147 results about "Protocol specification" patented technology

A system for adaptively caching network communication protocols enhances efficiency across heterogeneous device environments through a multi-level cache architecture with device-capability-based tiers. The system collects endpoint telemetry data including device capabilities and operational constraints to classify endpoints and generate context-aware protocol variants optimized for specific device types. Protocol optimization opportunities are determined through structural analysis of message patterns and state transitions. The system performs protocol deduplication by identifying functionally equivalent variants and maintaining canonical representations to reduce cache redundancy. Cache synchronization across distributed nodes uses enhanced Merkle tree structures with protocol normalization processing. The system predicts communication needs based on historical patterns, network context, and endpoint constraints, enabling proactive cache management tailored to device capabilities. Integration with event-driven data communication systems enables seamless protocol selection and translation while maintaining compatibility between diverse endpoint types, from high-performance servers to resource-constrained IoT devices.

The invention discloses a virtual-real combination-based power generation side industrial control system network security target construction method. The method comprises the following steps of: constructing a virtual-real combination target environment consisting of a physical equipment layer and a virtual model layer; the heterogeneous industrial control protocol between the physical equipment layer and the virtual model layer is analyzed, protocol semantic information is extracted, and a bidirectional dynamic mapping rule of a physical equipment state and a virtual model state is generated based on the protocol semantic information; based on a state change event of the physical equipment layer, according to a bidirectional dynamic mapping rule, synchronizing changed equipment state data to the virtual model layer in real time, and simulating protocol behavior logic corresponding to the equipment state data in the virtual model layer according to a security test requirement; and based on the attack instruction or the abnormal state signal generated by the virtual model layer, according to the protocol specification format of the target physical equipment, converting the instruction or the signal into an executable control command, and driving the physical equipment layer to execute an operation corresponding to the control command.

The invention discloses a ship mobile energy storage system CAN communication protocol automatic test system and method, and the system comprises a protocol modeling and test configuration module, a simulation node behavior simulation module, a CAN bus interaction and power closed loop module, and a test analysis and result evaluation module. A CAN communication protocol specification of the ship mobile energy storage system and parameters of tested equipment can be obtained, a protocol analysis model and a test configuration file are constructed for format verification and logic consistency verification, meanwhile, a corresponding test case sequence is automatically generated, and the message sending time is controlled to generate a time sequence simulation message flow; and sending the time sequence simulation message flow to the tested equipment, simulating energy interaction behavior acquisition to generate a power feedback data set, testing to obtain a signal consistency deviation and a power execution error to construct a protocol conformity evaluation matrix, and generating a visual test report. According to the invention, the high coverage rate and automatic closed-loop test of the CAN communication protocol can be realized.

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 an intelligent gateway data processing method for industrial multi-protocol adaptive conversion, which aims at the current situation that various heterogeneous communication protocols exist in an industrial site and is based on a complete process of protocol feature vector extraction, machine learning automatic identification, semantic level analysis and mapping, dynamic rule configuration and protocol frame reconstruction. By constructing a protocol feature model library, semantic contents of original data frames are automatically identified and analyzed, and accurate equivalent conversion of multi-protocol data is further realized in combination with a protocol conversion rule and a unified semantic model. The reconstruction function frame realizes frame structure assembly, data coding and check calculation, and ensures that an output frame completely conforms to a target protocol specification. The method has high compatibility, high expansibility and good real-time performance, and the industrial protocol intercommunication efficiency and the automation degree are remarkably improved.

The invention discloses an industrial control protocol intelligent fuzzy test method and system based on a multi-agent large model, and relates to an industrial information security test method and system.According to the industrial control protocol intelligent fuzzy test method and system based on the multi-agent large model, the large model is enhanced by integrating the field of the retrieval enhancement generation (RAG) and the low-rank quantization adaptation (QLoRA) technology, and a multi-agent cooperation mechanism is combined; and full-automatic, high-precision and end-to-end fuzzy testing of the industrial protocol is realized. The system generates seed data meeting protocol specifications through the seed generation agent, the test case generation agent executes field, structure and semantic variation based on the seed data, efficient test cases are dynamically generated, a test strategy is optimized in real time through the feedback analysis and strategy adjustment agent, and the vulnerability discovery capability is improved. By dynamically adjusting the variation strategy and optimizing the generation of the test case, the coverage, the accuracy and the efficiency of the test are improved, and the security and the vulnerability detection capability of the industrial control system are remarkably improved.

The invention discloses a stateful protocol fuzz testing method and system based on a large model construction state machine, and the method comprises the steps: firstly preprocessing a protocol specification document, guiding an information large model to analyze through cue words to obtain state machine information, constructing an initial state machine through the state machine large model, and initializing a message dictionary; secondly, protocol testing is carried out based on an initial state machine, a prompt word is input into a large testing model to understand a flow log, a message field supplement and improvement dictionary is obtained, message request fields and response codes in the message dictionary are combined, the initial state machine is improved, and a fine-grained state machine is obtained; and finally, on the basis of a fine-grained state machine, inputting cue words, analyzing a blind area covered by the current test by an analysis large model, and guiding a fuzzy tester to preferentially test an uncovered state which is most likely to trigger the deep vulnerability, thereby completing the fuzzy test. According to the method, the fuzzy device directionally tests the potential test state area, and accurate and efficient fuzzy testing is carried out.

The invention provides a safety detection method for a vehicle-mounted network, a vehicle and a medium, and the method comprises the steps: extracting the statistical characteristics, protocol characteristics and sequence characteristics of communication data when the communication data of any channel in the vehicle-mounted network is monitored; determining a behavior detection result for measuring whether the communication behavior under the channel has behavior deviation or not according to the statistical characteristics, determining a protocol detection result for measuring whether the communication data meet a communication protocol constraint condition corresponding to the channel or not according to the protocol characteristics, and determining whether the communication data meet the communication protocol constraint condition or not according to the sequence characteristics. Determining an operation detection result used for measuring whether the communication data accords with an operation logic corresponding to the vehicle-mounted network; and according to the plurality of detection results, determining whether the communication data has security threats to the vehicle-mounted network. According to the method and the device, the behavior pattern, the protocol specification and the operation logic of the communication data are subjected to multi-dimensional analysis, so that the security threat of the vehicle-mounted network is accurately detected, and the security of the vehicle-mounted network is improved.

The invention relates to an equipment debugging method and system. The method comprises the steps that under the condition that connection with an information board is established, protocol specification data, sent by the information board, of to-be-debugged equipment is received, the information board is connected with the to-be-debugged equipment, a debugging configuration file matched with the to-be-debugged equipment is searched in a preset configuration database based on the protocol specification data, and the to-be-debugged equipment is debugged according to the debugging configuration file. The debugging configuration file comprises a protocol content configuration file and a user interface configuration file, loading a debugging interface matched with the to-be-debugged device based on the user interface configuration file, obtaining debugging data input by a user through the debugging interface, coding the debugging data based on the protocol content configuration file, and sending the coded debugging data to the to-be-debugged device. And sending the coded debugging data to the to-be-debugged equipment through the information board. By adopting the method, the debugging efficiency can be improved.

The invention discloses a protocol conversion method, which comprises the steps of receiving an original data frame from a charging power supply, extracting a protocol feature vector of the original data frame through a pre-trained machine learning model, and matching a first protocol type of the original data frame from a protocol feature library based on the protocol feature vector; calling an analysis rule base corresponding to the first protocol type to deconstruct an original data frame into intermediate layer data irrelevant to the protocol; and calling a field conversion rule from a protocol mapping table associated with the second protocol type, dynamically recombining the standardized field label in the intermediate layer data into a target data frame structure, and injecting a protocol control character originating from a target protocol specification to generate a target data frame conforming to the second protocol type. The method has the capability of adaptively learning a new protocol, reduces the manual intervention and maintenance cost, and improves the compatibility, communication reliability and overall operation efficiency of a battery replacement system for vehicles of different brands.

The invention provides an electricity meter multi-protocol self-adaptive docking method and system and a medium. The method comprises the following steps that an application system sends a control request to a core processing unit; the protocol router obtains a protocol plug-in according to the protocol type, and the core processing unit calls a standard interface in the basic protocol interface packet according to the operation instruction; implementing the standard interface by the protocol plug-in, and generating a message conforming to a protocol specification; the core processing unit issues the message to the target electric meter according to the target equipment address; the target electric meter reports a corresponding original message to the core processing unit according to the message content; the protocol router identifies a protocol type according to an original message and obtains a protocol plug-in, and the core processing unit calls a standard interface in the basic protocol interface packet; the protocol plug-in realizes the standard interface, and performs frame format verification, data integrity verification and message analysis on an original message in sequence; and the core processing unit extracts the standardized data after message analysis and pushes the standardized data to an application system.

The invention relates to the technical field of Internet of Things, and particularly provides a data format conversion method, system, device, equipment, medium and product, and the method comprises the steps: obtaining a communication protocol specification used by a transmission message based on the transmission message transmitted by a transmitting end; obtaining a coding and decoding strategy corresponding to the communication protocol specification, and obtaining target data of the transmission message based on the coding and decoding strategy; and converting the format of the target data into a format supported by the receiving end, and sending the converted target data to the receiving end. And obtaining target data of the transmission message through a coding and decoding strategy corresponding to the communication protocol specification, and sending the converted target data to the receiving end, thereby realizing data transmission between the sending end and the receiving end. The method is applied to the field of the Internet of Things, and for the Internet of Things devices using different communication protocols, the Internet of Things devices are accessed to a management platform by obtaining corresponding coding and decoding strategies, so that the management platform can provide access services for more Internet of Things devices.

The invention discloses a device verification method and an electronic device, and relates to the technical field of device verification, and the device verification method comprises the steps: responding to a condition that an authentication structure file signature accords with a protocol specification requirement of an authentication platform, carrying out the analysis of an authentication structure, and obtaining a terminal entity certificate, an encrypted device private key and a target verification code; verifying the encrypted device private key based on the unique identifier of the target device; in response to verification passing, decrypting the encrypted device private key to obtain a plaintext device private key; verifying the digital signature of the terminal entity certificate by using the authentication platform root certificate public key; in response to verification passing, generating a random number; obtaining a signature result of the response data packet; and if the authentication platform root certificate public key of the terminal entity certificate verifies the signature result successfully, determining that the target equipment passes the verification. The technical problem that an attacker simulates legal verification response and forges verification pass in the related technology is solved, and the technical effect of improving the equipment verification reliability is achieved.

The invention relates to the technical field of network communication, in particular to a high-efficiency message routing method of an independent gateway controller, which comprises the following steps of: constructing a routing table by analyzing network topology in a mode of combining a dynamic routing protocol with static configuration, mapping and storing a target address and a forwarding path, and transmitting a message to the gateway controller; the method comprises the following steps of: analyzing a source protocol frame structure to extract effective load data, repackaging the data according to a target protocol specification, realizing link redundancy by adopting a ring network protocol, automatically switching a standby link and maintaining an equivalent path when a main link fails, and obtaining a flow trend and performance data by monitoring a network load and an equipment state in real time. And dynamically adjusting a routing strategy according to the data, and periodically generating a performance report to obtain a continuously optimized routing scheme. According to the method, the problems that the routing table query efficiency is low and the routing strategy cannot be dynamically optimized according to the real-time state of the network in the traditional method are solved.

The invention discloses an autonomous evolution type 5G protocol fuzzy test system based on a large language model, and the system comprises a protocol extraction unit which employs the large language model to analyze a 5G protocol specification document, and extracts structured protocol knowledge elements containing a message format, state machine logic and parameter constraints; the vulnerability analysis unit generates a potential vulnerability description list through big language model reasoning based on the knowledge elements; the test strategy generation unit drives a large language model to generate a targeted test case based on protocol knowledge, vulnerability description and historical test knowledge in the dynamic test knowledge base; the test execution unit executes the use case and captures a result; and feeding back an analysis result of the internalization unit, extracting a causal rule, generating new test knowledge and feeding back the new test knowledge to the knowledge base. According to the system disclosed by the invention, test targets and resources can be autonomously scheduled according to continuous updating of the knowledge base, so that the test process has an iterative optimization capability, and full-process automation and intelligentization of 5G protocol fuzzy testing are realized.

The embodiment of the invention relates to the technical field of operation and maintenance, and discloses an intelligent fault self-healing and performance optimization method and device based on K8s and MCP, and the method comprises the steps: obtaining standard multi-dimensional data which is a comprehensive data set which accords with the MCP protocol specification and reflects the overall operation condition and performance of K8s; performing detection processing on the standard multi-dimensional data based on a fault detection model, identifying fault risk information, and positioning to a target fault based on the fault risk information and a preset knowledge graph; analyzing the standard multi-dimensional data by combining time sequence analysis with statistical analysis, predicting a prediction performance problem after the current moment, and identifying performance bottleneck information; generating a fault solving instruction based on the fault risk information and the target fault, and executing the fault solving instruction to realize fault self-healing; and generating a performance optimization instruction based on the performance bottleneck information and the prediction performance problem, and executing the performance optimization instruction to perform performance optimization. And the data interoperability is improved based on the MCP protocol specification.

The invention provides a method for testing an Internet of Vehicles protocol, and the method comprises the steps: obtaining a test parameter configured by a user through a user interaction layer, and converting the test parameter into structured configuration data; the protocol definition model analyzes the structured configuration data based on a predefined protocol specification to generate a test case definition file; the message simulator generates simulation message data according to the message template in the test case definition file; the automatic test framework executes the simulation message data to obtain a test result; and the user interaction layer formats the test result into a readable report and outputs the readable report. According to the invention, test automation and hardware removal are realized, and the test efficiency, accuracy and protocol adaptability are greatly improved.

The invention relates to the technical field of data processing, and particularly provides a method, a system, equipment and a medium for publishing JAVA API as an MCP server, and the method comprises the following steps: when a JAVA application runs, extracting metadata of all API interfaces by scanning registered request mapping in a Spring container of the JAVA application, and generating a structured ApiMetadata object set; generating a plurality of tool mode definitions conforming to a context protocol specification of a large language model in batches by using the ApiMetadata object set through a type mapping rule; on the basis of the tool mode definition, under the condition that a JAVA application does not need to be restarted, a corresponding API interface is dynamically registered to an MCP server, and the API interface can be configured to be found and called by a large language model in an intelligent agent. According to the method, second-level batch release from the JAVA API to the MCP tool is realized through non-intrusive scanning and automatic Schema generation.

The invention relates to the crossing field of cloud computing and artificial intelligence technologies, in particular to a tool deployment method, system and device based on a model context protocol, and aims at solving the problem that the integration process of scientific research tools and a large language model (LLM) is complex. A tool description file conforming to a model context protocol specification is automatically generated; in order to meet the rapid and efficient deployment effect of the scientific research tool, a pre-formulated hierarchical construction strategy is adopted, and a container mirror image is generated according to a running environment dependency list in a tool description file, so that the tool construction speed is increased; and meanwhile, on the basis of the security information field and the resource demand list in the tool description file, according to the preset allocation rule, the appropriate operation instance is dynamically allocated, so that the security in the tool deployment process is guaranteed, and the integration and deployment operation efficiency of the tool and the large language model is improved while the labor cost is reduced.

The invention discloses a test data generation method and device, equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: determining a target message protocol file corresponding to a standardized data template corresponding to business transaction data; transmitting the standardized data template to a target message protocol file; when the transmission is completed, performing format conversion on a message protocol in the standardized data template based on a message protocol grammar rule in the target message protocol file to obtain message protocol specification data; and injecting the message protocol specification data into the sending message to generate test data. According to the invention, the message protocol in the standardized data template can be converted into the message protocol specification data based on the message protocol grammar rule, and the message protocol specification data is injected into the sending message to generate the test data, so that the problem that in the prior art, the message system test depends on the technical specification of the message system of manual learning is solved; and the test accuracy is not high.

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 embodiments described herein implement a protocol decoder tool designed by a hardware engineer in a hardware description language (HDL) in a simulator tool for testing and / or in a signal analysis system for decoding protocols in real-time. For example, a user (e.g., hardware engineer, hardware designer, protocol designer) may design a protocol using an HDL and design a protocol decoder tool for decoding the protocol in the HDL. Register transfer level (RTL) files with protocol decoder logic in the HDL may be converted from the HDL to a second language by a converter, compiled into a decoder module by a compiler, and executed in a signal analysis system as the protocol decoder tool. As such, errors in misinterpretation of protocol specifications may be reduced.

The application relates to the fields of network communication anomaly detection and intelligent operation and maintenance, in particular to a behavior reasoning and AI intelligent disposal method and system for communication anomalies, which comprises the following steps: collecting communication interaction time sequence data and protocol stack resource state data; constructing an ideal communication state model based on interface contract analysis results, protocol specification analysis results and queuing rules, and generating an ideal communication track benchmark according to a service request sequence in a preset time window; respectively performing fault attack knowledge injection and service load fluctuation rule injection to generate abnormal scene simulation tracks and service tide simulation tracks; performing difference calculation on real observation features and the ideal communication track benchmark to obtain a real residual space, and generating an abnormal theoretical residual space and a service tide theoretical residual space; generating abnormal type results and root cause results based on the topological similarity between the residual spaces, and outputting corresponding intelligent disposal instructions; and the application can accurately identify high-concurrency legal tides and real attacks.

The invention discloses an industrial control private protocol vulnerability mining method based on protocol analysis. The method comprises the steps of 1, preprocessing industrial control protocol flow data; and 2, analyzing the target protocol by using the byte change characteristics and the heuristic rule. And 3, generating a test case of the target protocol by using the analysis specification. And 4, reconstructing a protocol state machine by using the state conversion track of the flow, and guiding the protocol to reach a target state for testing. And 5, tracking the state of the detected target and monitoring and positioning the triggered vulnerability through a network. According to the method, the analysis accuracy of the private protocol specification can be effectively improved, the test case acceptance rate, the test target anomaly rate and the state coverage rate in the fuzzy test process are remarkably improved, and meanwhile, more protocol states can be efficiently tested under the condition of the same number of test cases so as to mine more potential vulnerabilities in the protocol.

Provided in the present application are a communication method and an apparatus. The method comprises: a first communication apparatus receives configuration information on a first cell, then receives a first reference signal on a first reference signal resource and receives a second reference signal on a second reference signal resource, and then may send channel state information (CSI), wherein the RAT used by the first cell is a first RAT, the configuration information can be used for configuring the first reference signal resource and the second reference signal resource, the second reference signal resource complies with the protocol specifications of a second RAT, and the CSI is obtained on the basis of the first reference signal and / or the second reference signal. The first reference signal resource and the second reference signal resource are configured for the first communication apparatus, such that the first communication apparatus can measure the reference signals of different RATs, so as to help to improve the performance of beam management / channel measurement, thereby reducing reference signal resource overheads, and improving spectrum sharing efficiency.

The application discloses a kind of electric energy meter protocol data full traversal automatic test method and electric energy meter, comprising the following steps: the protocol supported by electric energy meter is modeled, and the electric energy meter data format type in protocol is defined;Establish the protocol information table of electric energy meter to be tested, and the electric energy meter protocol message is generated for each protocol in protocol information table to be tested according to electric energy meter protocol specification by master station request message generation module;According to the format corresponding to the protocol in protocol information table to be tested, generate normal test message and abnormal test message, and respectively expect normal response and abnormal response;Virtual message receiving module is generated by protocol request message generation module of master station request message generation module, and protocol request message is placed in electric energy meter communication port drive cache, and electric energy meter executes protocol processing according to protocol request message;Statistical electric energy meter protocol running result, complete all protocols of protocol information table to be tested Full traversal automatic test.The application solves the technical problem of how to accurately and quickly perform electric energy meter protocol data full traversal automatic test.

This invention discloses an IoT fuzzing method based on LLM-guided and FSM dynamic inference, belonging to the field of IoT network security and software testing technology. Addressing the problems of low coverage and inaccurate state machine inference in current IoT protocol fuzzing, this invention first constructs an initial FSM by combining IoT protocol specifications and captured traffic data. Then, it generates a large number of test cases through mutation of seed test cases for fuzzing testing. Features are extracted from device responses, and state identification is performed by calculating similarity. When a new state appears, the FSM and state fingerprint database are updated. When coverage becomes a bottleneck, LLM-guided path inference is used to generate extended sub-FSMs and test cases, which are then executed. The FSM is then corrected based on the test results. This invention enables high-precision automated construction of IoT protocol state FSMs, improving test coverage and enhancing the efficiency and accuracy of vulnerability discovery.

The invention relates to the technical field of data link communication abnormal flow detection, in particular to a high-speed aircraft data link communication abnormal flow detection method and system, and the method comprises the steps: judging a communication message which accords with a preset data link communication protocol specification as a protocol layer compliance message, and carrying out the analysis to obtain a formation cooperation instruction; collecting multi-source task context information of a local high-speed aircraft to generate a task execution field snapshot; projecting the formation cooperation instruction to the task execution field snapshot for comparison and analysis to obtain a multi-dimensional semantic comparison result; if all the multi-dimensional semantic comparison results are passed, the corresponding communication flow is judged to be task-driven normal collaborative flow; and if the judgment result of the multi-dimensional semantic comparison result is that the flow does not pass, judging the corresponding communication flow as the intention camouflage type spoofing abnormal flow. The deception traffic of which the protocol layer is compliant but the tactical intention is abnormal is effectively identified, so that the accuracy of high-speed aircraft data link communication abnormal traffic detection is improved.

The invention relates to the technical field of integrated circuits and provides a verification platform for PCIe6. The invention provides a universal physical layer intellectual property core verification platform under PCIe bus protocol specifications, which can adapt to the improvement of the highest transmission rate and the maximum transmission bandwidth supported by the PCIe6 protocol, and can adapt to the customization requirements from the interface bandwidth, the clock mode and the working mode to the physical interface version proposed by rapid iterative development; the object-oriented expandability and the support for multiple modes and polymorphism are provided; the loss that a set of special directional verification platform needs to be developed again after the chip design or verification scheme is adjusted each time is avoided, the updating cost of project early-stage development and middle and later-stage iterative maintenance is reduced, the human input of the whole project is saved, and the chip research and development period of the whole project is shortened.

The invention belongs to the technical field of maintenance platforms, and provides a test maintenance platform and a maintenance method for a combiner box measurement and control all-in-one machine, and the maintenance platform is provided with a power module, an interactive interface, a maintenance module, a communication conversion module, a host and a test module. The power module is connected with the interaction interface, the maintenance module and the host. The communication conversion module is provided with a plurality of conversion interfaces of different specifications, and each interface is provided with a plurality of protocols and can be connected with the combiner box measurement and control all-in-one machine and convert signals of the combiner box measurement and control all-in-one machine into target signals. The host is connected with the communication conversion module through the conversion interface, and the interaction interface and the test module are connected with the host. The components are integrated on the maintenance platform, various testing and maintenance functions are integrated, and the operation process is greatly simplified; the platform design gives consideration to operation convenience, so that technicians can complete the whole process from fault diagnosis to maintenance on a unified interface.