or a cloud platform and is used for performing centralized operation and maintenance management on target hosts in a plurality of service systems. The system operation and maintenance server comprises a resource registration module, a monitoring acquisition module, a configuration management module, a task arrangement module, an alarm and self-healing module, an operation and maintenance auditing module, an interface management module and an identity authentication and authority control module. The resource registration module is used for receiving information of a target host and a business system to which the target host belongs, generating a unique resource identifier and establishing a resource information base; the monitoring acquisition module issues a monitoring acquisition strategy based on the resource identifier and acquires monitoring index data and an operation log; the configuration management module performs difference comparison on the current configuration and the configuration baseline, and issues a configuration template and performs configuration version management after confirmation; and the task arrangement module arranges the atomic operation and maintenance operation into a task execution plan containing an execution sequence and a rollback strategy.

The invention discloses a cloud platform automatic inspection method and system based on multi-dimensional intelligent analysis. By collecting resource metadata, performance indexes, logs and change events, a unified event object containing resource identifiers, event timestamps, association keys and credibility scores is generated, and out-of-order rearrangement and layered missing compensation are completed based on event time water level lines. Second-level and minute-level multi-granularity dynamic baselines are constructed for the key indexes, drift detection is carried out, and the exception score is calculated by fusing the super-boundary amplitude, the change rate, the duration and the cross-index consistency. And constructing a resource dependence topology with credibility and aging attenuation, introducing a time-delay consistency constraint to carry out contribution degree attribution and cut candidate root causes, fusing a Bayesian network and a fault knowledge graph and combining a historical fault library to update a prior probability positioning root cause on line, and outputting an interpretable link. Implempotent self-healing execution, acceptance and rollback closed loop are realized according to risk access control, the positioning accuracy is improved, and the fault recovery time is shortened.

The invention discloses a storage device and method for an artificial intelligence operation and maintenance robot, which are deployed in a data center or a cloud platform and are used for carrying out centralized operation and maintenance management on target hosts in a plurality of service systems. The system operation and maintenance server comprises a resource registration module, a monitoring acquisition module, a configuration management module, a task arrangement module, an alarm and self-healing module, an operation and maintenance auditing module, an interface management module and an identity authentication and authority control module. The resource registration module is used for receiving information of a target host and a business system to which the target host belongs, generating a unique resource identifier and establishing a resource information base; the monitoring acquisition module issues a monitoring acquisition strategy based on the resource identifier and acquires monitoring index data and an operation log; the configuration management module performs difference comparison on the current configuration and the configuration baseline, and issues a configuration template and performs configuration version management after confirmation; and the task arrangement module arranges the atomic operation and maintenance operation into a task execution plan containing an execution sequence and a rollback strategy.

The invention discloses a system call behavior modeling method based on a graph neural network, and the method comprises the following steps: S1, collecting system call event data, and carrying out the standardization processing of a resource identifier to generate a uniform resource identifier; s2, constructing a double-layer hypergraph model based on a uniform resource identifier, and jointly establishing a calling-resource layer and a constraint layer; s3, executing graph neural network modeling on the double-layer hypergraph model, and fusing two layers of embedding to generate a unified representation; s4, calculating joint loss and optimizing parameters of the double-layer hypergraph model by utilizing unified representation in a training stage; s5, adopting a reversible sliding window in a reasoning stage, outputting an abnormal score and generating a structure reconstruction plan; and S6, generating an anti-fact explanation based on the structure reconstruction plan, and outputting a calling set and a related identification sequence. According to the method, the double-layer hypergraph is constructed, and the graph neural network is combined for modeling, so that accurate detection and interpretable analysis of the system calling behavior are realized.

Embodiments of the present disclosure relate to supporting API prefix in callback URI. A first first device is provided comprising at least one processor and at least one memory storing instructions. The at least one memory and the instructions are configured to, with the at least one processor, cause the first device at least to: receive, from a second device, a service request message, wherein the service request message comprises a first callback Uniform Resource Identifier, URI, with a first Application Programming Interface, API, prefix; in response to determining that the second device is not reachable, send, to a third device, a discovery request for discovering a further second device instance; receive, from the third device, a discovery response; determine a second callback URI based on the discovery response; and send to the further second device instance a callback request message based on the second callback URI.

Techniques are disclosed for rotating resource identifiers within a region network. An identities service can receive a first request for a first identifier of a software resource within the region network from a client node. The identities service can generate the first identifier based at least in part on first attributes and send the first identifier and a first caching instruction to the client node. The identities service can receive an identity rotation instruction that includes information usable by the identities service to provide a second caching instruction in response to requests for software resource identifiers. The identities service can receive a second request for a second identifier of the software resource. The identities service can generate the second identifier based at least in part on the second attributes and send the second identifier and the second caching instruction to the client node.

The invention relates to the technical field of data platform resource management, and discloses a data platform resource consumption monitoring system, which comprises a resource identifier generation module, a consumption feature acquisition module, an anomaly judgment module and a response adjustment module. The resource identifier generation module generates a unique identifier corresponding to the key level according to the task access frequency, the data scale and the operation type; the consumption feature acquisition module integrates initial, middle and tail feature acquisition values to form a resource consumption feature verification result; the anomaly judgment module determines an identification anomaly value based on data such as an analysis state and time consumption, and outputs an anomaly monitoring value in combination with a reference value; and the response adjustment module optimizes a resource path by using a multi-dimensional resource exception response model and integrating the key level and historical data. According to the system, dynamic monitoring of resource consumption, accurate abnormity judgment and intelligent path adjustment are realized, and the resource management efficiency and the platform stability are improved.

The invention relates to a multi-stage AI cooperation and closed-loop self-healing video-to-script conversion method, and relates to the digital content creation cross technical field, the method comprises the following steps: obtaining a resource identifier ordered set of a series of videos, the resource identifier ordered set comprises a plurality of identifiers arranged in order, and each identifier corresponds to a video resource; based on the resource identifier ordered set, a preset first AI service model and a preset second AI service model, a first version script set is generated, the first AI service model represents a model with multi-mode video understanding and script generation capabilities, and the second AI service model represents a model with logic induction and information integration capabilities; creating a script verification object for each script in the first version script set, and performing closed-loop intelligent proofreading on each script verification object to generate a target script set. Through multi-stage AI cooperation and closed-loop self-healing, the technical effect of accurate, efficient and logically coherent video-to-script conversion is realized.

Various aspects of the present disclosure relate to reference signal reporting using reference signal resource grouping. An apparatus, such as a user equipment (UE), receives from a network equipment (NE), at least one report setting associated with one or more reference signal resource sets including a set of reference signal resources partitioned into at least two groups of reference signal resources. At least one group of reference signal resources is associated with one or more of a power control offset (power control offset) value per reference signal or a power control offset value per synchronization signal. The UE receives reference signals transmitted over the set of reference signal resources; and transmits, based at least in part on the received set of reference signals, a report including a set of resource identifier values that are compensated based at least in part on the power control offset value.

A method for suppressing subscription notifications to resource update originators includes receiving, by a producer NF and from a first consumer NF, a subscription request message requesting to be notified of changes in a resource. The method further includes creating, by the producer NF in a subscription database, and in response to the subscription request message from the first consumer NF, a record including a resource identifier, a notification URI, and information identifying the first consumer NF. The method further includes receiving, by the producer NF and from a resource update originator, a resource update request message for updating the resource. The method further includes suppressing transmission of a subscription notification request message concerning the resource to a notification URI in a subscription database record when the resource update originator identifying information obtained from the resource update request message matches the information identifying the consumer NF in the database record.

Techniques for creating, managing, and using SSH certificates with one or more target-specific principals are disclosed. A certificate authority receives a certificate signing request that includes both a user identifier and a resource identifier. The user identifier identifies a user, and the resource identifier represents one or more target hosts. The certificate authority forms a target-specific principal for use in creating the certificate. The target-specific principal indicates both the user and the resource identifier representing the resource(s) for which access is requested. The resource identifier may represent a host class associated with more than one host. Once the certificate authority verifies that the user is entitled to access the requested resource(s), it generates the certificate, signs it, and returns it to the requesting device.