258 results about "Network application" patented technology

The invention provides a virtual synchronous machine dynamic inertia control method and system based on an artificial intelligence technology, which are applied to voltage source inverter control, and mainly comprises the following steps: data acquisition and preprocessing are carried out, and dynamic parameters are output through a time sequence neural network and are respectively used for control links of a virtual synchronous machine; a convolutional neural network is adopted to calculate a phase compensation angle for phase correction of pulse width modulation, and then a deep reinforcement learning network is utilized to output duty ratio correction to adjust the pulse width modulation so as to cooperatively control the dynamic inertia of the virtual synchronous machine. According to the invention, dynamically adjusted parameters are obtained through data time sequence processing and neural network application, and adaptive adjustment of core parameters can be realized; the convolutional neural network participates in modulation signal calculation, hardware phase delay is effectively compensated, and the dynamic response precision is improved; and cooperative optimization of inertia control and dynamic response is realized by combining deep reinforcement learning, current overshoot is reduced, harmonic waves are suppressed, and the electric energy quality and the system stability are improved.

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.

The invention discloses a network application vulnerability automatic detection method and system based on a large language model, and solves the problems of low vulnerability detection efficiency and low accuracy in the prior art. The method comprises the following steps of: S1, searching a path of an application programming interface (API) (Application Program Interface); s2, a big language model vulnerability analysis step; s3, a step of generating a script of a vulnerability PoC (Proof Of Concept: Conceptual Verification); s4, an IDOR (Insecure Direct Object Reference) vulnerability crawler identification step is carried out, and the step S4 is carried out according to the vulnerability crawler identification step and the step S4, the step S4 is carried out according to the vulnerability crawler identification step, and the step S4 is carried out according to the vulnerability crawler identification step. S5, a vulnerability verification step; and S6, a report generation step. According to the method and the system, the whole process from path searching to vulnerability hypothesis generation to automatic vulnerability verification is realized through driving the synergistic effect of multiple modules, the targets of zero false alarm and near-zero manual confirmation are achieved, the efficiency and the accuracy of network application security testing are greatly improved, and powerful support is provided for network security protection.

The invention discloses a network application firewall rule configuration method and device, equipment and a medium, and relates to the technical field of network security, and the method comprises the steps: carrying out the attack detection of a network request received in a preset time period based on the sub-rule of each level in each protection rule in a current environment after a network application firewall is accessed, determining a detection result and time consumed by sub-rule detection; determining hit type distribution of the protection rules in a preset time period by analyzing the detection result; triggering sub-rule grade updating based on protection rule hit type distribution and sub-rule detection consumed time, and determining a target protection rule combination in the current environment by solving a Markov decision process constructed based on an updating result; and when a misjudgment interception behavior occurs based on the configured target protection rule combination, performing analysis based on a preset expert decision interface to determine whether a rule correction trigger condition is met currently. According to the invention, the WAF protection rule combination can be dynamically adjusted based on the current environment.

Systems and methods are provided for controlling network access in a zero trust environment. A method, according to one implementation, includes the step of monitoring and controlling access between a user device and a network application using a zero trust policy engine having a Zero Trust Architecture (ZTA) in which no user, user device, or network application is inherently trusted. The method further includes the step of granting trust by allowing the user device to access the network application when identity and context information associated with a user of the user device is verified and when policy checks of the zero trust policy engine are enforced.

Procedures, methods, architectures, apparatuses, systems, devices, etc. directed to enablers for blockchain-enabled wireless systems are provided. Among the apparatuses, is an first apparatus that may be configured to receive, from a network application, a registration request including information indicating a plurality of application-level requirements for a distributed ledger service, including one or more performance requirements, and one or more actions; determine a node of a distributed ledger system to associate to the network application based at least in part on the performance requirement; provide, to each of a one or more computing resources, executable code for conducting one or more of the one or more actions; and send a confirmation of registration to the network application.

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.

The invention relates to an equipment remote control system and method based on computer network application, and relates to the technical field of computer networks, and the system comprises a remote control terminal, a remote control server, controlled equipment, a network communication module, a security authentication module, an equipment management module, an instruction analysis module and a data encryption module. According to the invention, security measures such as bidirectional identity verification and data encryption are adopted, illegal access and control are effectively prevented, and the security of data is ensured. Low-delay communication protocols such as an MQTT protocol are adopted, the real-time performance of a control instruction is guaranteed, and the method is particularly suitable for equipment control with the high requirement for the real-time performance. And multiple control protocols are supported, so that equipment of different manufacturers can be compatible, and the deployment cost is reduced. And a simple and easy user interface is provided, so that the user can quickly master, and the working efficiency is improved. And a modular design is adopted, so that new equipment types and functions can be conveniently expanded, and continuously increasing remote control requirements can be met.

The invention discloses an improved SAC-based intelligent arrangement system for a power-cut plan of a power grid. The system comprises an objective function construction module which establishes a multi-objective function of the power-cut plan of the power grid according to power demand data; the constraint condition construction module establishes a multi-dimensional constraint condition according to the safety operation data of the maintenance equipment; the Markov decision process modeling module constructs an intelligent learning framework by using a multi-objective function and a multi-dimensional constraint condition, wherein the intelligent learning framework comprises a state space, an action space and a reward function; the action cutting module is used for dynamically cutting the action space based on constraint conditions; the SAC network construction module learns an optimal strategy through intelligent agent and environment interaction to obtain a trained SAC network; and the SAC network application module deploys the strategy parameters in a power grid dispatching system to generate an intelligent arrangement scheme of the power-cut plan. According to the invention, the problems of low efficiency, difficult coordination, easy conflict and difficult global optimization caused by dependence on artificial experience in traditional power-cut plan arrangement are solved, and the intelligent level of arrangement and the decision-making efficiency are significantly improved.

The invention relates to the technical field of wireless network testing, and discloses a wireless router complete machine one-stop testing method and system and electronic device.The wireless router complete machine one-stop testing method comprises the steps that a typical network application characteristic flow mode library is constructed, and different flow modes are dynamically combined through the Markov decision process; creating a novel attack mode by using the generative adversarial network; constructing a multi-agent cooperative attack system; dynamically adjusting the test intensity according to the real-time response of the router; constructing a multi-dimensional evaluation index system and analyzing a test result; according to the invention, by combining artificial intelligence and network security technologies, the performance and security protection capability of the wireless router in a complex and changeable network environment and attack scene are comprehensively tested, potential stability problems and security holes are found in advance, and the product quality and the user experience are effectively improved.

The invention provides an intelligent network operation and maintenance method and system based on performance analysis and a large language model, and belongs to the field of network operation and maintenance. The method comprises the following steps: firstly, embedding a large language model into a network application performance analysis system; performance analysis platform authentication information and an API path are configured, a semantic analysis template, an inference rule base, a graph model and an alarm threshold value are initialized, and a report generation template and a scheduling strategy are configured; receiving an operation and maintenance problem, a query request or a diagnosis demand input by a user in a natural language form; based on a semantic analysis template configured in the large language model, intention recognition and keyword extraction are carried out, a special language DSL in the field of structured query is generated, network application performance analysis is carried out, performance feedback data is obtained, index analysis is carried out, an analysis result is fed back to the large language model, a natural language is generated according to the feedback result, and the natural language is stored in a database. And displaying according to the report generation template. The problem analysis efficiency, the automation degree and the network operation and maintenance efficiency and effect are improved.

Disclosed is a method for implementing a Zero Trust Architecture (ZTA) to secure network resources by eliminating lateral threat movement and minimizing attack surfaces. A zero trust policy engine, positioned inline between user devices and network resources, receives and evaluates access requests by verifying user and device identities along with context information. Based on dynamic risk scores derived from these evaluations, the engine enforces least-privileged, identity-based access policies, selectively granting access exclusively to authorized resources. Connections are terminated and re-established through secure proxy techniques, with continuous inspection of traffic for threats and data loss. Adaptive security measures, including isolation through pixel-streaming and context-aware access adjustments, further enhance protection. This architecture integrates seamlessly with cloud-based security service platforms, supporting workload-to-workload security, external entity integration, and comprehensive compliance reporting through audit trails and dashboards.

The invention relates to the technical field of intelligent control network application programming, and discloses an application programming method based on an ArtNet module, which is applied to an intelligent control network. The method comprises the steps that an ArtNet module storage medium is partitioned, firmware is received and verification information is stored, the validity of the firmware is judged, the firmware is transmitted to a main controller according to a preset upgrading protocol, the main controller distributes updates, and the ArtNet module clears temporarily stored data. According to the application, the intelligent control network master controller is an internal communication bus master device, the function nodes maintain the original access logic, only an ArtNet module is newly added as a slave device to access the internal bus, an independent communication link is established through a universal interface and the master controller, the Ethernet and the external control bus are externally connected, original hardware and an IAP protocol do not need to be changed, and the communication efficiency is improved. Equipment transformation and code rewriting cost caused by module expansion are avoided; based on the programming process, original IAP logic is not interfered, repeated burning caused by data residue is avoided, and the method is suitable for firmware upgrading of intelligent control networks such as moving head lamps, stage lighting and intelligent lighting.

The invention relates to an 800G optical module InfiniBand networking test method, which comprises the following steps of: respectively connecting two ports of a switch with network cards of two servers by using an 800G optical module, and configuring the network cards into an InfiniBand mode; the two servers are used as a server side and a client side respectively, the server side and the client side are configured through the network card, an actual flow report of the 800G optical module is read, and an 800G optical module InfiniBand networking test environment is constructed; and according to the 800G optical module InfiniBand networking test environment, respectively carrying out a stability test, a function availability test and a robustness test on the 800G optical module. According to the method disclosed by the invention, the current network application can be simulated, the performance of the optical module in the server intercommunication service can be verified, and the function availability of the module can be evaluated; the possible operation of the current network on the server and the switch can be simulated, and the robustness of the module is evaluated; different use environments of the existing network can be simulated, and the use stability of the module is evaluated.

Techniques of the disclosure herein relate to a gambling architecture that may occur at least in part on a distributed ledger network (i.e., blockchain). In some instances, a gambling system or method may receive from a user (e.g., a bettor) a wager placed on a game. A smart contract stored on a node of a distributed ledger network may determine a return amount by sending a request to an off-network application (e.g., an oracle), which may return a value that is used to determine a multiplier (e.g., by mapping the value to a function / set of possible return multipliers). Based on the multiplier and the wager, the return amount may be determined. At or before the terms of the smart contract execute, game characteristics of the first game may display the return amount to the user, and a currency balance associated with the user may be updated.

A data management arrangement that comprises system(s) enabling monitoring and interconnectivity system resources and configuration parameters to be dynamically adapted to ensure re-defined data prioritisation and associated essential minimal data interconnectivity is maintained during high-dependence or critical data applications which arrangement includes the capability to combine and adapt / adjust online network application services connectivity parameters and configurations, mobile or remote monitoring and / or information and communication technology in accordance to required monitoring criteria, monitoring and interconnectivity conditions, status of monitored individual or object, and / or available resources and conditions associated with said NAS connectivity and / or mobile or remote monitoring and / or ICT systems, in accordance to the application and applicable risk mitigation and high-dependence connectivity monitoring aspect and associated requirements, and the capability to combine mobile monitoring or computing location details with current and / or forecast and / or normal conditions in order to determine travel, health, and other alerts, advice and recommendations.

The application provides a FC network time delay characteristic simulation method based on network configuration file, and belongs to computer communication technology. The method takes FC network planning file in XML format as a basis, carries out correctness check on the connection relationship of FC network switch and node machine, carries out data analysis and information extraction on the FC network configuration file, establishes FC network node machine and switch list, simulates the transmission process of network data sending, forwarding and receiving, realizes FC network characteristic simulation and evaluation of FC network application layer, link layer end to end time delay and the like. The method reduces the workload of manually inputting network equipment characteristic, network topology architecture, message characteristic and the like, improves the consistency and correctness of input file, and greatly improves the efficiency of FC network time delay characteristic simulation.

Innovations in packet scheduling, which allow a scheduling mechanism to approximate fine-grained rate adjustments and cycle-granularity inter-packet spacing for packets of a flow, are described herein. For example, in an iteration of a scheduler loop, a sender determines whether a proximity condition is satisfied for the next packet of a flow. The proximity condition depends at least in part on how long a target next send time is after a current time. The next packet is scheduled for transmission if the next packet is due or if the proximity condition is satisfied for the next packet. When the next packet is scheduled for transmission, the sender sends the next packet and updates the target next send time based at least in part on a target transmission rate.

The invention discloses an access permission processing method, a server, a client and a network application system. The access permission processing method is used for a server, the server communicates with a client through an intermediate proxy server, and the access permission processing method comprises the steps that a resource access request of the client is received, and the resource access request is generated under the condition that a user account logs in and accesses resources; generating an access resource path in response to the resource access request, wherein the access resource path comprises a user login credential; the access resource path is sent to the client, so that the client generates a file stream request according to the access resource path, and the file stream request comprises the access resource path; performing resource access permission verification according to the file stream request; and under the condition that the verification is passed, outputting the resources to the client in a file stream form through the object storage module. Therefore, the resource access efficiency is improved, and the security of the resources is protected from being leaked.

Systems and methods in the field of software development and workflows for networked applications. System would allow rotation of test, staging, and production servers by reassigning their respective addressing, with minimal or no modification to the servers. It would reduce or eliminate uncertainty, additional testing, delays, and downtime as a result of server rotation and maintenance.

The invention discloses an equipment remote control system and method based on computer network application, and belongs to the crossing field of computer network application and educational informatization technology. The system comprises a student client, an identity verification module, an equipment state query module, an instruction forwarding module, a data stream synchronization module, an operation log recording module, a dual-channel monitoring system and an intelligent scheduling center. The student client is used for sending an equipment operation request to the system and receiving a data stream and a video stream from the system; and the identity verification module is used for verifying identity information and course access authority of the students. According to the invention, remote control of teaching equipment can be realized, and efficient utilization of teaching resources, reliable tracing of a teaching process and accurate improvement of a teaching effect can be finally realized through deep fusion of identity verification and learning review, construction of a dual-channel monitoring system, introduction of intelligent scheduling and implementation of refined teaching evaluation.

This invention discloses a method, system, apparatus, and storage medium for patent citation network analysis. The method includes: constructing a patent citation network in graph form based on a patent dataset; dividing the patent citation network into a predetermined number of subgraphs, and establishing two coupled systems for each subgraph; obtaining node features of each node through the first system; determining a first degree of influence based on the node features and citation relationships; updating the second degree of influence of the second system based on the first degree of influence; obtaining a steady-state network structure by alternately optimizing the first and second systems through subgraphs; and obtaining a target network structure based on the steady-state network structure through evolutionary learning. This invention, based on the idea of ​​evolutionary dynamics, trains the patent citation network graph model through citation relationships. In network applications, it can more effectively extract information from patents and, to a certain extent, explain the citation relationships between patents. It can be widely applied in the field of network analysis and processing technology.

The application discloses a tensor structure information analysis method and system, and the method comprises the following steps: for an input neural network application program, based on program semantic analysis, the structure information of each tensor in the program is analyzed, a description tensor corresponding to the structure information of the tensor is created, the description tensor is converted into a nested list, and a tree structure is constructed based on the nested list; the tree structure is traversed, all node paths are recorded, a constant tensor index description list is formed, based on the constant tensor index description list, the index description list of a non-constant tensor is obtained through program semantic analysis; and a structure index information optimization mechanism is used to merge and optimize the obtained constant tensor and non-constant tensor index description list. Through the index description of the tensor structure information and the capture of the structure information and operation characteristics from the semantics, the application improves the structure characteristic description precision, and greatly improves the utilization rate of the computing resources and the computing efficiency.

This invention provides a method for detecting application logic vulnerabilities based on a large model, relating to the field of network security technology. The method includes: Step 1, centrally collecting access request data from all network applications at the internet entry point, the access request data including acquisition requests and submission requests, and preprocessing the access request data to form an access request dataset; Step 2, using a pre-trained language model to perform word segmentation on the access request dataset, extracting semantic components and generating a labeled sequence; and converting the labeled sequence into a dense vector representation through dynamic embedding. This invention, by transforming vectors using a large model and calculating similarity to divide regions, deploying monitoring requests to generate correction coefficients to adjust the matrix, and then clustering to identify anomalies, can accurately locate potential logic vulnerability attack behaviors, providing a reliable basis for network application security responses.

The invention discloses an SQL (Structured Query Language) injection feature extraction method and system and a medium, and the method comprises the steps: initializing an original load feature vector, and inputting and traversing an original load data set; reading an original load, and defining a feature group as an SQL injection feature vector; basic scale features, grammar construction features, grammar interpretation features, complexity features, comprehensive description features and character separation features in the feature group are extracted in sequence; constructing a feature matrix, and outputting a standardized feature matrix; according to the method, the appropriate SQL injection features are selected, the stability and reliability of feature extraction are improved, the accuracy of machine learning model training is improved, the SQL injection detection effect is further improved, meanwhile, the calculation cost is reduced, and the method can be suitable for large-scale and high-speed network application scenes.

This application discloses a network switching method, apparatus, electronic device, storage medium, and program, relating to the field of distributed storage technology. The method includes: collecting detection data from different layers in a distributed storage system, wherein the different layers include at least one of the following: physical layer, transport layer, and application layer; and the detection data includes at least one of the following: physical layer signal data, transport layer liveness detection data, and application layer verification data; determining the real-time operating status of the storage network based on the detection data; and determining whether to call a virtual network interface to switch the storage traffic of the storage network application to the front-end network based on the real-time operating status. This solves the problem in related technologies where data synchronization between different object storage units is impossible when the storage network is completely interrupted.

The invention provides a security detection method and system based on a network application firewall (WAF). The method comprises the following steps: starting security detection processing under a current limiting model; analyzing at least one attribute parameter associated with the security detection in the first user request; aiming at each analyzed attribute parameter, executing the following steps: representing an analysis result of the attribute parameter by using a preset number; different analysis results of the attribute parameters correspond to different numbers; determining a risk probability of the first user request using each number representing a result of analysis of the attribute parameter of the first user request; and when the risk probability is greater than a preset risk probability threshold, performing security detection on the first user request, otherwise, not performing security detection and directly sending the first user request to the Web server. According to the method, security detection analysis is carried out according to the specific values / contents of the digits instead of the attribute parameters, so that computing resources are greatly saved and the efficiency is greatly improved on the premise of ensuring that which user requests need to be subjected to security detection are distinguished.

The utility model discloses a private network application delivery machine. The private network application delivery machine comprises a shell, a buffer mechanism, a wireless communication module, at least one data module and at least one equipment interface. Wherein the at least one data module is detachably mounted on the inner side wall of the shell. And the buffer mechanism is arranged between the at least one data module and the inner bottom surface of the shell. The at least one equipment interface is arranged on the shell and is exposed outside, and each data module in the at least one data module is electrically connected with the wireless communication module and each interface in the at least one equipment interface respectively. The buffer mechanism can protect each data module in the at least one data module, the stability and reliability of the private network application delivery machine are improved, excessive pressure on a subsequent system is avoided, the buffer mechanism can reduce abrasion and damage risks caused by factors such as vibration in the running or moving process of the private network application delivery machine, and the service life of the private network application delivery machine is prolonged. And the service life of the private network application delivery machine is prolonged.

The invention provides a juvenile network addiction early warning and reminding method and system based on physiological parameters, and belongs to the field of network addiction early warning, and the method comprises the steps: obtaining a facial image, a facial video stream and audio data of a user, and extracting the physiological feature data of the user from the facial image, the facial video stream and the audio data; sending the physiological feature data of the user to a background server; the background server is used for calculating physiological parameters based on the physiological feature data of the user, determining psychological parameters based on the questionnaire text data, the network application use data and the physiological parameters of the user, and calculating an addiction risk score based on the physiological parameters and the psychological parameters; in response to the received addiction risk score of the background server, if the addiction risk score is not less than a preset addiction risk threshold, determining a target early warning level based on the addiction risk score; and generating early warning information based on the target early warning level. According to the application, the addiction state of the juveniles can be accurately monitored and early warned.