305 results about "Network testing" patented technology

The present application provides a network testing method and apparatus, an electronic device, a storage medium, and a program product. The method comprises: obtaining target network node information of a target network node, and determining a virtual network topology on the basis of the target network node information; by using a vulnerability knowledge graph, determining target patch information and target vulnerability information corresponding to the target network node; on the basis of preset network node rewards and attack operation success rates, performing a virtual network penetration test on the virtual network topology where the target network node is located, so as to obtain a penetration test result; on the basis of the penetration test result, determining an exploited network node, and on the basis of the vulnerability knowledge graph, determining remediation patch information, so as to remediate the exploited network node by using the remediation patch information; performing a virtual network penetration test on the exploited network node and the target network node, so as to obtain a post-remediation penetration test result; and on the basis of a comprehensive score corresponding to the post-remediation penetration test result and a comprehensive score corresponding to the penetration test result, respectively obtaining a vulnerability report and a defense report for the target network node.

The invention belongs to the technical field of network test equipment, and discloses network response test equipment and a test method thereof, and is characterized in that the network response test equipment comprises the following modules: a distributed multi-mode dynamic sensing probe used for capturing service flow characteristics and microsecond-level performance indexes of a network link in real time; the extensible data middle table is in data connection with the probe and is used for establishing a unified spatio-temporal index for cross-level performance data from a physical layer to an application layer; and the causal atlas analysis engine based on artificial intelligence is used for positioning a network fault root cause according to the cross-level performance data. According to the invention, an evaluation standard is automatically calibrated according to historical business load characteristics through an extensible data-in-station dynamic baseline threshold mechanism, so that a test environment completely fits complex scenes such as video burst frame transmission, database synchronization ACK, high-frequency transaction chain and the like, the simulation distortion of a traditional tool to business traffic burst and multi-protocol mixed characteristics is eliminated, and the test efficiency is improved. And the test result is ensured to accurately map the long-term stability requirement.

The invention relates to a network testing method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a plurality of basic operators supported by quantitative compilation, and combining the plurality of basic operators to obtain at least one composite operator; generating at least one random network based on the at least one composite operator and the basic operator according to a preset input tensor and a preset random network depth; performing quantitative compiling on the at least one random network, and testing the at least one random network after quantitative compiling to obtain a test result; a truth value result of the at least one random network is determined, an abnormal network is determined based on the truth value result and the test result, and the truth value result is obtained after the central processing unit processes the at least one random network. By adopting the method, the abnormal network can be accurately identified, and the test progress is ensured.

The invention discloses a test network configuration method and system suitable for a large-scale network test bed, and relates to the technical field of network testing, and the system comprises a configuration controller which is configured to check a test network configuration requirement and generate a network element configuration scheme based on a network element configuration model and a network element basic attribute library, generating a configuration service control command according to the network element configuration scheme and the configuration command template; the configuration server is configured to receive and analyze the configuration service control command, select a corresponding network element configuration service for a to-be-configured test network element, and generate a network element configuration command; and the plurality of configuration agents are embedded in the network elements of the test network, can communicate with the corresponding configuration services in the configuration server through the management interfaces of the network elements, receive and execute the network element configuration command, and complete the configuration of the network elements. According to the invention, flexible configuration of various network elements in the test network as required can be well supported, and the method adapts to different requirements of various test tasks.

In some implementations, a network test device may obtain a labeled dataset based on a radio access network intelligent controller (RIC) test simulation. The network test device may generate an artificial intelligence or machine learning (AI / ML) model that is trained using the labeled dataset. The network test device may receive, via a user interface, a network configuration associated with a user application deployed on an RIC. The network test device may predict, using the AI / ML model running on the network test device, a key performance indicator (KPI) based on the network configuration. The network test device may provide, via the user interface, an indication of the KPI.

The invention discloses a dual-channel adaptive network stability testing method and system, and belongs to the technical field of computer network testing. The system adopts a dual-channel asynchronous communication architecture in which a control channel and a data channel are physically separated, instructions and state information are transmitted through an independent TCP control channel, and high-speed test data streams are transmitted through a UDP or TCP data channel. The method comprises the following steps: dynamically and adaptively adjusting a timeout parameter based on real-time network delay detection; nanosecond constant interval packet sending control is realized by using a high-precision monotonic clock source and busy waiting compensation mechanism; a packet loss detection, positioning and ACK confirmation mechanism based on the serial number is realized in an application layer; and real-time statistical display and idle detection automatic termination are realized through multi-thread parallel processing. According to the invention, the precision, the stability and the adaptive capability of network testing are remarkably improved, and the method is suitable for long-time stability testing in various scenes such as a high-speed Ethernet, a satellite link, an industrial Internet of Things gateway and the like.

A request for a virtual private network (VPN) server is received at a central server from a user device. The request includes an intended network usage. A list of VPN servers is transmitted to the user device. Network test results that include network statistics measured between the user device and the VPN servers of the list of VPN servers are received from the user device. VPN server scores for the VPN servers are updated based on the network test results, the intended network usage, and at least one network condition associated with the intended network usage. An updated list of VPN servers ordered based on the updated VPN server scores is generated. The updated list of VPN servers is transmitted to the user device.

The invention relates to a transformer fault diagnosis method, device and system based on multi-modal information fusion. The method comprises the following steps: collecting multi-modal information; selecting multi-modal information, and dividing and preprocessing faults; first-level decision training: inputting the full-mode external fault data into a training gating network, enabling the gating network to serve as a first-level decision, and recognizing and outputting one-hot codes through input data features; second-level decision training: establishing fusion strategies under different input conditions and encoding the fusion strategies, selecting corresponding training sets and test sets for training each fusion model, and performing fault diagnosis as a second-level decision; a primary diagnosis model; fusing the diagnosis model; testing the whole network to obtain a diagnosis result; trend prediction and hierarchical adaptive early warning are carried out; online incremental learning is carried out on cross-site model migration; the method has the advantages that multi-modal information is considered, a dynamic fusion strategy is introduced, and flexibility and accuracy are improved.

The invention discloses a semi-supervised social robot detection method based on a pseudo tag and a graph neural network. The method comprises the steps of obtaining a data set, dividing the data set, extracting multi-modal features, enhancing the multi-modal features, constructing a social robot detection network, training the social robot detection network, testing the social robot detection network, and identifying and detecting a social robot. According to the invention, two multi-modal feature enhancement modes are provided, so that the diversity of input data is improved; a pseudo label generation method is provided, the problem that data labels are rare is effectively solved, and the cost of data labeling is reduced; and a semi-supervised social robot detection network based on a graph neural network is constructed, unlabeled data is effectively utilized to participate in training, and the training data of the social robot detection network is amplified at low cost. The method has the advantages of high detection accuracy, low data labeling cost, large training data scale, short network training time and the like, and can be used for identifying and detecting the social robot.

The invention belongs to the field of network testing, and provides a network performance testing method and system based on a 5G communication terminal, and the method comprises the steps: configuring N + 1 5G communication terminals and N hardware relay devices; selecting one of the N + 1 5G communication terminals as a current test terminal, and enabling the other N 5G communication terminals to be in one-to-one correspondence with the N hardware relay devices respectively; performing signal amplification and multipath distribution on signals of the corresponding 5G communication terminals by using the N hardware relay devices; controlling the N + 1 5G communication terminals to execute a data transmission test; obtaining test data of the current test terminal, and adding the test data into a first test data group; acquiring test data of the rest N 5G communication terminals, and adding the test data into a second test data group; and analyzing and determining the network performance based on the data of the first test data set and the second test data set.

The embodiment of the invention relates to the technical field of quantum communication, and discloses a quantum communication network simulation test platform and method, and the test platform comprises a scene simulation test frame, a pressure test module and a quantum channel attenuation simulator. The scene simulation test framework is used for simulating quantum communication network scenes in different running states, and the running states at least comprise running states of a quantum communication network in different distances, different noise environments and / or different attack scenes; the pressure test module is used for performing a pressure test in the quantum communication network scene simulated by the scene simulation test framework; and the quantum channel attenuation simulator is used for simulating quantum channel attenuation aiming at a quantum communication network scene in the testing process of the pressure testing module. By simulating quantum communication network scenes in running states under different distances, different noise environments and different attack scenes, the quantum secret communication network test scenes are more comprehensive, and the accuracy of test results is improved.

Implementations are described herein for network testing using machine learning. In some implementations, a testing system receives an indication of a test failure associated with a test of a wireless communication system. The testing system stores one or more packet capture files associated with the test failure. A machine learning model associated with the testing system performs a root cause analysis of the test failure using the one or more packet capture files. The testing system determines a configuration update for the wireless communication system based on a result of the root cause analysis. The testing system generates an output that indicates the configuration update.

The invention discloses a selective retransmission function test method, device and system for remote direct memory access, a medium and a product, and relates to the technical field of network tests.The method comprises the steps that when message features of a received test message are successfully matched with a packet loss rule, redirection processing is carried out on the test message so as to achieve controllable discarding, and the message features of the test message are successfully matched with the packet loss rule; according to the method and the device, the selective retransmission function is triggered, and the release rule corresponding to the test message takes effect to ensure that the subsequent corresponding retransmission message can be normally forwarded, so that only the first transmission of the original message is intercepted, the retransmission message is released, and the purpose of controllable packet loss is achieved; and finally, the selective retransmission function is evaluated according to the redirected message information in the function test process and the message receiving information of the message receiving end, so that the technical problems that the test packet loss is uncontrollable and the accurate test requirement is difficult to meet in the related technology can be solved, and the test efficiency is improved. The technical effects of accurate and controllable verification and performance evaluation of the selective retransmission function are achieved.

The invention relates to a vehicle automatic test method and system based on a body robot, and the method comprises the steps: obtaining a test task of the body robot, and the test task is a task for simulating the operation behavior of a user on a vehicle; decomposing the test task into an executable subtask sequence according to the test type and the environmental condition; and controlling the robot to execute the current subtask according to the priority of the subtask sequence, monitoring behavior actions of the vehicle when the robot executes the current subtask, and recording a task execution result of the robot. Therefore, the problems that a traditional automobile function testing method depends on manpower, is low in testing efficiency and hard to cover a dynamic scene, network testing is split in testing, and the man-machine cooperation efficiency is low are solved, the dependence of the testing on the manpower is reduced, the testing efficiency and the testing quality are improved, meanwhile, network-function integrated testing is guaranteed, and the testing efficiency is improved. Automatic testing of the automobile in a complex environment is realized by using the robot with the body based on vision, sound perception and information interaction cooperation.

The invention discloses a multi-agent collaborative adaptation degree screening method based on hierarchical feature learning. The method comprises the steps of preprocessing a data set, extracting key features, constructing a hierarchical feature learning network, training the hierarchical feature learning network and testing the hierarchical feature learning network. According to the construction method of the hierarchical feature learning network, a multi-scale operation knowledge graph module, a multi-scale operation feature extraction module and a multi-source feature fusion and adaptation degree screening module are included, and screening of the adaptation degrees of task execution capabilities of multiple agents is completed. The defects that in an existing multi-agent task allocation and collaborative screening method, feature expression is single, collaborative relation modeling is insufficient, and adaptability evaluation is inaccurate are overcome. The method has the advantages of being comprehensive in feature expression, complete in collaborative relation modeling, accurate in adaptability evaluation, high in screening precision, high in system operation efficiency, high in task success rate and the like, and can be applied to task scheduling platforms of industrial automation, multi-robot collaboration, intelligent manufacturing and the like.

The present invention discloses a test network configuration method and system applicable to a large-scale network test bed, which relates to the technical field of network testing. The system includes: a configuration controller configured to check and verify the test network configuration requirements based on the network element configuration model and the network element basic attribute library, generate a network element configuration plan, and then generate a configuration service control command according to the network element configuration plan and the configuration command template; a configuration server configured to receive and parse the configuration service control command, select corresponding network element configuration services for the test network elements to be configured, and generate network element configuration commands; and a plurality of configuration agents embedded inside the network elements of the test network, capable of communicating with the corresponding configuration services inside the configuration server through the management interfaces of the network elements, receiving and executing the network element configuration commands, and completing the configuration of the network elements. The present invention can better support the flexible configuration of various network elements in the test network as required and adapt to the differentiated requirements of various test tasks.

The invention provides a time-sensitive network test method and device, electronic equipment and a storage medium. The time-sensitive network test method comprises the following steps: generating time-sensitive network test Qbv interference test configuration, communication quality test configuration and load configuration; according to the Qbv interference test configuration, the communication quality test configuration and the load configuration, respectively executing tests to obtain a scheduling strategy test result, a communication data test result and a performance test result under abnormal traffic interference; and determining a network test result of the time-sensitive network according to the scheduling strategy test result, the communication data test result and the performance test result. The method has the beneficial effect that the reliability and the stability of the IEEE 802.1 Qbv scheduling strategy of the TSN application system are improved.

The invention belongs to the field of network decision optimization, relates to a data analysis technology, and particularly relates to a network intelligent decision optimization system based on dynamic feature extraction, which is used for solving the problem that stage correlation analysis cannot be carried out according to a single performance parameter in a dynamic network in the prior art. Comprising a network test module, a feature extraction module, a performance monitoring module and a decision analysis module, and the network test module, the feature extraction module and the performance monitoring module are all in communication connection with a database; according to the method and the device, dynamic association analysis of the network performance parameters and the operation parameters is realized, and the system can accurately identify key factors causing performance abnormity in a complex and changeable network environment. Compared with a traditional static threshold judgment method, the dynamic feature extraction mechanism of the invention significantly improves the accuracy of anomaly diagnosis, and through the separate design of the test period and the monitoring period, the system can perform comprehensive feature analysis while ensuring the real-time monitoring efficiency.

The invention relates to a power industry Ethernet switch optical port test system, method, device and equipment, a storage medium and a program product, and relates to the technical field of optical fiber communication. The system can improve the power industry Ethernet switch optical port test efficiency. The system comprises a test environment control module, a network tester, a variable optical attenuator and a switch to be tested. The test environment control module configures the network tester, the variable optical attenuator and the switch to be tested according to the configuration information; the network tester generates a network test message under the target test case, and records a receiving and sending statistical result of the network test message; the adjustable optical attenuator records and displays the adjusted optical attenuation parameters; the to-be-tested switch realizes a switch optical port function under the target test case, and collects an optical power value in an optical port test process; and the test environment control module summarizes and analyzes the receiving and transmitting statistical result, the optical attenuation parameter and the optical power value, and outputs a test result information set of the target test case.

The invention discloses a service supervision and automatic test method in AFDX (Avionics Full Duplex Switched Ethernet) network test, which comprises the following steps: a control host sends a connection instruction to tested equipment, and the control host sends a configuration information instruction of a service frame to the tested equipment after the tested equipment returns first ACK (Acknowledgement Character) information to the control host under the condition of meeting a condition; after the control host receives second ACK information returned by the tested equipment according to the configuration information instruction through the second VL, the tested equipment is tested according to a preset test requirement; when the tested equipment is tested, the control host receives supervision information of the tested equipment reported by the tester board card; and the control host generates a test report and a log record of the tested equipment according to the supervision information and stores the test report and the log record in a database. According to the method, the automatic test process can be completely carried out, the test efficiency and the scene coverage capability can be effectively improved, and the method has important significance for improving the reliability and the high efficiency of AFDX network test.

The invention relates to the technical field of intelligent terminals and network testing, in particular to an automatic testing system and method based on an AI large model.According to the system, parameters are configured and manually rechecked according to the testing type and the network environment, knowledge base data are retrieved through the RAG technology, an optimal testing case combination is dynamically generated in combination with the testing stage, the equipment model and the like, and the testing efficiency is improved. Testing of reliability, stability, performance and the like is automatically executed, key indexes are collected and re-checked by professionals after AI intelligent merging analysis, finally, a standardized report is output and fed back to a data optimization system and a knowledge base, a computing power-model-agent collaborative system is constructed, and automation of a whole test link is achieved; according to the method, the test period is shortened by more than 50%, the test precision and coverage are remarkably improved, the method is adaptive to multiple types of terminals and multiple scenes, test resources are optimized, it is ensured that results are objective and repeatable, and the method has sustainable evolution ability.

The invention discloses a network interface card testing method and device, and relates to the technical field of computer network testing, and the method comprises the steps: dynamically generating mixed traffic simulating a real network environment through an intelligent traffic generation engine; performing all-directional performance measurement from a physical layer to an application layer by utilizing a full-stack performance analysis framework, and dynamically generating and optimizing a test case; constructing a virtualized test environment, and inputting the test case into the virtualized test environment for parallel testing; and automatically generating a test report containing the problem diagnosis suggestions, thereby solving the technical problems of low test efficiency and automation degree of a network card test technology, large limitation of a test scene, difficulty in effectively analyzing data packet content, serious waste of hardware resources and difficulty in fully performing compatibility verification in related technologies. The technical effect of comprehensively testing the performance, the stability, the reliability and the like of the network card through the intelligent flow generation and deep packet inspection technology is achieved.

In some implementations, a network test device may identify a beam pattern associated with a gNodeB. The network test device may select, from the beam pattern, a first location, wherein the first location is associated with a first layer of a user equipment (UE). The network test device may select, based on the beam pattern, a second location associated with a second layer of the UE, wherein the second location is selected from a set of candidate locations associated with the first layer. The network test device may create one or more multiple-input multiple-output (MIMO) channels based on selected layers. The network test device may use the one or more MIMO channels to test a multiple user MIMO (MU-MIMO) system in a simulation or emulation environment.

The invention provides a network-on-chip test file generation method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of obtaining test scene information of a network-on-chip; the test scene information comprises a plurality of test scenes, and each test scene comprises a group of test parameters; performing text data extraction on the test scene information through a conversion function of the analysis component, and converting the format of the extracted text data into a target format to obtain first data; the target format is matched with a format supported by the analysis component; and generating an on-chip network test file corresponding to each test scene according to the first data and the sequence generation function. According to the embodiment of the invention, the efficiency of generating the test case can be improved, so that the test efficiency and test quality of the network-on-chip are improved.

This invention relates to the field of vehicular network testing technology, and discloses a domain controller network testing system, method, and apparatus. The system includes multiple vehicular Ethernet converters, Ethernet switches, and bus controllers. Each vehicular Ethernet converter is connected to a domain controller under test, and each vehicular Ethernet converter is also connected to the Ethernet switch. Each domain controller under test is also connected to the bus controller. The Ethernet switch and the bus controller are both connected to a host computer. The host computer is configured to: receive on / off configurations for the channels between the Ethernet switch and at least one of the domain controllers; receive test requests and send test signals to the bus controller; and acquire messages transmitted and received at a specified bus listening port or mirror port to obtain test results. This invention enables arbitrary channel configuration between domain controllers, meeting various testing requirements.

The invention discloses a CAN network fault-tolerant automatic test system and method for an electric steering system, and relates to the technical field of CAN network testing, and the system comprises an upper computer module and a test tool. The test tool comprises an MCU and a switch array. The switch array comprises a plurality of controlled chip switches and relay switches. The test tool receives a test sequence message of the upper computer through the CAN bus and controls the switch array to act so as to inject a fault into the EPS or recover communication; and the upper computer module also receives a reply message of the EPS and generates a fault-tolerant test result. A CAN fault-tolerant test tool is formed by a switch array composed of a plurality of controlled chip switches and relay switches, a test sequence message of an upper computer test script is received to carry out various fault tests, whether a test result is qualified or not is analyzed according to a feedback EPS message, multiple fault-tolerant ability tests including Busoff fast and slow recovery time can be automatically carried out, and the fault-tolerant ability test efficiency is improved. And the development and test cost is reduced.

This application relates to a point-to-point load balancing method, apparatus, device, storage medium, and program product, applied to a first node in an enhanced Ethernet network. The method includes: generating a load balancing task when establishing a service network connection between the first node and a second node; when executing the load balancing task, if the second node is idle, configuring a network test connection between the first node and the second node with a lower priority than the service network connection; performing a load balancing test on the first node and the second node through the network test connection; if the test result shows an unbalanced load, establishing a new network test connection between the first node and the second node, and performing the load balancing test again, until a target network test connection with a load-balanced result is obtained; and replacing the service network connection between the first node and the second node with the target network test connection. This method can achieve point-to-point load balancing in an online environment without affecting existing service traffic.

The utility model discloses a test verification system with an intelligent charging function and a new energy vehicle, and the system comprises a storage battery which is connected with a DC / DC; the vehicle control unit is connected with the storage battery and used for conducting intelligent electricity supplementing on the storage battery through the intelligent electricity supplementing function. The programmable electronic load is connected in parallel to the anode and cathode ends of the storage battery and is used for simulating a high-power electric appliance to quickly consume the electric quantity of the storage battery; the data acquisition equipment is respectively connected with the storage battery and the DC / DC; and the network test equipment is connected with the vehicle control unit through a diagnosis interface, and the data acquisition equipment and the network test equipment are used for monitoring the voltage, the charging current and the message information of the storage battery in real time. According to the utility model, the electric quantity of the storage battery is quickly consumed through the programmable electronic load, and the test verification period is shortened; and meanwhile, real-time monitoring of storage battery voltage, charging current and message information can be realized through the data acquisition equipment and the network test equipment, and the execution condition of the intelligent charging function is effectively verified.

The invention discloses a teacher action recognition method based on cross-modal attention. The method comprises the steps of data set construction, data preprocessing, generation of an enhanced skeleton sequence, generation of an action text sequence, construction of an action recognition network, training of the action recognition network and testing of the action recognition network. Due to the fact that the action recognition network formed by connecting the skeleton encoder and the text encoder in parallel is adopted, in the training step, the operation speed and precision and the recognition accuracy are improved, and the operation time is shortened; in the step of training the action recognition network, a cross-modal comparison loss function Lc is adopted, and cross-modal feature expression fused with semantic text prompts is achieved. Compared with seven existing action recognition methods, a comparison experiment is carried out on a daily behavior data set and an action recognition public data set NTU-RGB + D-60 of a teacher, the experiment result shows that the Top-1 accuracy of the method is improved, the method is remarkably superior to all comparison experiments, the beneficial effects of the method are verified, and the method can be used for teacher action recognition.

The application provides an industrial 5G network rate test method and device, electronic equipment and storage medium, and relates to the technical field of mobile communication. The method deploys two kinds of industrial 5G network systems based on indoor base stations and outdoor base stations respectively, establishes a network connection between a first communication device and a second communication device under the industrial 5G network system, and performs network rate test of the industrial 5G network. Before performing the network rate test, the performance parameters of the first communication device are obtained to screen each first communication device in the access network coverage range, so as to screen out a target first communication device with better performance for network rate test, so that the reliability of the obtained network test result is higher and more persuasive. And based on the real-time performance of the first communication device, the target first communication device screened out can maintain the best at the current time, so as to ensure the accuracy of the network rate test result at each moment.