420 results about "Networking protocol" patented technology

The invention provides a low-altitude networking of intelligence multipath data transmission system based on MPQUIC, and belongs to the technical field of novel network protocols, and the system comprises a network state analysis module which is used for obtaining the network state indexes of all communication paths of an unmanned aerial vehicle under different position coordinates; the flow scheduling module is used for predicting the track of the unmanned aerial vehicle, scoring the communication paths by combining the network state indexes of the communication paths, and obtaining the communication paths corresponding to the data flows with different priorities of the unmanned aerial vehicle according to the priorities of the data flows with the scores of the communication paths; and the path selection optimization module is used for dynamically adjusting weight parameters in communication path scores based on deep reinforcement learning by taking network throughput maximization and time delay minimization as targets to obtain optimal communication paths corresponding to data streams with different priorities. According to the invention, the problem that the prior art is difficult to have high reliability and low time delay due to the dynamic change of the network environment caused by the position change of the unmanned aerial vehicle in the low-altitude Internet of Things is solved.

A method of processing a protocol data unit (PDU) set for a data network includes steps of (a) receiving a first PDU packet of the PDU set, (b) receiving, subsequent to reception of the first PDU packet, a second PDU packet of the PDU set, (c) determining, after receiving the first and second PDU packets, a congestion status of the data network for the PDU set, (d) controlling, based on the determined congestion status, a handling state of the second PDU packet to match a handling state of the first PDU packet, and (e) transmitting the first PDU packet and the controlled second PDU packet to a destination receiver of the data network.

The invention provides a multifunctional network protocol converter, which comprises a main control module, a switch chip, a communication module and a storage module, and is characterized in that the switch chip comprises a plurality of network ports, each network port belongs to the same intranet, and each network port can be independently provided with a communication mode, supports various different protocols and data forwarding configurations, can realize various forwarding modes, and is provided with a plurality of communication interfaces; the data exchange module provides a physical layer data exchange function; the main control module identifies, analyzes, stores, converts and encapsulates the data of different protocol types received by the network port and the communication module through the data storage protocol stack, forwards the encapsulated data of different protocols through the network port and the communication module, and integrates a switch, a protocol converter and a data processing function into one device; the system architecture is simplified, the problems of high network protocol conversion cost and complexity caused by the prior art are effectively solved, and the network protocol conversion cost and complexity are effectively reduced.

The invention provides an SOA architecture vehicle-cloud integrated communication middleware system and a deployment method, and the system comprises a unified communication interface module which is used for providing a Topic-based publishing / subscribing model communication interface for an application layer, and providing a Method-based client / server model remote service calling interface; the communication abstraction and adaptation module is used for performing unified abstraction and protocol conversion on various heterogeneous physical buses and communication protocols in the vehicle and among vehicle clouds; the system configuration and management module is used for carrying out centralized configuration and management on definition of communication interfaces, mapping relations of communication channels and system operation parameters; the system receives a communication request of an application layer through the unified communication interface module, obtains configuration information through the system configuration and management module, and adapts the communication request to a specific physical bus or a network protocol for transmission through the communication abstraction and adaptation module. According to the system and the deployment method provided by the invention, the service logic of the application layer and the complex communication of the bottom layer are thoroughly decoupled.

The invention relates to the technical field of network security, in particular to a network security operation and maintenance automatic analysis and response system based on artificial intelligence, which comprises an operation sensing module for acquiring a server state, extracting a security log, monitoring a network protocol and a transmission direction, identifying a performance bottleneck, sorting event data and generating a sensing summary sheet, the path offset identification module tracks a cross-domain path, identifies an abnormal path and generates an offset list; the behavior chain construction module sorts an event sequence and generates a behavior chain graph; the response processing module arranges processing steps, records a response process, generates an operation and maintenance execution sequence, synthesizes an output module to complete a process and generates an analysis result. According to the invention, by comparing the server resources with the historical reference, the abnormity is identified, and the event behavior basis is provided. And tracking cross-domain path lag and abnormity, and positioning threats. Arranging event data, and constructing an attack chain. The automatic response improves the speed and accuracy, shortens the response time, and enhances the attack handling capability.

The invention discloses a photovoltaic module health state real-time monitoring method, system and device and a medium, and relates to the technical field of photovoltaic energy monitoring and intelligent operation and maintenance, and the method comprises the steps: collecting the health data of a photovoltaic module through a photovoltaic module working state sensor and an environment sensor, and transmitting the health data through a multi-network protocol; a feature importance evaluation method is adopted to construct a priority scheduling model to dynamically adjust the photovoltaic module health data acquisition frequency, anomaly detection is performed on the acquired photovoltaic module health data on an edge device, a graph convolutional network and a time sequence prediction model are fused to construct a cloud model, an anomaly detection result is input into the cloud model, and the cloud model is subjected to feature importance evaluation. Health trend analysis and state prediction are executed through the cloud model; early warning grading processing is carried out according to health trend analysis and state prediction results, a multi-level response mechanism is established through a correlation analysis algorithm, and a maintenance resource linkage process is triggered. According to the method, the real-time performance of key data acquisition and the data transmission efficiency are effectively improved through a priority scheduling scheme based on the information entropy weight.

Methods and systems are provided for embedding cryptographically signed data in URNs of a network protocol. In embodiments described herein, uniform resource name (URN) for a request is generated through a network protocol where the URN includes a public key and a representation of the request. A signature is computed using a public-key signature algorithm based on the URN and / or any content data associated with the request using a private key associated with the public key. A signed URN is generated including the URN and the signature. The signed URN is then stored along with any content data associated with the request.

The present invention discloses a method for an intra-stack zero-copy Tx path in a shared-memory-based communication mode and pertains to the field of data communication technology, in which copying from shared memory to packet buffers is replaced with writing references to data in the shared memory into the packet buffers, eliminating creating a copy of the data in the packet buffers. An original Tx path in a network protocol stack is remodeled into a zero-copy Tx path without any modification to the application side while maintaining transparency and loose coupling of the network protocol stack to upper-layer applications. This eliminates data copying within the network protocol stack and data replication in LLC memory, thereby reducing unnecessary LLC occupancy and improving the network protocol stack's network performance in large-file transfers under heavy load conditions.

The invention discloses a piece placing sequence mistake proofing device which comprises a multi-dimensional sensing module, an intelligent control module, a reconfigurable positioning module, an execution intervention module, a block chain tracing module and a man-machine interaction module, and all the modules communicate through an industrial Ethernet. The multi-dimensional sensing module and the intelligent control module adopt a time-sensitive network protocol to guarantee the certainty of data transmission, the multi-dimensional sensing module integrates an AI vision assembly, an ultrahigh frequency radio frequency identification read-write unit and a polarized light detection assembly, and parallel acquisition and cross validation of cutting piece multi-dimensional information are realized through a time sequence synchronous triggering mechanism. According to the method, a full-dimensional recognition system can be constructed through cooperation of multi-modal sensing fusion and an intelligent algorithm to avoid a single detection blind area, multi-variety production requirements are adapted by relying on AI incremental learning and rapid remodeling design, non-tampering tracing of quality data is realized in combination with a block chain technology, and the method is suitable for mass production. And meanwhile, reliable operation of the system is guaranteed through redundancy control and emergency design.

The invention discloses a network flow processing method, device and equipment and a storage medium, and relates to the technical field of system resource management, and the method comprises the steps: monitoring a current network load of a computer system, and determining a to-be-isolated processor core from the computer system when the current network load is judged to meet a preset high load condition; binding the network data packet buffer area and the network protocol stack data structure to a high-speed cache of the processor core to be isolated, and distributing a target buffer pool for the processor core to be isolated in a memory area of a computer system to obtain a target processor core; the network data packet buffer area is used for storing a data packet related to an interrupt request in the current network flow of the computer system, and the network protocol stack data structure is a data structure related to the data packet; and respectively processing the interrupt request and other network flows through the target processor core and other processor cores. Therefore, high-intensity load change can be coped with in a mode of isolating the processor cores.

A network management method running on a network management device is used to determine a device configuration of a network device. The network management method includes obtaining a model name and a firmware version of the network device according a plurality of network protocols; obtaining or generating a device profile according to the model name and the firmware version; and generating or updating the device configuration of the network device according to the device profile. The step of generating the device profile according to the model name and the firmware version further comprises determining at least one probing control item of the network device according to the device profile; and probing an access interface of the at least one probing control item according to the plurality of network protocols respectively to update the device profile.

The invention provides a monitoring method and system for a high-frequency transaction scene based on an eBPF. The monitoring method comprises the steps that a pre-compiled eBPF byte code program is loaded into a Linux kernel; an eBPF probe is deployed at an event trigger point of each layer of the network protocol stack; establishing a data storage and processing mechanism in a kernel space by using an eBPF Map, acquiring real-time data through a probe, and performing preliminary analysis; further processing is carried out based on the analysis result, and if abnormity is detected, an alarm is given and information is recorded. The technical problem that microsecond-level continuous monitoring and accurate acquisition of abnormal events cannot be realized in high-frequency transactions is solved.

Disclosed is a system for providing dynamic spectrum access, the system comprising: one or more sensor nodes configured to collect environmental data; a plurality of Internet of things (IoT) gateways arranged in data or signal communication with the one or more sensor nodes via a network protocol, each IoT gateway comprising at least one spectrum channel; a distributed ledger configured for secure data processing between each of the plurality of IoT gateways and the one or more sensor nodes; and a dynamic spectrum access module arranged in data or signal communication with the plurality of IoT gateways, the dynamic spectrum access module configured to implement a deep learning algorithm, the deep learning algorithm configured to obtain the environmental data as input, parse the environmental data to obtain spectrum environment parameters, predict one or more use states of the at least one spectrum channel of each of the plurality of IoT gateways; and provide a spectrum access action based on the predicted one or more use states.

The invention provides a sparse adaptation circuit and a network-on-chip sparse data processing method, the sparse adaptation circuit is embedded between a network interface unit (NIU) and a router of an NoC system, and the sparse adaptation circuit comprises an input processing module, a compression engine and an output processing module; the sparse detection unit is used for performing real-time zero value detection on the data stream received from the network interface unit NIU to generate sparse identification information; the compression engine is coupled with the sparse detection unit and is used for carrying out dynamic compression coding on the data stream based on the sparse identification information; and the output interface is used for sending the processed data flow to a router in a format conforming to the network-on-chip protocol. In the network-on-chip, a hardware method is adopted to identify a data packet containing a large number of zero values in AI calculation and compress the data packet into a data packet only containing valid data, so that the problems of low transmission efficiency, waste of power consumption and the like caused by the fact that on-chip bandwidth is occupied by invalid data are avoided.

The invention relates to the technical field of hydropower station intelligent operation and maintenance, in particular to a hydropower station operation and maintenance system based on the Internet of Things, which comprises an intelligent sensing layer, an edge computing layer, a cloud analysis layer and a decision execution layer, and data interaction is carried out among the layers through a special industrial network protocol; the intelligent sensing layer comprises a multi-mode sensing array and an environment self-adaptive acquisition unit; the edge calculation layer comprises a multi-source asynchronous data alignment unit and a fault feature extraction unit; the cloud analysis layer comprises a digital twinborn updating unit and a collaborative decision-making unit; the decision execution layer comprises a self-adaptive control execution unit; cavitation erosion and mechanical vibration signals are monitored at the same time through the multi-mode sensing array, and the system can diagnose faults more accurately and reduce the misjudgment rate in combination with the compensation of the environment self-adaptive acquisition unit for external factors.

The invention provides a physical channel irrelevant VPN (Virtual Private Network) transmission system based on a double-end independent IP (Internet Protocol) stack, which is characterized in that a client component comprises a flow capture / injection module, an independent IP stack module, an adaptation layer and a physical channel driving module, the server component comprises a physical channel driving module, an adaptation layer, an independent IP protocol stack module and a back-end network interface module; the adaptation layer of the client component is connected with a physical link through a physical channel driver; the adaptation layer of the server component is in drive connection with the same physical link through a physical channel; and a bearer protocol data unit packaged by the adaptation layer is transmitted between the client and the server through a physical link, so that VPN tunnel transmission of an original IP data packet on a non-standard network interface physical channel is realized. According to the method and the device, the architecture of the independent IP stack and the adaptation layer is adopted, so that the equipment can still carry out secure transmission of the original IP data packet through the physical link under the condition of lacking the support of the standard network protocol stack, and the adaptability and the flexibility of the VPN are enhanced, especially in equipment with a non-traditional network interface.

The invention discloses an intranet terminal abnormal network behavior identification method and system, and the method comprises the steps: capturing network flow, extracting multi-dimensional heterogeneous features, and obtaining a feature embedding vector set through vectorization coding and IP segmentation embedding processing; constructing a semantic-space mapping mechanism between features, converting a logic neighborhood relationship in a network protocol into an Euclidean space neighborhood relationship in a pseudo-spatial feature grid, and stacking along a time dimension to generate a four-dimensional feature topology tensor; respectively extracting local correlation, axis distribution and long-distance dependence characteristics by using squares, bars and expansion convolution kernels which are arranged in parallel, and carrying out self-adaptive weighted fusion; and finally, based on the fusion feature vector, determining abnormity through a full-connection classification layer. According to the method, the discrete traffic data is converted into the pseudo-space tensor with semantic topology, so that the logic structure of network behaviors is effectively recovered, and the recognition precision of hidden attacks in an internal network and an industrial control environment is remarkably improved in cooperation with multi-scale convolution.

An AI-powered automated recruitment system for intelligent talent identification and selection, consisting of: a processing unit configured to execute machine learning procedures for adaptive candidate evaluation; a storage unit that is operationally connected to the aforementioned processing unit and is configured to store candidate data, trained model parameters, and records of the recruitment process; a video interaction unit consisting of a camera and an audio recording unit configured for conducting real-time or asynchronous interviews, wherein the processing unit analyzes the captured audiovisual data using natural language processing, facial recognition and sentiment analysis to generate behavioral assessment metrics; a speech analysis unit consisting of a speech recognition processor and an acoustic characterization subsystem configured to receive and analyze telephone candidate responses, with the processing unit deriving linguistic competence, tonal clarity, and confidence indices from the responses; a technical evaluation unit configured to deliver interactive programming tasks to candidate terminals, with the processing unit evaluating code execution output and logic efficiency and detecting plagiarism through code similarity comparison techniques; a data analysis unit configured to combine the outputs of the aforementioned video interaction unit, speech analysis unit, and technical evaluation unit to generate predictive suitability scores for candidates and recruitment performance metrics; and a communication interface unit configured to establish secure data transmission connections between the system and external personnel databases via encrypted network protocols.

The invention discloses a hierarchical Mama and multi-modal fusion unknown network threat detection method based on physical boundary perception, and relates to the technical field of network space security and artificial intelligence crossing, and the method comprises the steps: carrying out physical boundary perception preprocessing on original network traffic, and extracting byte modal features and statistical modal features; constructing a layered Mama encoder, extracting a load semantic feature of each data packet, and extracting a time sequence interaction feature between the data packets; inputting the byte modal features and the statistical modal features into a multi-modal gating fusion module to generate an anti-confusion stream representation vector; and based on the mask reconstruction pre-training model, calculating a reconstruction error of the input flow. According to the method, the physical level of a network protocol is strictly aligned, stable detection performance can still be kept, extremely high reasoning speed and low video memory occupation are kept, the limitation that a traditional closed set classifier can only recognize known attacks is broken through, and the blank of an efficient flow detection model in the field of open set detection is filled up.

The invention discloses a rapid topology sampling method and device for a large-scale constellation in an unreliable space environment, and mainly solves the problem of low sampling efficiency in the prior art. According to the implementation scheme, satellite constellation configuration parameters are obtained; different orbit link establishment modes of all satellite nodes under different distortion factors are determined; determining distribution modes of all satellite nodes on a virtual plane under different constellation configurations; judging whether the satellites have synchronism in the critical latitude region crossing event or not, and judging whether topological dynamics can be caused when the first orbit satellite and the tail orbit satellite cross the critical latitude region or not; automatically calculating the number and length of topology snapshots of constellation distortion topology in an orbit period according to a different orbit link establishment mode, a distribution mode of satellite nodes on a virtual plane and a topology dynamic result, and determining a distribution rule of inter-satellite topology snapshots; and converting a calculation result into an inter-satellite topology sampling time point and a corresponding topology snapshot length according to the distribution rule. The method is high in sampling efficiency and low in use threshold, and can be used for design and optimization of a large-scale distorted topological constellation network protocol.

The invention relates to a virtual consistency multi-node message passing interface expansion method, device and equipment. The method comprises the following steps: deploying a distributed file system client at each computing node of a multi-node cluster, creating a unified virtual directory mounting point, transparently converting a file operation request under the unified virtual directory mounting point into a corresponding network protocol, and docking a global unified data storage pool, the unified virtual directory mounting point is used for providing consistent file views for all the computing nodes; pointing a file read-write path prefix of the message passing interface process to the unified virtual directory mounting point; and in response to the received user operation request, allocating computing nodes to the user operation request, ensuring that all the allocated computing nodes are mounted to the distributed file system, and starting a message passing interface process. By adopting the method, the consistency of the cross-node file view can be solved from the system level on the premise of not changing the communication logic.

The invention relates to a method and a system for capturing and analyzing industrial network protocol data packets, which solve the technical problem that the existing industrial protocol analysis technology is poor in adaptability to unknown, private or non-standard protocols, and the method comprises the following steps: capturing and screening network data packets for protocol identification. If the protocol is the known protocol, calling a preset analyzer for analysis; if the protocol is an unknown protocol, extracting a protocol feature vector of the protocol, obtaining a candidate protocol and confidence through reasoning of a neural mapping model, and dynamically judging whether to start interactive reasoning to obtain user feedback, calibrating a parameterized protocol template and instantiating to generate an executable analysis rule according to the structural matching degree of an existing analyzer; and finally, registering and using the new analyzer to realize adaptive learning and analysis. The method has the following effects: intelligent identification of an unknown protocol, dynamic construction of an analyzer and system self-expansion are autonomously realized through an adaptive learning mechanism, and normal form upgrading from manual reverse analysis to system autonomous evolution is completed.

The application discloses a kind of power industrial control terminal network isolation method and system based on process security label binding;Belong to the technical field of power system network security, its operating steps include: decoupling physical network resources into independent partitions and mapping to independent user-mode network protocol stack instances;Through the bottom flow direction rule, the in-bound traffic is accurately delivered to the corresponding partition;Identify process security label at the application layer, establish the forced mapping of process and specific protocol stack instance and link;Through the controlled shared memory channel, realize the safe data interaction between partitions.The application realizes strong logical isolation on unified hardware, through the forced binding of process identity and network link, reduces the privilege promotion and horizontal penetration risk caused by traditional protocol stack sharing, while limiting the scope of failure impact, without relying on external physical isolation equipment, significantly improves the endogenous security protection capability of industrial control system network boundary.

This disclosure provides a method and system for automotive diagnostic services based on a modular UDS protocol, relating to the field of automotive UDS development technology, including a host computer, PCAN, and an electronic control unit (ECU). The ECU includes a network layer and a session layer. The host computer sends diagnostic messages to the ECU via PCAN. After receiving the diagnostic message from the host computer, the ECU distinguishes the network protocol control information type of the diagnostic message, determines whether the current network state of the network layer allows receiving the diagnostic message frame, and determines whether the addressing mode, session mode, and security level are equal to the ECU's configuration information. If the network layer allows reception, the session layer determines whether the ECU supports the service. After the session layer confirms the response type to be sent, the network layer sends one or more frames according to the protocol type. This disclosure enables rapid iteration when adding or removing UDS services, reducing code modifications.

The invention discloses an RTK (Real Time Kinematic) positioning method applicable to a quadruped robot in an outdoor wide area range, and aims to solve a series of problems caused by insufficient adaptability of an existing GNSS (Global Navigation Satellite System) RTK positioning scheme to the quadruped robot. Accessing a network differential data server by using an NTRIP network protocol through a built-in 4G mobile network receiver of the GNSS receiver, and trying to obtain RTCM3.2 differential data; in the GNSS receiver, if the RTCM3.2 differential data is successfully received, RTK calculation is carried out by combining the satellite original data and the RTCM3.2 differential data, and RTK positioning data is generated; and outputting the generated positioning data to a main controller of the quadruped robot through a communication interface of the GNSS receiver.

This application provides a method, apparatus, storage medium, and device for network protocol fuzzing. The method introduces retrieval-enhanced generation technology into protocol fuzzing. By retrieving external knowledge, it provides context for a large language model, ensuring the accuracy of protocol specifications and thus improving the accuracy of generated test cases in protocol testing. Simultaneously, it utilizes the large language model to analyze the out-degree value of the state of the seed to be mutated, and then intelligently allocates test resources based on the out-degree value, thereby enhancing the efficiency of state space exploration. Thus, by combining the large language model with external knowledge retrieval capabilities, test cases that conform to protocol specifications and cover more protocol paths are generated, effectively improving the effectiveness and coverage of network protocol security testing.

The invention discloses a cross-protocol interaction system and a cross-protocol interaction method. The cross-protocol interaction method comprises the following steps: creating a virtual network card and a static route indicating that the next hop of a data packet to be sent to a target local IP address in a Linux host points to the virtual network card in the Linux host; hijacking all outbound DNS requests in the Linux host and forwarding the outbound DNS requests to a target local port of the Linux host; capturing a target DNS request for analyzing the target domain name into a target IP address based on a second network protocol from a target local port, and forwarding a first data packet of a target server to be originally sent to the target IP address to the target local IP address by a target application program managing and controlling the target DNS request; obtaining a first data packet arriving at the virtual network card based on the static routing and forming a target data packet; and the cloud protocol conversion module converts the first data packet into a second data packet capable of accessing the target server of the target IP address according to the target data packet to access the target server.

The invention relates to a UDP communication fault diagnosis and recovery method based on protocol stack health degree multi-dimensional perception, and belongs to the technical field of embedded systems and computer network communication. According to the method, aiming at a difficult fault that Ping communication is carried out between devices but UDP applications cannot carry out communication, an internal state of a network protocol stack is actively sensed through a built-in diagnosis agent module, and a traditional external packet capturing means is replaced. The diagnosis process comprises the steps of link layer reachability verification, protocol stack load channel detection, Socket interface state auditing and memory pool and task health degree inspection. The system constructs a protocol stack health degree vector through multi-dimensional sensing data, and performs fault mode matching based on a preset rule base. Once the fault root cause is positioned, the system can automatically trigger a repair action or report an accurate alarm. According to the invention, through automatic and intelligent diagnosis and self-healing embedded in the system, the reliability and maintainability of the embedded network equipment are greatly improved.

This application relates to the field of electronic equipment technology, and discloses a device testing method, testing equipment, and storage medium. The method includes: loading and initializing a traffic classification module, a traffic isolation module, and an algorithm module at the kernel network protocol stack of the operating system of the device under test; using the traffic classification module to divert the test data of different test items to different queues based on the information of the test data of each test item in multiple test items; using the algorithm module to perform network impairment processing on the test data flowing through the traffic isolation module, so that the traffic isolation module outputs the impaired data; based on the impaired data, determining whether the network state of the device under test has been configured to a weak network state; if the network state of the device under test has been configured to a weak network state, evaluating the working state of the device under test, and determining the test result of the device under test based on the working state of the device under test. This application can test whether the device under test meets the requirements under a weak network state.

This disclosure relates to a data interaction method, apparatus, device, and medium based on wearable devices. The method includes: identifying a terminal device within a defined spatial range using the wearable device; generating a virtual wireframe and network protocol address for the terminal device; recognizing a user's palm within the defined spatial range to generate a virtual hand corresponding to the user's palm in the wearable device; determining a data interaction flow between the wearable device and the terminal device when the distance between the virtual hand and the virtual wireframe is less than a distance threshold and the target gesture of the virtual hand matches a preset interactive gesture; and performing data interaction between the wearable device and the terminal device according to the data interaction flow and the network protocol address. This method utilizes wearable devices to achieve data interaction between devices through gesture interaction, resulting in a more realistic interactive experience and more convenient operation.