63 results about "Web operations" patented technology

In certain embodiments, multisignature-based network operations are performed. Some embodiments may generate transformed instructions for a network operation and a set of sent messages based on an instruction precursor and obtain a set of signed messages corresponding to a set of sent messages. In connection with cryptographic verification of the set of signed messages, some embodiments cause the execution of the network operation based on the cryptographic verification satisfying a threshold number of valid signatures.

Described herein are methods and systems to partially freeze an electronic account associated with a user. The server receives, via a graphical user interface a request to execute a network operation to connect to a webserver. When the server executes the network operation, the server transmits a request for access to the electronic account associated with an electronic application of the user. Once the webserver authenticates the request, the server can receive an indication that the request to access the electronic account has been blocked by the webserver. The server can revise the graphical user interface and authorize the user. Once the user is authorized, the server can cause the webserver to remove the blocked access and provide access to the electronic account. Furthermore, the server can cause the webserver to block future access to the electronic application.

Systems and methods for automatically updating validation rules used to detect and remediate network operation validation anomalies in conglomerate-application-based ecosystems are disclosed. The disclosed anomaly evaluation platform can dynamically monitor a set of document repositories containing specific guidelines for generating validation reports. In response to detecting updates in the guidelines, the anomaly evaluation platform retrieves a communication map defining parent-child relationships between validation rules and generates an updated communication map. The anomaly evaluation platform detects a transmission of a first network operation to a software application, which uses the first network operation to generate a second network operation. The anomaly evaluation platform provides the first network operation, the second network operation, and the updated communication map to an artificial intelligence model to generate a validation report that meets the specific criteria guidelines.

A method for deploying a computing infrastructure (10) having an unpreconfigured server (11) and a switch (12) involves accessing instructions to open software components including a configuration management database (CMDB), a deployment module, a communication module, and a network operating gateway. The CMDB is initialized using information about the server and the switch, and the communication module manages the DHCP interface connection and allows communication between the CMDB and the deployment module. The method computes data used to initialize the CMDB, configures a DNS service, determines configurations for communications and switches, pre-configures a network stack, synchronizes a deployment module with the CMDB to enable a server discovery process, and activates a server that is not pre-configured.

This invention provides a method for providing CNI support for a Docker container engine, relating to the field of container runtime technology. The method includes configuring a custom runtime component docker-cni in the Docker container engine; specifying the custom runtime component docker-cni as the runtime when creating a container and setting it to a network-free mode (none); injecting a pre-start hook and a stop hook into the container's configuration file during the container creation phase; the hooks are used to trigger the custom runtime component docker-cni to perform CNI network operations; when the container starts and triggers the pre-start hook, calling the CNI plugin's add network operation according to the command injected in the pre-start hook to complete the container network configuration; when the container stops and triggers the stop hook, calling the CNI plugin's delete network operation according to the command injected in the stop hook to clean up the container network configuration.

Methods, systems and devices for fractional cooperative multipoint network operation are described. One example method for wireless communication includes determining, by a network device, a cooperative multipoint (COMP) management status of wireless devices served by the network device, and providing, by the network device, wireless connectivity to the one or more wireless devices, wherein the network device jointly manages transmission resources for a first wireless device due to the COMP management status being a joint COMP status and the network device locally manages transmission resources for a second wireless device due to the COMP management status being a local COMP status.

A machine learning model is applied to extract keywords from an event associated with network operations. A keyword vector is constructed where each keyword extracted is represented as a unique dimension in the keyword vector. The keyword vector is compared against event category vectors associated with event categories to identify potential matches. A relevance score is calculated for each category based on the comparing. The event is classified into one or more categories based on the relevance scores exceeding a predetermined threshold. A user interface configured to visually display and obtain feedback regarding the classifying is generated. At least one of the event categories is updated based on a user feedback received via the user interface and machine learning retraining.

A method and apparatus for utilizing microslices in an enterprise wireless communication network to manage and control network performance. The microslice instances are monitored during network operation, for example at communication nodes, functional blocks, and end-to-end to provide Key Performance Indicators (KPIs). These KPI are compared with performance objectives, which may be Service Level Objectives (SLOs). If the performance objectives are not met by the KPIs, then one or more of the microslice instances may be dynamically adjusted until the performance objectives are sufficiently met. Alternatively, the lower priority microslice instances may be dropped (i.e., terminated) until the performance objectives are sufficiently met.

To perform support so that a web element designated as an operation object can be found before change even in the case that a description of a web page is changed.SOLUTION: A storage unit stores a scenario including a web page identifier, an operation object web element identifier, and a web operation to a web element of an operation object, and auxiliary information for specifying the operation object in a web page. A scenario execution unit reads the web page of the web page identifier included in the scenario, and determines whether there is the operation object web element identifier in the read web page. The scenario execution unit selects a new web element of an operation object by analyzing contents of the read web page by using the auxiliary information, and performs web operation written in the scenario to the selected web element in the case of determining that there is not the operation object web element identifier.SELECTED DRAWING: Figure 1

The present teaching relates to AI-enabled auto-heal of network cells. Bundled embedding models are obtained, via machine learning, based on historic records representing knowledge on past dynamics of a network. Each of the bundled embedding models captures a respective aspect of the past network dynamics. When temporal data is received with real time observations of the network operation, metrics on the performance thereof, and a point of failure, embeddings of the temporal data relating to the point of failure are derived, based on the bundled embedding models, and used to generate, by time series forecasting, a recommendation on an auto-heal resolution. When performance information of the network associated with the point of failure is received, it is used for online learning of learnable parameters associated with the time series forecasting.

A system configured for simulating communication loads over a network, the system having: a controller module; an application module, operationally coupled over the network to the controller module, wherein the system is configured to execute a load test over the network with the application module, by: transmitting mock telemetry messages, associated with mock devices, representing internet-of-things (IoT) devices, to the application module, wherein the mock telemetry messages are equivalent to production telemetry messages sent from the IoT devices; and issuing an alert when the system determines that a result of the load test is indicative of errors above a threshold associated with receipt of the mock telemetry messages by the application module.

Presented herein are systems and methods of evaluating network operations associated with computing systems. A server may receive, from a computing system, an electronic request to execute a first network operation using a plurality of attributes provided by an end user device to the computing system. The first network operation may be initiated via the end user device. The server may retrieve (i) a digital fingerprint associated with an identity of the computing system and (ii) a plurality of network operation metrics associated with the computing system. The server may execute, using the digital fingerprint and the plurality of network operation metrics, a machine learning (ML) model to generate a likelihood of fraud caused by the computing system. The server may, in response to the likelihood of fraud satisfying a threshold, execute a second network operation using the plurality of attributes, instead of executing the first network operation.

The invention belongs to the crossing field of artificial intelligence and production manufacturing, and discloses a flexible job shop scheduling method based on a Mama model and a cross attention mechanism, which comprises the following steps: constructing a Markov decision process model; serializing scheduling state characteristics; extracting features of the Mama model and the cross attention backbone network; decision network operation-machine pair selection; and optimizing an arrangement transformation strategy. Aiming at the limitation of feature extraction in a traditional scheduling method based on a graph neural network, the invention provides a scheduling method taking a Mama encoder and a cross attention decoder as a trunk, efficient sequence feature modeling and feature interaction are realized, and then a high-quality solution of flexible job shop scheduling is obtained. According to the flexible job shop scheduling method, efficient sequence modeling and feature interaction can be realized.

A method and apparatus for allocating network resources, including computational nodes available for hosting network functions, such as 4G EPC (Evolved Packet Core) functions and / or 5GC (fifth generation Core) functions. An orchestrator monitors various network operational parameters in order to determine the most efficient allocation of resources (i.e., to determine which computational resources to allocate to hosting which network functions) at each particular point in time based on the network load and resources available.

Discussed herein are methods and systems for dynamically recalibrating machine learning model parameters. In one method, a server executes one or more prediction models to process network operations from various data feeds, in order to identify the likelihood of these operations being fraudulent or malicious. The server monitors performance data, such as the operation and execution metrics of network operations, and evaluates whether the performance values, like recall values, meet defined thresholds. If the performance data fails to meet these thresholds, the server employs a function-generation machine learning model to predict a threshold modification function. This modification function is then applied to adjust the relevant thresholds. Utilizing the modification function, the server dynamically revises one or more parameters of the prediction models to enhance their accuracy and efficacy.

The utility model relates to the technical field of industrial control operating tables, in particular to an industrial control network operating table which comprises an operating table body and an adjusting mechanism, the adjusting mechanism comprises a base, a threaded rod, a threaded cylinder, a limiting assembly, a mounting plate, a rotating plate and a fixing assembly, and the threaded rod is rotationally connected with the base, penetrates through the base and the threaded cylinder and is in threaded connection with the threaded rod; the threaded rod is located in the threaded cylinder, the limiting assembly is arranged above the base, the mounting plate is fixedly connected with the threaded cylinder and located above the threaded cylinder, the rotating plate is rotationally connected with the mounting plate and located above the mounting plate, the operation table body is arranged above the rotating plate, and the fixing assembly is arranged at one end of the rotating plate. The orientation and height of the operation table body can be changed through the adjusting mechanism, so that an operator can use and operate conveniently.

Described herein are methods and systems to partially freeze an electronic account associated with a user. The server receives, via a graphical user interface a request to execute a network operation to connect to a webserver. When the server executes the network operation, the server transmits a request for access to the electronic account associated with an electronic application of the user. Once the webserver authenticates the request, the server can receive an indication that the request to access the electronic account has been blocked by the webserver. The server can revise the graphical user interface and authorize the user. Once the user is authorized, the server can cause the webserver to remove the blocked access and provide access to the electronic account. Furthermore, the server can cause the webserver to block future access to the electronic application.

An automated front-end website user network behavior security detection system includes: a website automated testing module, a front-end code analysis module, a dynamic instrumentation analysis module, and a user behavior analysis module. The website automated testing module interacts with the website code analysis module based on the results obtained from the analysis by the front-end code analysis module and the dynamic instrumentation analysis module. It executes page operations according to the instructions of the website code analysis module and continuously collects newly loaded code, outputting it to the website code analysis module. The front-end code analysis module performs static analysis on the collected front-end code, identifying key elements and network operation-related elements to obtain JavaScript functions related to network operations. The dynamic instrumentation analysis module modifies the browser-loaded front-end code according to the JavaScript functions, inserting logging code into the JavaScript functions and replacing the original front-end webpage code with the instrumented JavaScript code. The website automated testing module simulates user interaction with the website, collecting log information from the instrumented code output, and combining this with the key network behavior-related elements obtained from the front-end code analysis to obtain all potential user network behaviors. This invention achieves comprehensive and real-time monitoring of user behavior through automation technology, and automatically detects and responds to potential security threats.

Discussed herein are methods and systems for dynamically recalibrating machine learning model parameters. In one method, a server executes one or more prediction models to process network operations from various data feeds, in order to identify the likelihood of these operations being fraudulent or malicious. The server monitors performance data, such as the operation and execution metrics of network operations, and evaluates whether the performance values, like recall values, meet defined thresholds. If the performance data fails to meet these thresholds, the server employs a function-generation machine learning model to predict a threshold modification function. This modification function is then applied to adjust the relevant thresholds. Utilizing the modification function, the server dynamically revises one or more parameters of the prediction models to enhance their accuracy and efficacy.

The present invention relates to an interactive method based on augmented reality (AR), a terminal device, a server, a readable storage medium, and a computer program product. The method comprises: a terminal device obtains the identity information ID and location information of a first person through a designated device that appears in a nearby area, wherein the designated device is carried by the first person, and the ID of the designated device is bound to the ID of the first person; the terminal device sends the ID and location information of the first person to a server, so that the server displays a first AR tag near the first person, wherein the first AR tag includes the number of first-category icons and the number of second-category icons corresponding to the first person. Utilizing the embodiments of the present application, it is possible to associate human behavior in the real world with network operations, extend people's interactions from the network to the real world, and record and quantify human behavior.

Methods and systems are described herein for recommending network processing routes when conducting blockchain operations. For example, the system may receive a first user request to perform a first blockchain operation across one or more computer networks to access a first blockchain asset. The system may then determine a first processing characteristic for the first user request and a first plurality of locations of the first blockchain asset (e.g., across the one or more computer networks). The system may then determine a first plurality of network routes to a first subset of the first plurality of locations. The system may then filter the first plurality of network routes (e.g., based on the first processing characteristic) to generate a first subset of the plurality of network routes. Based on the first subset of the plurality of network routes, the system may generate a first recommendation for performing the blockchain operation.

This invention relates to the field of network communication technology, specifically to an intelligent access control method and system based on a zero-trust architecture between microservices, solving the technical problem of poor security protection in existing technologies. The method includes: acquiring the kernel network operation records of a container instance; the kernel network operation records include a set of context information corresponding to network operations triggered by the container instance at the operating system kernel layer; querying the corresponding resource status based on the container instance identifier in the context information set corresponding to the network operation, and calculating the effective quota in conjunction with the triggering time; the effective quota is used to characterize the current network resource budget that the container instance can consume; performing resource consumption matching analysis based on the context information set corresponding to the network operation to determine the actual resource consumption value; the actual resource consumption value is used to characterize the network resource quota required for the network operation; and performing access control decisions on the network operation based on the effective quota and the actual resource consumption value.

A method and system for managing configuration of a computing infrastructure involves accessing instructions for providing network devices and synchronization modules for a network operating gateway to coordinate their configuration. A synchronization module detects and creates a virtual service network using tags and sets of rules associated with objects in the network and replicates endpoints between gateways through data synchronization.

An instream transaction services computer system for executing cross-network operations is provided. The computer system is configured to generate an operation request message based on an identified off-network marketplace provider and an enrichment operation to be applied to a payment transaction message, transmit at least a portion of the operation request message to the identified off-network marketplace provider, receive an operation result, and transmit a response message with the operation result to a requestor.

A storage stores a scenario including a web page identifier, an operation target web element identifier, and a web operation on the operation target web element and stores auxiliary information for identifying the operation target in a web page. A scenario executor reads a web page of the web page identifier included in the scenario with a web browser, determines whether or not the operation target web element identifier is present within the read web page. The scenario executor selects a new operation target web element by analyzing content of the read web page using the auxiliary information when it is determined that the operation target web element identifier is absent in the determination process, and performs a web operation described in the scenario for the web element selected in the analysis process.

The application provides a method and system for implementing Internet of Things virtual simulation on a Web page, which comprises resource deployment: deploying a front-end display layer, a back-end logic layer and a data storage layer on a server; simulation configuration: loading the front-end display layer content to a Web page of a user terminal, and setting the properties of each simulation model in the Internet of Things system according to actual requirements; starting simulation: loading the corresponding simulation logic and resources according to the initialization information set by the user; initializing all devices and environment parameters, and entering the simulation state; model calculation: using a discrete time driving framework to simulate network operation, and ensuring that all network events occur at a specific time; picture presentation and dynamic editing. The method for implementing Internet of Things virtual simulation on a Web page combines front-end display, back-end logic processing and data storage through the design of a multi-layer architecture, realizes efficient and flexible Internet of Things system simulation, and is helpful to reduce the cost and time of Internet of Things system development and testing.

To create test scripts more efficiently for automated testing of web applications, we aim to improve the efficiency of the process. [Solution] A web operation automated execution agent 1 that automatically performs one or more operations on a website 3, which obtains the HTML 14 of the website 3, creates a script 15 to perform one or more operations using LLM2 based on the HTML 14, and performs operations on the website 3 based on the script 15.

A system configured for emulating a communication load on a network, the system having: a controller module; a controller module operatively coupled to the controller module over the network, where the system is configured to perform a load test over the network with the application module by transmitting an analog telemetry message associated with an analog device representing an Internet of Things (IoT) device to the application module, where the analog telemetry message is transmitted to the application module, the analog telemetry message is equivalent to a production telemetry message sent from the IoT device; and issuing an alarm when the system determines that a result of the load test indicates that an error is above a threshold associated with receiving the analog telemetry message by the application module.

Systems and methods for automatically updating validation rules used to detect and remediate network operation validation anomalies in conglomerate-application-based ecosystems are disclosed. The disclosed anomaly evaluation platform can dynamically monitor a set of document repositories containing specific guidelines for generating validation reports. In response to detecting updates in the guidelines, the anomaly evaluation platform retrieves a communication map defining parent-child relationships between validation rules and generates an updated communication map. The anomaly evaluation platform detects a transmission of a first network operation to a software application, which uses the first network operation to generate a second network operation. The anomaly evaluation platform provides the first network operation, the second network operation, and the updated communication map to an artificial intelligence model to generate a validation report that meets the specific criteria guidelines.

Methods and systems are described herein for moving access tokens for validating network operations between user accounts to prevent malicious or nonaligned usage. The system may determine that a user is associated with a first user account and a second user account, retrieve parameters associated with the first and second user accounts, determine that an access token is available for migration, update a binding associated with the access token from the first to the second user account, and, in response to receiving a network operation request, may process the request using the second user account.