357 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.

The invention relates to the technical field of optical fiber communication, in particular to an FTTR modulation and test system which comprises an optical port modulation and test subsystem and a flow test subsystem. The optical modem test subsystem comprises a multi-channel optical modem test assembly and an extinction ratio tester; the multi-channel optical modem test assembly comprises an optical comprehensive test instrument, a one-to-two optical splitter, a clock data recovery instrument, an optical oscilloscope, a bit error tester and an upper computer. The N to-be-tested optical modems and the extinction ratio tester are electrically connected to the upper computer; the flow test subsystem comprises a network tester, OLT optical access equipment and a plurality of groups of flow test loops arranged between the network tester and the OLT optical access equipment, and each flow test loop comprises a first optical power meter, a first optical attenuator, an optical modem to be tested, a second optical power meter, a second optical attenuator and an accompanying optical modem. According to the invention, the production cost of the optical port debugging and testing process can be reduced.

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 discloses a video watermarking method based on a reversible neural network, and the method constructs a watermark embedding extraction network which comprises a watermark embedding module and a watermark extraction module which share network parameters, and a distortion module which is used for simulating an HEVC compression effect. Distortion layers in the watermark embedding module, the watermark extraction module and the distortion module are all based on a reversible neural network; pre-training the distortion layer based on the pre-training set, fixing network parameters of the distortion layer after the pre-training of the distortion layer is completed, training the watermark embedding extraction network based on the training set, and obtaining a trained watermark embedding extraction network after the training of the watermark embedding extraction network is completed; during testing, a test set is input into the watermark embedding module to obtain a watermark video, HEVC compression is performed on the watermark video to obtain an HEVC compressed video, and the HEVC compressed video is input into the watermark extraction module to obtain extraction end watermark information; the method has the advantages of being large in watermark embeddable capacity, good in watermark robustness and high in watermark extraction accuracy.

The embodiment of the invention provides a network testing method and device, network equipment and a computer readable storage medium, and relates to the technical field of communication. Acquiring a test response message sent by the second network equipment; the test response message is a response message corresponding to a test request message sent by the first network device to the second network device for any session; under the condition of determining that the UDP port number of the session based on the TWAMP Light is set as a fixed port number, acquiring a session ID from the test response message; and determining a target session corresponding to the test response message from the plurality of sessions according to the session ID, and determining a test result corresponding to the target session according to the timestamp information corresponding to the test response message. According to the method, occupation of UDP port resources can be reduced, conflicts of UDP port numbers are relieved, so that normal receiving and sending of test messages are guaranteed, the accuracy of test results is improved, matching time consumption is reduced, and the overall data forwarding performance of the test is improved.

The invention belongs to the field of network fault analysis, and particularly relates to a network fault intelligent prediction system based on dial testing, which comprises a dial testing module, a network testing module, a data acquisition and storage module, a signal prediction module, a fault analysis module and a monitoring and early warning module, according to the method, the principle of a graph neural network is creatively utilized, dynamic spatial-temporal feature extraction is performed on the dial test data, fusion features including overall network features and local features of network nodes are obtained, and rapid fault analysis is realized; according to the method, a bidirectional gating dynamic space-time signal prediction method based on a Pearson's correlation coefficient is creatively adopted, VMD decomposition is utilized, data proximity, periodicity and tendency characteristics are enhanced, Pearson characteristics are fused into a GAT model, a hidden space relation and potential characteristics between network nodes are highlighted, bidirectional gating characteristics are fused into a TCN model, and the prediction precision of the bidirectional gating dynamic space-time signal is improved. The problem of long-time dependence is solved, global features and dynamic changes are effectively extracted, and finally accurate processing of complex fault conditions is improved.

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 provides a network testing system and method and a related device, and relates to the technical field of network testing. The system comprises a tested network system, a monitoring device and a control device, the tested network system comprises node devices, the node devices are connected through an Ethernet link, the monitoring device is connected with the tested network system through the Ethernet link, and the control device is connected with the monitoring device; the node equipment comprises tested node equipment; the test program of the tested node equipment responds to a first trigger instruction sent by the control equipment, and Ethernet data streams are sent to other node equipment; the monitoring equipment counts Ethernet data flow information sent by the detected node equipment and sends the Ethernet data flow information to the control equipment; and the control equipment sends a first trigger instruction to the test program, and detects the physical layer conflict avoidance function of the tested network system according to the Ethernet data flow information counted by the monitoring equipment. According to the invention, the network system can be tested, and the security of the network system is 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 belongs to the technical field of network testing. The invention provides a message transmission physical simulation method. According to the embodiment of the invention, devices of a plurality of nodes are collected for communication by utilizing a current device network environment, connection is carried out according to node configuration information, message packets are randomly generated according to Poisson distribution and gamma distribution, and the server node carries out to-be-transmitted data distribution for other slave nodes, so that the transmission efficiency is improved. Each node generates a data chain table and a buffer area for message transmission, and finally the end-to-end sending physical simulation purpose is achieved. The method is flexible and convenient to use, and can randomly select a network environment and be deployed on any system equipment. According to the method, software to be tested does not need to be installed and uninstalled at each network node during simulation testing, synchronous starting and stopping of testing tasks of all the network nodes can be achieved, a transmission process and a simulation result can be displayed on a system interface, and the method is easy to operate, accurate in testing result and high in efficiency.

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 relates to the technical field of digital information transmission, in particular to a 5G Ethernet switch testing method and system, and the method comprises the steps: obtaining the operation state data of a target 5G Ethernet switch under a plurality of network testing conditions; determining data processing time and data transmission time corresponding to the same bandwidth in the plurality of network test conditions according to the running state data, and determining a data transmission delay rate of each network test condition according to the data processing time and the data transmission time; according to the operation state data, determining the change prominence of a plurality of network environment parameters under each network test condition, analyzing the promotion effect of the change of the network environment parameters on data transmission delay, and obtaining the promotion probability of each network environment parameter; and constructing a performance attenuation function of the target 5G Ethernet switch according to the data transmission delay rate of each network test condition and the promotion probability of each network environment parameter. According to the invention, the overall performance of the switch under different conditions can be comprehensively and accurately reflected.

The invention discloses a network card performance tuning method in a cloud network environment, and relates to the technical field of cloud network management. Comprising the steps of 1, setting IRQ affinity, 2, adjusting interruption regulation and control of a network card, 3, setting the size of an annular buffer area of the network card, 4, adjusting rx hash fields of RSS, setting the hash fields of the RSS, selecting queues of the network card according to hash of a source IP and a destination IP, dispersing incoming network data packets into different receiving queues, modifying RSS hash values of a TCP and a UDP, and sending the modified RSS hash values to the network card. And step 5, using iperf3 to carry out network testing on each item of setting, and evaluating and further optimizing each item of setting according to a test result.

The invention provides a network testing method and device, equipment and a storage medium. The method comprises the following steps: acquiring network traffic data of an application program; determining a network protocol corresponding to the application program based on the network flow data; in response to determining that the network protocol is an IPv6 protocol, performing a function test on the application program in an IPv6 network, and recording a test result of the function test; and generating a test report according to the test result. According to the method, automatic function testing is carried out on the IPv6 support degree of the application program, so that the labor cost is reduced, and the testing efficiency and accuracy are improved.

The invention provides a network node testing system and method and a related device, and relates to the technical field of network testing. The system comprises a tested device, a test device and a control device, the tested device is connected with the test device through an Ethernet link, the control device is connected with a debugging interface of the tested device and a debugging interface of the test device, and the tested device is provided with a streaming program; the streaming program and the test equipment respectively respond to a trigger instruction of the control equipment to send an Ethernet data stream, count Ethernet data stream information, and send the counted Ethernet data stream information to the control equipment through a debugging interface; and the control equipment triggers the stream program to send the Ethernet data stream to the test equipment, triggers the test equipment to send the Ethernet data stream to the tested equipment, and detects the physical layer conflict avoidance function of the tested equipment according to the stream program and the Ethernet data stream information obtained by statistics of the test equipment. Single node equipment in the network structure is tested, and the stability of the network structure is improved.

The invention discloses a network tester simulation protocol stack implementation method and system, relates to the technical field of network testing, solves the problem of specification limitation during tester protocol simulation in the prior art, and is used for solving the problem of message receiving and sending caused by a routing table and the technical problem that loopback port limitation cannot be used during protocol simulation. Obtaining a plurality of simulation threads from the database, importing the plurality of simulation threads and starting a user mode protocol stack; processing network card queue messages on different CPU cores through the configuration information; creating a virtual network card in a user mode protocol stack, and constructing socket connection and mapping relation records between a simulation thread and a protocol stack thread; on the user mode protocol stack, sending or receiving a message of a protocol simulation program, and completing simulation protocol stack network testing; according to the method, the creation efficiency of the virtual network cards is improved, the number of the virtual network cards supported on a single protocol stack thread is increased, and the limitation that a loopback port cannot be used during protocol simulation is relieved.

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.