193 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 discloses a configurable multi-slave-station frequency conversion communication system based on Modbus communication. The configurable multi-slave-station frequency conversion communication system comprises an upper computer, a Modbus communication module and a lower computer, wherein the upper computer communicates with the lower computer through the Modbus communication module, and the upper computer constructs and sends a command frame to the lower computer according to a Modbus communication protocol specification; after receiving the command frame of the upper computer, the lower computer analyzes the command frame, executes corresponding operation according to a command frame analysis result, encapsulates a response frame and returns the response frame to the upper computer; and after receiving the response frame of the lower computer, the upper computer analyzes the response frame to analyze the required data. Compared with the prior art, the system disclosed by the invention has the advantages of high flexibility, high reliability, resource saving, high efficiency, easy expansion, high data transmission speed, high expandability and the like.

The invention provides an automatic network protocol testing method and system based on a large language model. According to the method, through three core technologies of structured protocol specification extraction, hybrid test case generation and retrieval feedback enhanced code generation, full-process automation from a protocol specification document to an executable test code is realized. The method comprises the following steps: firstly, carrying out preprocessing and structured analysis on an RFC document, and extracting protocol field information and state machine description; a complete test case covering normal, abnormal and boundary conditions is automatically generated based on protocol elements; and finally, an initial test code is generated in combination with a test equipment API document retrieval result, and multi-round iterative optimization is performed through running log analysis and an experience knowledge base. Compared with the prior art, according to the scheme, an end-to-end automatic test work chain is achieved, new protocol testing can be adapted without manual protocol modeling, meanwhile, a large language model and expert experience are fused through a feedback mechanism, and the test efficiency and the code quality are remarkably improved.

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 provides an import and export trade data exchange system, which comprises a policy negotiation module, a key management module, a protocol conversion module and an anti-degradation transmission module, wherein the policy negotiation module is used for dynamically generating an encryption policy matrix of multiple systems according to encryption capability parameters of participating systems; the key management module is used for generating a cross-system dynamic key based on the encryption strategy matrix; the cross-system dynamic key is generated through cryptographic operation fusing a source system private key and a target system public key; the protocol conversion module is used for analyzing an original protocol message into a field set, mapping a field type to a target protocol specification through a quantum state superposition model, and generating an encrypted message compatible with a target system; and the anti-degradation transmission module is used for carrying out anti-degradation secure transmission processing on the encrypted message to obtain an anti-degradation encrypted data stream. By adopting the system, the security, compatibility and reliability of the data in the exchange transmission process can be ensured.

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 relates to a network protocol specification automatic extraction method based on a large-scale language model, which comprises the following steps of: firstly, determining each chapter corresponding to network protocol message format content and finite-state machine content in an RFC document in a matching manner, and then, carrying out secondary confirmation on the corresponding relationship of each chapter with respect to a network protocol by applying a target large-scale language model, the method comprises the following steps of: extracting a message format and a finite-state machine of a network protocol in an RFC document, analyzing a corresponding extraction field, determining each target chapter, finally extracting each extraction field in each target chapter by applying a target large language model, and combining to form the message format and the finite-state machine of the network protocol in the RFC document, and the design method overcomes the limitation of the prior art, supports automatic understanding and analysis of the network protocol, and improves the efficiency. Therefore, more accurate and efficient network protocol extraction is realized.

The invention discloses an analysis method of an industrial communication protocol, and particularly relates to the field of industrial communication. Dividing the data frame into a standard protocol frame and a non-standard protocol frame through an industrial communication protocol specification; performing consistency evaluation on key communication parameters in the standard protocol frame to ensure the logic rationality of the data frame; dynamic fields in the non-standard protocol frame are analyzed, the compatibility of a frame structure to industrial communication protocol variation is evaluated, and the adaptive capacity of an analysis strategy is improved; and judging whether the current analysis strategy needs to be updated or not according to the consistency and compatibility results, evaluating the adjustment adaptability of the analysis rule, and quantifying the influence degree of rule adjustment on the analysis precision. Through comprehensive analysis of the consistency score, the compatibility coefficient and the accuracy coefficient, the reliability of the current analysis strategy is determined, challenges of multi-protocol coexistence and dynamic change in a complex industrial communication environment are effectively dealt with, and a technical guarantee is provided for stable and efficient operation of an industrial network.

A cyber-security analysis method uses machine learning (ML) technology to classify cyber-threat indicators, for example, as malicious or benign, by generating a threat score. The method includes receiving, at a compute device, a cyber-threat indicator (IUE) and associated verdicts from a set of sources. Augmenting the verdicts associated with the IUE with verdicts associated with at least one related indicator having a defined relationship with the IUE. The relationship between the IUE and the at least one related indicator can be operational, e g., based on an administrative domain, or functional, e.g., based on a protocol specification. The cyber-threat score is generated for the IUE based on the ML model and the combined verdicts of the IUE and the at least one related indicator.

The invention discloses a network protocol fuzzy test method based on a large language model, which is characterized in that key information is automatically identified and extracted from a network protocol document by utilizing an advanced natural language processing technology, then a knowledge graph is constructed, and a fuzzy test driver is generated through cue word engineering on the basis of the graph. The method comprises the following steps: firstly, creating a network protocol knowledge graph, processing a related network protocol specification document by using a large model, creating references to all message type entities and protocol related states in the document, and then generating the network protocol knowledge graph by using the information through the large model; then, using the knowledge graph to create clusters from bottom to top, hierarchically organizing data into semantic clusters, and summarizing semantic concepts and topics in advance, so that comprehensive understanding of a network protocol is facilitated; the test driver code is then generated based on the prompt enhancement at the time of the query.

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 invention provides an automatic vulnerability analysis method based on a protocol specification state machine, and relates to the technical field of the Internet, and the method comprises the steps: carrying out the mapping of an input symbol sequence according to a mapping relation to generate first mapping data, inputting the first mapping data into a target system for processing, and obtaining a first output symbol sequence, determining a first finite-state machine model, mapping the input symbol sequence according to the protocol specification to generate second mapping data, and determining a second finite-state machine model directory; and generating a first state diagram and a second state diagram, comparing the first state diagram with the second state diagram to determine a target path, and analyzing the target path to determine the vulnerability. The target system and the protocol specification are analyzed to generate the state diagrams, and the state diagrams are compared, so that detection and comparison of the system vulnerabilities are realized, the probability of system security problems caused by the system vulnerabilities is reduced, and the system vulnerability detection efficiency and the system security are improved.

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 belongs to the technical field of power system industrial control network security, and particularly relates to an LSTM-based power system industrial control communication protocol message anomaly detection method and a related device. According to the scheme, aiming at an IEC 60870-5-104 protocol, communication protocol specifications and actual message transmission logic are analyzed, multiple types of typical service logic abnormal messages are constructed, an LSTM algorithm is adopted to carry out abnormal detection model training, and an optimal model is obtained to be used for abnormal detection of power system industrial control communication protocol message service logic. The method overcomes the defect that an existing artificial intelligence-based algorithm focuses on only normal or abnormal dichotomy of a single-frame message, lacks consideration of message service logic, makes up for the defect that a rule-based design class method cannot identify unknown abnormity, improves the reliability and efficiency of a power system, and improves the reliability and reliability of the power system. And the capability of protecting various network security threats is enhanced.

The invention belongs to the technical field of information, and particularly relates to an industrial control network fault detection method, device and system. The method is realized by constructing a unified protocol specification. Different from a traditional deep packet detection method, a protocol specification aims at a proprietary application layer protocol, only the effective load of a data packet is processed during operation, and the complexity brought by matching of multiple rules is reduced. The construction of the special protocol specification also brings flexibility, the analysis depth of different granularities is constructed for the specific industrial control application layer protocol, different applications can be distinguished in the flow semantic analysis process, and the unique protocol specification is used according to the actual application scene, so that the difference caused by different application granularities is avoided.

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 relates to the technical field of computers, and particularly provides a method for adaptively shielding shortcut keys under a Linux operating system, which comprises the following steps of: defining a DBus protocol specification for registering a shortcut key shielding service; after the system is logged in, starting a shortcut key process, monitoring registration and logout of all shielding shortcut key services through the DBus API, updating a blacklist shortcut key list, monitoring shortcut key events from the system at the same time, and judging whether the current shortcut key event responds normally or not according to the current blacklist shortcut key list; and in response to starting of the target application, registering a shortcut key shielding service according to a DBus protocol specification, then setting a shortcut key needing to be shielded, and in response to exiting of the target application, cancelling the corresponding shortcut key shielding service. The technical problems that an existing shortcut key shielding mode is high in development adaptation cost and low in system flexibility are solved.