124 results about "Web operations" patented technology

A processing system including at least one processor may obtain network operational data of a communication network, transform the network operational data into a text-based format, and train a generative machine learning model implemented by the processing system using the network operational data in the text-based format. The processing system may then receive a query pertaining to the network operational data, apply the query to the generative machine learning model implemented by the processing system to generate a textual output in response to the query, and present the textual output that is generated in response to the query.

A system and method are configured to commission and decommission an endpoint device using steganography. The system includes a server operatively connected to the endpoint device through a network. The server includes a steganographic module configured to receive configuration instructions, to generate a secret message corresponding to the configuration instructions, and to steganographically embed the secret message in a carrier file, including a media file selected from the group consisting of a text file, an image file, an audio file, and a video file. The carrier file is transmitted to the endpoint device which extracts the secret message from the carrier file, and which executes the configuration instructions in the secret message to reconfigure the endpoint device to commission or decommission the endpoint device or a component thereof. The method implements the system.

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.

Systems and methods for providing user-induced variable identification of end-to-end computing system security impact information via a user interface are disclosed. The system receives at a graphical user interface (GUI), a user calibration of a graphical security vulnerability element. The system then determines a set of computing system components that interact with data associated with the network operation based on a transmission of the network operation associated with a computing system. The system then determines a set of security vulnerabilities associated with each computing system component of the set of computing system components using a third-party resource. The system then applies a decision engine on the set of security vulnerabilities to determine a set of impacted computing-aspects associated with the set of computing system components. The system then generates for display a graphical representation of the set of impacted computing-aspects satisfying the security condition of the user calibration.

The invention provides a method and a system for realizing virtual simulation of the internet of things on a Web page. The method comprises the following steps of: resource deployment: deploying a front-end display layer, a rear-end logic layer and a data storage layer on a server; simulation configuration: loading the content of the front-end display layer to a Web page of the user terminal, and setting the attribute of each simulation model in the Internet of Things system according to the actual demand; starting simulation: loading corresponding simulation logic and resources according to initialization information set by a user; initializing all equipment and environment parameters, and entering a simulation state; model resolving: simulating network operation by using a discrete time driven framework to ensure that all network events occur at a specific time; and carrying out picture presentation and dynamic editing. According to the method for realizing virtual simulation of the Internet of Things on the Web page, through the design of a multi-layer architecture, front-end display, rear-end logic processing and data storage are combined, efficient and flexible simulation of the Internet of Things system is realized, and the development and test cost and time of the Internet of Things system are reduced.

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.

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.

Techniques for controllable device deregistration and reregistration provide for enhanced network operator control over the timing of device deregistration and reregistration with the network. Example techniques can be applied by a home subscriber service (HSS) of an internet protocol multimedia core network subsystem (IMS). In response to a reregistration notification initiated by a network operator, the HSS can create an IMS deregistration notification comprising a reregister bit and can set the reregister bit to an enabled state. The HSS can then forward the IMS deregistration notification to downstream network equipment such as call session control functions (CSCF), which can in turn forward the IMS deregistration notification to a user equipment (UE), thereby causing the UE to re-register with the IMS.

A network access method and apparatus, relating to the technical field of communications. The method comprises: a terminal determining, according to a selected target network, an auxiliary network associated with the target network (S201); connecting the auxiliary network, and obtaining a digital certificate from the auxiliary network (S202), the digital certificate being used for accessing the target network; installing the digital certificate (S203); and accessing the target network by using the digital certificate (S204). According to the method, the digital certificate for accessing the target network is obtained on the basis of the auxiliary network, networking operation steps are simplified, and the usability is improved.

In some embodiments, validation of a network operation based on screenshot-derived uniform resource locator (URL) data may be facilitated. In some embodiments, in connection with use by a user of a first token associated with a first entity, user activity data associated with the user may be stored in a database in association with the first token. In some embodiments, the first user activity data may comprise first URL data and first timestamps associated with the first URL data. After the storage of the first user activity data, a first action request for a first action involving use of the first token may be obtained. A validation process may be performed on the first action by performing a first query of the database for user activity data based on the first action request.

An automatic front-end website user network behavior security detection system comprises a website automatic test module, a front-end code analysis module, a dynamic instrumentation analysis module and a user behavior analysis module, and the website automatic test module analyzes the result information according to the front-end code analysis module and the dynamic instrumentation analysis module. The code collection module is used for interacting with the website code analysis module, executing page operation according to instructions of the website code analysis module, continuously collecting newly loaded codes and outputting the newly loaded codes to the website code analysis module; the front-end code analysis module is used for performing static analysis on the collected front-end codes, identifying key elements and elements related to network operation, and obtaining a JavaScript function related to the network operation; the dynamic instrumentation analysis module modifies a front-end code loaded by a browser according to a JavaScript function, inserts a log recording code into the JavaScript function, and replaces a front-section original webpage code with the JavaScript code obtained after instrumentation; the website automatic test module simulates interaction between a user and a website, log information output by codes after instrumentation is collected by user behaviors, and all potential user network behaviors are obtained by integrating key network behavior related elements obtained by front-end code analysis. Through an automation technology, comprehensive and real-time monitoring of user behaviors is realized, and potential security threats are automatically detected and responded.

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, systems, and a graphical user interface (GUI) are provided for determining an amount of additional network capacity at an event. The GUI provides data fields for inputting parameters of both the user devices expected at the event and the desired network throughput needed to provide users attending the event with a desired quality of service (QoS). The GUI provides a user criteria segment and a throughput criteria segment. Data entry fields describe metrics of the user devices expected to be at the event. The throughput criteria segment includes data entry fields for target data throughput variables that the network operator wants to achieve at the event. Once data entry is complete, a network operator selects a “CALCULATE” button on the GUI. The calculation outputs a number of sectors, a number of baseband frequencies, and a backhaul event for multiple types of wireless networks.

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.

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.

This disclosure describes techniques that include assessing trust in a system, and in particular, assessing trust by performing a sentiment analysis for an entity or device within a system. In one example, this disclosure describes a method that includes performing, by a computing system and based on information collected about a network entity in a computer network, a sentiment analysis associated with the network entity; determining, by the computing system and based on the sentiment analysis, a trust score for the network entity; and modifying, by the computing system and based on the trust score for the network entity, network operations within the computer network.

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.

The present invention relates to a system (108) and a method (600) for managing operations in a network (106) The method (600) includes step of retrieving, data pertaining to the operation of the network (106) from an inventory unit (206). The method (600) further includes the step of training, an Artificial Intelligence / Machine Learning (AI / ML) model (212) utilizing the retrieved data pertaining to the operation of the network (106). The method (600) further includes the step of predicting future trends of the network (106) utilizing the trained AI / ML model (212).

In certain embodiments, a physical network access token at a network access terminal may be authenticated for modification of records at a remote server system. In some embodiments, a set of records and counterpart records having the same record identifiers and resource amounts may be stored independently on a physical token or user device and the remote server system. When a connection is established between an access terminal and the physical token (e.g., for authenticating a modification of record(s)), the access terminal may transmit input data to the token, which may use the input data with the records stored on the token to generate authentication data, which may be used by the remote server to authenticate a network action requested via the token.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive information identifying a mapping between a set of configured network events and a set of configured thresholds. The UE may perform a network action associated with a predicted network event, the predicted network event being based on the mapping between the set of configured network events and the set of configured thresholds. Numerous other aspects are described.

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.

The invention discloses a cross-platform embedded web operation system, which relates to the technical field of application and development of coal mine equipment systems and comprises an equipment search module, an equipment synchronization and resource sharing module and a real-time monitoring and scheduling module. The equipment search module is used for acquiring equipment basic information by using a UDP protocol; the equipment synchronization and resource sharing module is used for establishing a central resource management system according to the equipment basic information; and the real-time monitoring and scheduling module is used for monitoring according to the central resource management system to obtain an embedded web operation result. According to the invention, the application efficiency and precision of sensor equipment in industrial production are improved, the complexity of equipment management and control is greatly simplified, and important support is provided for industrial automation and intelligent processes.

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.

A digital health solution system includes: a virtual pharmacy comprising one or more processors configured to operate a web portal for user devices via a network, the web portal serving as a marketplace for products and services available from vendors for consumption by users; a transaction processing module configured to: receive, via a network, a transaction from a vendor regarding one or more of the products and services consumed by one or more users via the virtual pharmacy for payment to the vendor; adjudicate the transaction using adjudication rules stored in memory; bill an entity for the use of the one or more of the products and services associated with the one or more users when the adjudication of the transaction passes; and transmit, via a network, a response regarding the transaction to the vendor.

The invention relates to the technical field of network security, and discloses an instruction control method and device and a storage medium, and the method comprises the steps: obtaining a risk level of a to-be-operated instruction; determining a control means judgment rule of the to-be-operated instruction according to the risk level of the to-be-operated instruction; according to a control means judgment rule of the to-be-operated instruction, obtaining a control means of the to-be-operated instruction; according to the method and the device, risk management and control are carried out on the to-be-operated instruction of an engineer in the network before the to-be-operated instruction of the engineer is issued, network faults caused by issuing of illegal operation instructions can be directly predicted or prevented, the compliance of the engineer on network operation is improved, and the risk management and control of the to-be-operated instruction in the network is improved. And a network administrator is assisted to manage and control the network, so that the stability and reliability of the network are improved.