770 results about "Networking protocol" patented technology

The invention relates to the technical field of ground mobile unmanned equipment control, and discloses a ground mobile unmanned equipment autonomous obstacle avoidance control system optimized by artificial intelligence. The system comprises an environment perception layer, a bimodal risk assessment layer, a dynamic decision-making layer, a trajectory optimization layer and a feedback optimization layer. The environment sensing layer adopts a retina fovea centralis imitating mechanism to perform non-uniform sampling on laser radar point cloud data to generate dynamic point cloud partitions; the bimodal risk assessment layer fuses two types of radar data to generate static and dynamic obstacle risk assessment diagrams; the dynamic decision-making layer establishes space-time mapping and generates an obstacle confidence coefficient matrix through a graph neural network; the trajectory optimization layer converts the matrix into a control parameter based on a multi-objective evolutionary algorithm, and issues the control parameter through a time-sensitive network protocol; and the feedback optimization layer monitors environment change, calculates deviation, generates an effectiveness index, and dynamically adjusts a point cloud acquisition strategy until the index is optimal. According to the system, the autonomous obstacle avoidance capability and adaptability of the ground mobile unmanned equipment in a complex environment are enhanced.

Technologies for creating an optimized and accelerated network pipeline using an emulated network pipeline abstraction layer (NPAL) of an emulated data processing unit (DPU), including an emulated processing device and an emulated acceleration hardware engine, are described. The emulated NPAL supports multiple network protocols and network functions in an emulated network pipeline. The emulated network pipeline includes a set of tables and logic organized in a specific order to be accelerated by the emulated acceleration hardware engine. The emulated acceleration hardware engine can process network traffic data using the emulated network pipeline.

The invention relates to the technical field of network management, and discloses an intent-driven network management method and system based on a large language model (LLM). The method comprises the following steps: receiving a natural language intention of a network administrator, analyzing the intention by utilizing a pre-trained large language model, extracting a key target and constraint, generating a configuration scheme of a TCP / IP or QUIC protocol based on an analysis result and a network protocol knowledge base, and ensuring the effectiveness and safety of configuration through a network constraint verification module. And the configuration passing the verification is applied to the network system. The system comprises an intention input module, an LLM analysis module, a configuration generation module, a verification module, an application module and the like. According to the invention, through conversion from automation intention to configuration, the network management process is simplified, the management efficiency and flexibility are improved, the method is especially suitable for multi-parameter optimization scenes of protocols such as TCP / IP and QUIC, and intelligent network management is realized.

Technologies for creating an optimized and accelerated network pipeline using a network pipeline abstraction layer (NPAL) are described. A DPU includes DPU hardware and memory that stores DPU software with the NPAL that supports multiple network protocols and network functions in a network pipeline. The network pipeline includes a set of tables and logic organized in a specific order to be accelerated by an acceleration hardware engine of the DPU. The acceleration hardware engine processes network traffic data using the network pipeline.

The invention discloses a network data integration analysis system and method based on a model context protocol MCP, and relates to the technical field of computer networks. The system comprises an MCP-LSP adaptation layer, a network analysis language server, an IDE plug-in, a remote cooperation management module, an MCP analysis engine, an LSP client and an IDE UI component. According to the invention, deep fusion of the network protocol analysis capability and the integrated development environment is realized; by constructing an MCP-LSP adaptation layer, a network analysis language server can convert a semantic analysis result of an MCP analysis engine into an LSP standard message format, and standardized services of functions such as protocol analysis, session state and anomaly detection are realized; the working efficiency of a developer is improved by the IDE plug-in; the remote cooperation management module realizes synchronization and sharing of session states, improves integration, expandability and cooperation efficiency of network analysis, and is suitable for diversified requirements of modern software development teams.

The invention relates to a network protocol intelligent extraction method and application based on a large language model, and the method comprises the steps: taking a network protocol specification text as an analysis object, and initializing each candidate prompt word; a large language model is constructed, scoring consideration of three indexes including accuracy, format compliance and coverage rate under network protocol specification text extraction application is achieved according to the candidate cue words, cue word variants under a preset cue word variant mechanism are matched under loop iteration, all target cue words are obtained in an optimized mode, and then the target cue words are obtained on the basis of all the target cue words; analysis and extraction of chart description are deepened, efficient and accurate acquisition of a target network protocol text about a protocol message format and a protocol interaction process is achieved by applying a large language model, and compared with a traditional method, the design scheme has obvious advantages in the aspects of accuracy, generalization ability, information utilization, complex protocol processing and the like. And a more efficient and reliable way is provided for extraction of protocol specifications.

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.

The invention discloses a direct memory access (DMA) communication device for a computing network convergence computing architecture and a working method of the DMA communication device. The DMA communication device comprises a DMA transaction processing module and a protocol conversion module; the DMA transaction processing module is used for analyzing related DMA read-write requests, realizing processing of the DMA read-write requests and receiving of response data of the DMA read requests and completing processing of interrupt requests at the same time, and the protocol conversion module is used for completing conversion of read-write requests between a DMA interface and an AXI interface and mapping of response states. The invention aims to realize efficient protocol conversion between AXI and DMA interfaces, avoid the problem of DMA read request starvation caused by resource competition and ensure the consistency of DMA data access so as to improve the performance of an accelerator in high-performance calculation and artificial intelligence application, reduce transmission delay and improve data transmission bandwidth and energy efficiency.

The invention belongs to the field of underwater acoustic networks, and relates to underwater Internet of Things, underwater environment monitoring, resource development and marine ecological protection. In order to provide an overall architecture of a simulation platform and an implementation technology of a core module of the overall architecture, and further enhance the simulation capability of an underlying protocol and a physical channel on the basis of being compatible with a standard network protocol stack and supporting seamless deployment of an existing application program, the invention provides an underwater Internet of Things semi-physical simulation system based on a container. Comprising a terminal host, a gateway node with underwater sound and wired network communication capabilities, and a plurality of real nodes which can be deployed underwater and have underwater sound communication capabilities, and an MAC simulation module and a channel simulation module are deployed on the terminal host and are used for constructing a simulation environment; and the semi-physical simulation interfaces are simultaneously deployed on the terminal host and the gateway node, so that traffic mapping in a simulation environment of the gateway node and the terminal host is realized. The method is mainly applied to design and manufacturing occasions of an underwater Internet of Things simulation system.

The invention belongs to the technical field of network security, and particularly relates to a network security protection system and method based on an electric power emergency communication environment, and the system comprises a quantum-classical hybrid encryption system which is used for generating a dynamic key in real time; the biological characteristic driven dynamic trust ring is used for equipment identity authentication; the unmanned aerial vehicle relay network protocol is used for data transmission; the secret key after-reading burn-down protocol is used for information secret key after-reading burn-down; a key output by the quantum-classical hybrid encryption system is used for authentication encryption of a biological characteristic driven dynamic trust ring, an unmanned aerial vehicle relay network protocol transmits data encrypted by the quantum key, and a key burn-down protocol is used for reading encrypted data to trigger a key burn-down mechanism. According to the method, the key security is improved, the network attack difficulty is increased, the communication delay in a disaster is reduced, man-in-the-middle capture and attack can be immunized, and the problem of contradiction between the encryption strength and the real-time performance 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 discloses a PON-based multi-protocol communication method and device, and the method comprises the steps: distributing a corresponding internal scheduling time slot to each network protocol processing unit for data uploading to each network protocol processing unit when a data processing module detects that the network protocol processing units connected with each field bus device have to-be-uploaded service data; and when one internal scheduling time slot is used up, interrupting the uploading of the service data until the next internal scheduling time slot allocated to the internal scheduling time slot is recovered from interrupting the uploading of the data. And the PON module monitors a global scheduling time slot allocation instruction issued by the optical line terminal in real time, converts an uploaded data frame into an electric signal, transmits the electric signal to the optical module through an internal link, converts the electric signal into an optical signal through the optical module in an allocated global scheduling time slot, and uploads the optical signal to the optical line terminal through an optical distribution network. Real-time performance and orderliness of transmission of service data in multiple field bus devices in a PON network are achieved, the requirement of industrial communication for data transmission is met, and transmission resource distribution is optimized.

The invention discloses a network protocol analysis system based on a model context protocol MCP, and relates to the technical field of computer networks. The system comprises an MCP module, a network analysis module, a data source module, a context module, an MCP interface, a data source interface and a network analysis interface. An MCP module, a network analysis module, a data source module and a context module. All the modules work cooperatively through standardized interfaces to form a unified network protocol analysis platform. The system supports a context-driven tool calling process and a double-channel execution structure, control logic and data transmission are decoupled, and efficiency and expandability in a large-size Pcap data processing scene are improved. Through a unified semantic modeling and context state tracking mechanism, through analysis of a multi-layer protocol, multi-round traceable execution of a task and structured expression of an analysis result are realized, and infrastructure support is provided for a modularized, pluggable and reusable intelligent network protocol analysis platform.

The invention discloses an anomaly monitoring method, device and system for edge equipment. The method comprises the following steps: acquiring a network protocol feature vector and a visual physical feature vector related to the edge equipment; inputting the network protocol feature vector and the visual physical feature vector into a preset Transform model for cross-modal feature fusion to obtain vector representations of the network protocol feature vector and the visual physical feature vector in a shared vector space; calculating to obtain a target similarity score based on the vector representation of the network protocol feature vector in the shared vector space and the vector representation of the visual physical feature vector in the shared vector space; the target similarity score is input into a preset reinforcement learning model, the reinforcement learning model judges the target similarity score based on a dynamic threshold mechanism, and when the target similarity score is smaller than or equal to a dynamic threshold, it is determined that the edge device is in an abnormal state. Therefore, the capability of monitoring the abnormal behavior of the edge device can be enhanced.

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 abnormal traffic monitoring, in particular to a network abnormal traffic monitoring method, device and system based on a large model, and the method comprises the steps: collecting the network traffic data of each period at a network interface, and building a periodic network data set; determining a flow characteristic value of the same period, determining a periodic sequence of the same network protocol, and calculating a time sequence fluctuation coefficient of a period determined by each period adjacent to the period before the period; marking a target period, determining the influence weight of the characteristics of the network flow data in the target period, and performing dimensionality reduction on the network flow data of all the periods according to the influence weights of all the periods; and constructing an isolated forest model according to the dimensionality-reduced network traffic data, performing dimensionality reduction on the network traffic data for network abnormal traffic monitoring, inputting the network traffic data into the isolated forest model, and obtaining a network abnormal traffic monitoring result according to an anomaly detection result. According to the invention, the interpretability of the data after dimension reduction of the network traffic can be ensured, and the abnormal network traffic can be accurately identified.

The invention discloses a starting method for a pre-starting execution environment, computer equipment and a related product, and relates to the technical field of computers, the method comprises the following steps: when a first network driver triggers a target unloading process due to loading of a second network driver and the first network driver has sent a network release message in the target unloading process, starting the target unloading process; monitoring an overtime event and a network reply message event of the monitoring timer; when the timeout event is monitored and the network reply message event is not monitored, triggering the first network driver to resend the network release message; and when the retransmission times exceed a preset retransmission threshold value, forcibly terminating the target event polling operation, and transferring the network control right from the first network driver to the second network driver, so that the second network driver takes over and continues to execute the starting process based on the own network protocol stack. The technical problem of deadlock in the starting process of the pre-starting execution environment in related technologies is solved, and the technical effect of improving the starting reliability of the pre-starting execution environment is achieved.

The invention provides a low-power-consumption wireless ad hoc network dynamic configuration method and system based on adaptive routing, and relates to the technical field of network protocols, and the method comprises the steps: determining a data transmission path through obtaining node working state parameters and calculating an energy level value, and setting a multi-level data cache occupation threshold value; calculating a network load distribution state, and carrying out differentiated scheduling on nodes; selecting a low-power-consumption forwarding channel based on node routing adaptability; and monitoring the network state in real time and updating parameters. According to the invention, the network adaptability is improved, the communication power consumption is reduced, the network life cycle is prolonged, and the data transmission efficiency is improved.

The invention discloses an agent-free honeypot mapping method and device, and relates to the technical field of network security. The method comprises the following steps: analyzing metadata of core switching equipment, and establishing a domain-address mapping matrix; periodically detecting an address space, constructing an IP asset dynamic portrait and generating an asset state map; deploying a cross-domain traffic forwarding protocol stack and a virtual domain identifier mapping rule; deploying a software-defined virtual switching unit and accessing the virtual honeypot probe cluster; allocating idle addresses for the probes and establishing a binding relationship; and periodically detecting and triggering a self-healing process when an address conflict occurs. The device comprises a core exchange and domain management unit, an IP asset detection unit, a network protocol configuration unit, a probe virtualization management unit, an address resource scheduling unit and a system cooperative control unit. According to the method, agency-free and automatic deployment of the honeypot is realized, and the problems that a traditional scheme depends on agency software, deployment is complex and IP conflict processing lags are solved.

The invention relates to a multi-Agent-based hierarchical progressive RFC state machine model extraction method, belongs to the technical field of network protocol extraction, and solves the problems that RFC document information is difficult to refine when a state machine model is extracted at present, the large model used for extraction is easily influenced by illusion due to the limitation of the large model, and the accuracy and recall rate are difficult to guarantee. Comprising the steps of obtaining an RFC document of a to-be-extracted state machine model and performing structured processing to obtain each RFC document block taking a title as a demarcation point; based on a preset protocol state machine term, recalling a core document block, a supplementary document block and a long tail document block from each RFC document block; extracting an initial state machine model from the core document block, performing review, and optimizing the initial state machine model based on a review result to obtain a reviewed state machine model; and on the basis of the supplementary document block and the long tail document block, performing supplementary optimization on the reviewed state machine model to obtain an RFC state machine model.

The invention provides an extensible encryption network protocol implementation method, a cryptographic algorithm negotiation method, a system, equipment and a medium, and relates to the technical field of information security. The method comprises the steps of obtaining an algorithm calling request of an application layer; calling a unified program interface of an algorithm compatibility layer according to the information of the cryptographic algorithm to be called; a unified program interface is adopted, and a query request of a to-be-called cryptographic algorithm is initiated to a providing program interface through a core program interface in the algorithm compatibility layer; a program interface is provided, and based on a query request of a to-be-called cryptographic algorithm, a calling method of the to-be-called cryptographic algorithm is queried from a preset cryptographic algorithm list; and calling the to-be-called cryptographic algorithm in the post-quantum cryptographic algorithm library in the extensible layer by providing a program interface. According to the method, the new cryptographic algorithm in the post-quantum cryptographic algorithm library is called, so that the expansibility of the cryptographic algorithm is improved, and the capability of resisting the attack of the quantum algorithm is also improved.

The invention relates to the technical field of collaborative response management, and provides a business system collaborative response method and platform driven by a video AI analysis result, and the method comprises the steps: receiving a frame sequence generated by aligning a multi-source heterogeneous video stream, carrying out the parallelization AI reasoning to extract multi-dimensional features into an event feature set, carrying out the association mapping with a business strategy library to generate a collaborative instruction packet, and carrying out the collaborative response of the business system. The information is distributed to an unmanned aerial vehicle cluster through a distributed message bus and the like according to a route, and a terminal linkage response is triggered. The technical problem that communication among unmanned aerial vehicle clusters is unstable due to the fact that a communication network is prone to being interfered or interrupted in complex environments such as a disaster site is solved, events in a video are analyzed and processed, the cooperative instruction packet is generated and distributed to the target unmanned aerial vehicle cluster, the unmanned aerial vehicle clusters can efficiently execute tasks, and the efficiency of the unmanned aerial vehicle clusters is improved. And a self-organizing network protocol is deployed to carry out distributed collaborative decision making, so that the communication stability of the unmanned aerial vehicle cluster is improved.

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.

The invention discloses a network protocol integrated development environment system based on a model context protocol MCP, and relates to the technical field of computer networks. The system comprises an IDE plug-in structure, a protocol analysis engine interface, a context awareness editing module, a user interaction interface and a collaborative view module. According to the method, a development tool is embedded through an IDE plug-in structure, a protocol analysis interface is called to carry out protocol structure identification and semantic modeling, and intelligent suggestions and semantic verification are provided in combination with context information in the protocol editing process. A user can carry out protocol structure editing and visual control through the interactive interface, and different roles can collaboratively carry out protocol design and verification tasks through the collaboration view module. The whole process forms a closed-loop mechanism from protocol modeling and semantic editing to context awareness suggestion, and high-intelligence and high-integration protocol development experience is achieved. The system significantly improves the efficiency and accuracy of protocol development, and is especially suitable for rapid prototype design and standardized development of complex network protocols.

The invention discloses an industrial network protocol integration platform realized based on JavaWeb. Comprising a protocol adaptation layer used for carrying out adaptive connection with each hardware interface, a service management layer used for carrying out configuration management and task scheduling optimization, an edge computing layer used for realizing data filtering and event triggering, and a cloud collaboration layer used for realizing big data storage and AI model reasoning prediction. The signal output end of the protocol adaptation layer is connected with the signal input end of the service management layer, the signal output end of the service management layer is connected with the signal input end of the edge computing layer, and the signal output end of the edge computing layer is connected with the signal input end of the cloud collaboration layer. Equipment instructions of different protocols are uniformly converted into a standard data format and packaged into a TCP / IP protocol for transmission, meanwhile, conversion of cross-platform protocols such as OPC UA is supported, and the multi-protocol compatibility problem of the industrial Internet of Things is solved.

In some embodiments, a wireless network architecture can include a network protocol configured to allow communication between a host device and each of an audio device and a human interface device. The network protocol can include a transaction having a time duration, with the transaction including a plurality of sub-transactions arranged in sequence. Each sub-transaction can have a time duration and a frame for the human interface device such that a latency period associated with the human interface device is greater than or equal to the time duration of the sub-transaction but less than the time duration of the transaction.

A system and method for technology stack discovery by performing active inspection of a cloud computing environment utilizing disk cloning is described. The method includes: generating an inspectable disk based on an original disk of a reachable resource, wherein the reachable resource is a cloud object deployed in the cloud computing environment, and accessible from a network which is external to the cloud computing environment; detecting a cybersecurity object on the inspectable disk, the cybersecurity object indicating a cybersecurity issue; selecting a network path including a network protocol to access the reachable resource; and actively inspecting the network path to detect the cybersecurity issue.

The invention discloses a digital aeronautical communication system design based on a cellular-free network architecture, which belongs to the technical field of aeronautical communication and comprises an aeronautical communication system and a communication service execution module. The aeronautical communication system comprises a network infrastructure and a communication link layer and is responsible for providing underlying physical connection and transmission environment support. The communication service execution module covers a network protocol and information interaction and task execution process; the network infrastructure adopts distributed AP topology planning, airport and route area APs are deployed in a differentiated manner, and parameters are dynamically adjusted in combination with a three-dimensional coverage optimization model; and software and hardware modules comprise ground APs and airborne terminals, so that the problems caused by high-speed movement are solved. The communication link layer carries out multi-dimensional channel modeling, and LDPC code coding and dynamic cluster generation are adopted. The working process comprises the steps of initialization, cluster construction, state monitoring and the like, stable communication in the whole flight process is achieved, and the aviation communication efficiency and safety are improved.