2600 results about "Network configuration" patented technology

The invention belongs to the field of network security, and discloses a network security evaluation system and method based on a dynamic attack and defense game model, and the evaluation system comprises four functional modules of attack and defense game construction, risk prediction, dynamic defense optimization and security situation awareness. According to the method, the idea of dynamic attack and defense game is introduced, multi-level and multi-scene attack and defense simulation is carried out according to historical states, strategy data and real-time data, and the optimal attack path and attack strategy are calculated and analyzed through a game equilibrium solution; according to the method, network resources and network security resources are dynamically adjusted by relying on reinforcement learning and deep learning technologies and a defense rule base generated by pre-training, network configuration is optimized according to a real-time evaluation result, and waste of system resources is reduced. By implementing the system and the method provided by the invention, the security of the target network can be dynamically evaluated, the security defense strategy of the network can be adjusted in real time, and unknown attacks such as advanced persistent threat (APT) and zero-day attack can be effectively resisted.

The invention relates to the technical field of the Internet of Things, and discloses a gas leakage monitoring method, device and equipment based on the Internet of Things and a storage medium, and the method comprises the steps: carrying out the data collection of a gas storage device, and obtaining an initial multi-dimensional data set; performing filtering and edge detection processing to obtain potential abnormal point data; inputting the potential abnormal point data into a mixed deep learning model for gas leakage detection to obtain initial leakage source position data and a leakage intensity value; executing multi-sensor cooperative accurate leakage positioning to obtain target leakage source position data; performing gas diffusion simulation to obtain gas concentration distribution data and risk indexes; based on the gas concentration distribution data and the risk index, dynamic reconstruction of the sensor network is carried out, an emergency response strategy and sensor network configuration information are output, and the method realizes whole-process management from leakage detection and source positioning to risk assessment and emergency response.

The invention discloses a network management computing power session method and system based on 6G communication, sensing and computing integration, belongs to the technical field of mobile communication, and aims to solve the technical problem of how to realize flexible scheduling and on-demand distribution of computing power and network convergence resources in a 6G communication, sensing and computing integration network environment under the condition of not changing network equipment. A mobile network environment supporting a computing power-as-a-service mode is constructed for a user, and the adopted technical scheme is as follows: the method comprises the following steps of: deploying a computing network integration sensing network element, a computing network integration control scheduling network element and a computing network integration service arrangement network element on a core network side, so that the improved core network has a communication, sensing and computing power integration function; and through analysis and identification of computing power application request indexes, computing power business arrangement, computing power and network Qos configuration mapping, decision making and scheduling of computing network fusion resources, distributed cooperative computing tasks are issued, so that computing power session creation is completed, and different computing power requirements of the mobile terminal are met.

In one implementation, a device obtains a natural language-based description of a network via a user interface. The device generates, based on the natural language-based description, network configuration parameters for the network using a generative model. The device conducts a simulation of traffic in the network using the network configuration parameters, to obtain telemetry data. The device uses the telemetry data to train a machine learning model to perform network analytics.

The invention discloses a building crack early prediction and restoration method based on a machine learning algorithm, and the method comprises the following steps: collecting stress, displacement, temperature and image data through a self-adaptive sensor network, and enabling a sensor to dynamically adjust the collection frequency and position; preprocessing the collected multi-source data, including de-noising, data completion and image enhancement, and extracting crack features; performing cross-scale multi-dimensional feature extraction based on the preprocessed data, and generating high-dimensional features for crack prediction; inputting the high-dimensional features into a fusion quantum Bose-Einstein condensation model and a long-short term memory network model, and performing dynamic space-time prediction of the crack; according to the prediction result, generating a repair suggestion by using an intelligent optimization algorithm; after the repair plan is implemented, the repair effect is continuously monitored through the sensor network; the sensor network configuration is adjusted in real time, and the monitoring and prediction accuracy is improved. According to the invention, early prediction and effective repair of the building crack are realized.

A system and method for efficient data storage, transfer, synchronization, and security using automated model monitoring and training. The system analyzes test datasets to detect data drift, retraining encoding and decoding algorithms as needed. New data sourceblocks are created and assigned codewords, compiling an updated codebook for distribution to connected devices. A novel dyadic distribution subsystem simultaneously compresses and encrypts data by transforming input streams into a dyadic distribution. This process generates a compressed main data stream and a secondary stream of transformation information, which are combined into a secure output. The system includes a network device manager for optimizing codebook distribution based on device resource usage. Operating in both lossless and lossy modes, the system offers flexible, efficient, and secure data handling across various network configurations.

Systems and methods for synchronizing data structures in computer networks and distributed computing environments are disclosed. A system can provide a network resource to a client device corresponding to a network profile, establish a network communication session with the client device, and transmit instructions for network application formatting during the network communication session. The system can receive a second request for a network exchange during the network communication session. The system can determine that a path for an object of the network communication session satisfies at least one intersection criterion, the at least one intersection criterion associated with at least one second transmission value. The system can update a second data structure of the network profile.

A system and method, the method including determining, by a centralized user configuration function based on a core network packet delay budget (CN PDB) and a buffer duration, an allowed maximum latency of a time-sensitive network (TSN) stream transmitted between an access network device and a user plane network element, wherein the maximum latency does not exceed a difference obtained by subtracting the buffer duration from the CN PDB, sending, by the centralized user configuration function, first latency information to a centralized network configuration function, wherein the first latency information indicates the maximum latency, receiving, by the centralized user configuration function, first configuration information, wherein the first configuration information indicates a packet transmission time of the transmit end of the TSN stream, and the packet transmission time is associated with the maximum latency, and sending the first configuration information to the transmit end of the TSN stream.

Systems and methods are described for dynamic execution of artificial intelligence (“AI”) agents. A server can receive, from a client device, an input associated with an AI agent. Based on a manifest file or user profile, the server can identify a management policy that applies to the AI agent. The server then dynamically configures access to the agent objects based on applying the management policy. The management policy is applied to a device status of the client device, a user profile of a user of the client device, and / or a network configuration of the client device. The server then executes a modified workflow based on the dynamically configured access, wherein the modified workflow bypasses or changes operation of at least one of the agent objects. Based on the modified workflow, the server transmits an output to the client device.

The invention discloses an information physical security defense method, system and device based on a distribution network digital twin simulation platform and a medium, and belongs to the technical field of information security and control defense of the power distribution Internet of Things, and the method comprises the steps: constructing a three-dimensional channel for interaction of a physical power grid, an information model and simulation data; on the basis of a three-dimensional channel, a three-state dynamic conversion model among a steady state, a transient state and a recovery state is constructed, and multi-state automatic switching simulation is achieved through sub-region division and parallel computing; a multi-level risk modeling system oriented to various risks is constructed based on simulation results, complex attack scenes are identified, and mapping of risk types and response paths is achieved; security risk assessment and defense strategy generation verification are completed, and intelligent collaboration and continuous learning of cross-domain defense strategies are achieved through collaborative optimization. According to the method, the construction efficiency of a complex risk scene is improved, quantitative analysis of cross-domain risks such as circuit breaker mis-tripping caused by network attacks is realized, and the limitation of traditional single-domain risk analysis is broken through.

A process for enhancing network security includes collecting network configuration and network environment information from users, including the identification of suppliers of goods and services. The collected information is parsed to identify individual security risks and a value is assigned to each security risk identified. A cumulative security score is calculated for each user using the values assigned to each security risk, and suggestions are offered to improve security.

The invention provides a satellite communication method and device supporting fire rescue, and the method comprises the steps: carrying out the time alignment processing of real-time multi-source data collected from a fire rescue site and a pre-stored multi-source scene database, forming a time synchronization data set, and generating a terminal state data set and a scene feature data set; performing spatial geometric analysis based on the stored satellite orbit data and terminal position data, and generating available channel data in combination with meteorological monitoring data; task priority data and resource allocation demand data are generated through service feature analysis and task feature calculation; generating network configuration data and terminal access data based on slice configuration and resource allocation; and generating real-time resource data and terminal parameter data according to load statistical analysis and service quality calculation. According to the invention, through multi-source data fusion and dynamic resource adjustment, the reliability and service quality of satellite communication in a fire rescue scene are improved.

The invention discloses a network strategy intention translation system and method based on retrieval enhancement. The system comprises an intention acquisition module, a retrieval enhancement module, an intention translation module, a network strategy generation module, a network strategy verification module, a network strategy issuing module and the like. The method comprises the following steps: (1) an intention acquisition module acquires a network strategy intention input by a user in a natural language; (2) a retrieval enhancement module retrieves a retrieval document highly related to the business scene; (3) an intention translation module generates an expected intermediate intention template; (4) a network strategy generation module converts the expected intermediate intention template into a specific network configuration strategy; (5) a network strategy verification module verifies the network configuration strategy; and (6) the network strategy issuing module converts the network configuration strategy into a specific network configuration command and pushes the specific network configuration command to corresponding network equipment.

The invention provides a low-power wide area network integrated sensing and communication method based on channel sensing and reinforcement learning, and the method comprises the steps: receiving an uplink signal transmitted by a terminal node through a gateway receiver, demodulating the uplink signal through employing a soft demodulation algorithm, and obtaining a bit log-likelihood ratio; the deep reinforcement learning model completes channel reconstruction of the corresponding link during communication according to the bit log-likelihood ratio; and calculating the current optimal network configuration according to the reconstructed channel so as to distribute the current optimal network configuration to each terminal node during next downlink transmission. According to the method, the key environment information is mined by using the deep reinforcement learning model, so that the gateway can allocate optimal network configuration to different terminal nodes according to the current network environment condition, and the decoding capability of the gateway is improved.

The embodiment of the invention provides a network fault diagnosis method, a network fault diagnosis system, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining multi-dimensional data of network equipment, the multi-dimensional data comprises equipment configuration information, network topology information, performance index data and historical fault records; constructing a knowledge graph according to the multi-dimensional data, wherein the knowledge graph comprises nodes representing the network equipment, equipment links, network events and equipment configuration items, and edges representing a physical connection relationship, a logic dependency relationship, an equipment dependency relationship, network configuration information and a causal relationship among the nodes; performing map reasoning based on the knowledge map to obtain a map reasoning result; and generating diagnosis information for a target fault according to the map reasoning result. According to the embodiment of the invention, through multi-dimensional data integration, knowledge graph construction and automatic reasoning, the diagnosis efficiency, accuracy and adaptability are remarkably improved.

A networking device in a HA configuration processes network flows for a VNIC. Network configurations include networking policies that govern network packet processing by the networking device. Global epoch values are associated with each version of the network configuration. The networking device has a control plane, a data plane, and a flow table. The control plane uses the most recent network configuration to produce flow table entries to be stored in the flow table and the data plane uses the flow table entries to process network packets. Flow table entries include flow epoch values that match the global epoch value associated with the network configurations used to create the flow entries. A datapath epoch value, a VNIC peer epoch value, and a VNIC local epoch value are associated with each VNIC. The various epoch values are used to ensure consistent flow table entries among the peers in the HA configuration.

A method and apparatus for wireless communication are provided. The method comprises the following steps: a first device receives a plurality of beams sent by a second device in an observation window, wherein the plurality of beams are used for determining a first beam set; the first device performs beam prediction on a second beam set in a prediction window based on the measurement value of the first beam set; the first device sends a first report to the second device; wherein the first report is used for determining one or K optimal beams in the second beam set, K is a positive integer, the first beam set is determined according to first information, and the first information comprises at least two of measurement values of the plurality of beams, capability of the first device and network configuration.

The invention provides a distributed formation control method driven by a recursive balance network under a communication attack, and relates to the technical field of cooperative control of a multi-agent system, and the method comprises the steps: constructing a distributed multi-agent system model, and constructing an RBN controller heterogeneous communication network architecture and a DoS attack model; the RBN controller design is optimized, the distributed RBN controller architecture is realized, the stability of the RBN controller is analyzed based on the shrinkage mapping theory, and the exponential convergence of the system state difference is proved by constructing a Lyapunov function; training the optimized RBN controller by adopting a difficulty priority confrontation training strategy, designing a multi-objective loss function, and dynamically adjusting the training weight of each difficulty level; and simulating the distributed multi-agent system optimized by the above steps, testing the robustness of the distributed multi-agent system under incremental DoS attack intensity, and performing comparative analysis of heterogeneous and isomorphic communication network configuration and comprehensive performance comparison of an RBN controller and a traditional MPC method.

A method and apparatus for determining optimized network configuration includes receiving, at a performance analysis server (PAS), a plurality of performance parameters for each of the plurality of nodes, and a plurality of network parameters. The method includes generating, using an artificial intelligence and / or machine learning (AI) engine, based on the plurality of performance parameters, a network status for the plurality of nodes. The network status includes a performance state determined based on the performance parameters, a network state determined based on the network parameters, and at least one performance parameter or at least network parameter causing the performance state or the network state respectively. The method includes determining a configuration change based on performance parameters or the network parameters.

The invention relates to a TSN network configuration automatic generation method and system based on an anti-Agent. The system is composed of a network state perception and intention reflection module, a YANG model configuration parameter and structure decision module and a YANG model intelligent generation module. The network state sensing and intention reflecting module is responsible for structurally sensing the network state and resource information, the YANG model configuration parameter and structure decision module fuses multi-source knowledge and context information, intelligently generates deployable TSN scheduling parameters and a YANG configuration structure for service requirements, and sends the TSN scheduling parameters and the YANG configuration structure to the network state sensing and intention reflecting module. And the YANG model intelligent generation module automatically generates a corresponding YANG configuration model according to an optimized result, and issues the YANG configuration model to target equipment after completing grammar and semantic verification, so that automatic deployment of network configuration is realized. According to the method, the intellectualization level of TSN network configuration and the deployment automation capability are remarkably improved by introducing the reflection reasoning and feedback optimization technology.

Systems and methods are described for dynamic execution of artificial intelligence (“AI”) agents. A server can receive, from a client device, an input associated with an AI agent. Based on a manifest file or user profile, the server can identify a management policy that applies to the AI agent. The server then dynamically configures access to the agent objects based on applying the management policy. The management policy is applied to a device status of the client device, a user profile of a user of the client device, and / or a network configuration of the client device. The server then executes a modified workflow based on the dynamically configured access, wherein the modified workflow bypasses or changes operation of at least one of the agent objects. Based on the modified workflow, the server transmits an output to the client device.

In a system including a plurality of in-vehicle networks, information regarding the network configuration of function units connected to different types of transmission paths can be easily used. A relay device includes: an acquisition unit configured to acquire second function unit information of the function unit connected to the second transmission path, the second function unit information being function unit information that includes information regarding a network configuration of a layer of a lower order than an application layer; and a conversion unit configured to perform a conversion process of converting the second function unit information acquired by the acquisition unit into information that is able to be registered into a database of one or a plurality of pieces of first function unit information being function unit information of one or a plurality of the function units each connected to a corresponding first transmission path.

The invention discloses a network configuration management method and device, a program product and a medium, and relates to the technical field of computers. The method is applied to a data center operation and maintenance management platform, and comprises the following steps: when it is monitored that network configuration needs to be performed on a data center in a current service scene, obtaining physical link interconnection information between network devices in the data center through a preset hardware management protocol; before the service is issued, grouping servers in the network equipment, and issuing configuration to a target port of a switch accessed into the network equipment based on the physical link interconnection information to obtain a configured port; and dividing the servers into different virtual local area networks according to the groups to which the servers belong and based on the configured ports so as to construct a logic network isolation domain, and performing corresponding service operation on each group based on the logic network isolation domain after the service is issued. Through the technical scheme of the invention, the network configuration change can be realized, and the impact on the network flow of the data center is avoided.

The invention relates to the technical field of computer hardware and network communication, in particular to a high-speed I / O (input / output) virtualization server based on an FPGA (field programmable gate array) and a remote forwarding method.The high-speed I / O virtualization server comprises an FPGA chip, a network processing unit, an I / O protocol processing unit, a protocol conversion and scheduling unit, a time sequence and transaction management unit and a data buffering and flow control unit are integrated in the FPGA chip; the optical fiber Ethernet interface module comprises a physical layer interface and an MAC layer processing and network configuration interface; the local I / O interface module comprises a USB interface circuit, a serial port interface circuit, a PCIe interface circuit and an interface expansion connector; the power supply and monitoring module comprises a multi-path power supply management system, a state monitoring and diagnosis system and an LED indication system; according to the self-adaptive Baud rate detection circuit, the Baud rate can be accurately locked under the condition that data with less than two characters is received, the number of data bits, the type of a check bit and the length of a stop bit are automatically identified, and compared with a traditional microcontroller scheme, the self-adaptive Baud rate detection circuit has higher precision and higher detection speed.

The invention provides a general electromechanical transient modeling method and system for a network-building converter, and relates to the technical field of electromechanical transient modeling, and the method comprises the steps: simplifying the electromagnetic transient models of network-building converters of different topologies into a grid-connected equivalent circuit of an electromechanical transient time scale; uniformly representing by using an internal potential series reactance model controlled by a power outer ring so as to establish an electromechanical transient general grid-connected interface model of the grid-forming converter; combining mathematical transformation of active power control with a reactive power control mode to form a general power outer loop control model of the network construction type converter; through a method based on internal potential reconstruction, reconstructing a new internal potential satisfying a current limiting constraint, and establishing a general current limiting model suitable for a network construction type electromechanical transient model; according to the method, various topological structures, various power outer loop control and various current limiting strategies can be simulated, flexible use of models in large-scale power system simulation is facilitated, and the complexity of model development and maintenance is reduced.

The invention relates to a method and device for configuring a Bluetooth Mesh network through Bluetooth broadcast. The method comprises the following steps: receiving Bluetooth distribution network broadcast information; according to a first matching result of the message label and the cache information, determining a processing state of the Bluetooth network distribution broadcast information by the equipment to be subjected to network distribution; if the first matching result shows that the broadcast information is not processed, determining a matching relationship between the to-be-distributed network equipment and the target to-be-distributed network equipment according to a second matching result of the target address information and the address information of the to-be-distributed network equipment; if the second matching result shows that the two are matched, accessing the to-be-distributed network equipment to the network based on the broadcast information; and if the second matching result shows that the two devices are not matched, updating the message forwarding mark to obtain the updated broadcast message and forwarding the updated broadcast message to the next device until the target device to be subjected to network configuration is obtained through matching within the dynamic message distance determined based on the message forwarding mark and is accessed to the network. By adopting the method, the network distribution efficiency can be improved, and the resource redundancy in the network distribution process can be reduced.

The present application provides an electronic device and a control method for the electronic device. A control device, after discovering a first device, based on receiving an adding command for a network configuration for the first device input from a user, can send a network configuration request to the first device to establish a first encrypted session with the first device. The control device, under this first encrypted session, verifies legitimacy of the first device and, after the first device passes verification, can send network configuration information to the first device.

The embodiment of the invention provides a data center network element fault scheduling method and electronic equipment, a data center cluster comprises available areas, representative network nodes are pre-selected in each available area, and arbitration modules, scheduling modules and network configuration storage clusters are deployed in the representative network nodes of all the available areas. The method comprises the following steps: a main arbitration module sends a network node detection request to all arbitration modules, so that the arbitration modules detect all network nodes according to the network node detection request; receiving detection results fed back by all the arbitration modules, and determining whether a fault network node exists or not according to a joint arbitration mechanism; and if the fault network node information exists, updating a network configuration storage cluster according to the fault network node information, so that a main scheduling module schedules a network element running on the fault network node to a non-fault network node in a data center cluster according to the fault network node information in the updated network configuration storage cluster. The method is rapid in detection, high in real-time performance and faster in fault scheduling response.

The invention discloses a cloud service providing method and device, and belongs to the technical field of cloud services. The method comprises the following steps: a cloud platform provides a network configuration interface for a user, the network configuration interface prompts the user to input network feature information, and the network feature information indicates a cloud service network required for realizing a target cloud service; the cloud platform provides a network association interface for a user, the network association interface prompts the user to input association information, the association information indicates a plurality of service nodes associated with a cloud service network, the service nodes are used for deploying application programs of the user, and the application programs are used for realizing a target cloud service; the plurality of service nodes are obtained based on resource deployment in one or more resource deployment areas; and the cloud platform establishes an association relationship among the plurality of service nodes based on the network feature information and the association information to obtain a cloud service network. According to the invention, the performance of the cloud service provided by the cloud service network is improved.

Aspects of the subject disclosure may include, for example, generating network configuration data for a network device according to device information of a vendor; providing the network configuration data to an Artificial Intelligence (AI) analysis platform that applies an AI model to the network configuration data based at least in part on topology data resulting in a configuration analysis, wherein the configuration analysis evaluates the network configuration data and generates at least one of rating information, adjustment information or a combination thereof. The rating information can include a security rating, a risk rating and / or an efficiency rating. The adjustment information can include a recommendation for changing at least a portion of the network configuration data for the network device.