48results about How to "Guaranteed credibility" patented technology

The invention discloses a generative AI operation decision-making system based on an organization strategy and a vehicle context. A multi-source situation data access module, a strategy knowledge graph construction module, a multi-modal situation fusion module, a generative AI decision module, a digital twinborn simulation verification module, a strategy compliance arbitration module, a decision optimization and explanation generation module and a decision execution and monitoring module are integrated into a closed-loop system. A candidate decision is dynamically generated by structuring an organization strategy and deeply fusing the organization strategy with real-time data, then feasibility and risk are predicted through high-fidelity simulation, high consistency of the decision and a rule is ensured through automatic compliance verification, and finally a reliable decision which is subjected to multi-objective optimization and attached with natural language explanation is output. Therefore, the illusion problem of application of the generative AI to vehicle operation is solved, the defects of lack of constraints and unpredictable output are overcome, and safe, reliable, compliant, controllable, stable and explainable intelligent operation decision is realized.

The present application relates to a kind of preparation methods of essence.The problems that traditional process parameter adjustment relies on artificial experience and is difficult to realize cross batch self-adaption, multi-modal feature extraction, parameter-function-stage three-dimensional label matrix generation, graph neural network behavior atlas construction and expert strategy distribution constraint dual-channel strategy learning method are proposed.By process parameter and derived feature multidimensional fusion, time series causal strength analysis and action instruction simulation verification, optimization process parameter combination with explainable function synergistic relationship can be output.The technical scheme effectively realizes the automatic optimization of process control decision and the rapid self-adaption of model under new raw material batch, improves product consistency, quality stability and control energy efficiency.

This utility model provides a fixing device for mounting a shooting device, including an antenna, a fixing mechanism for fixing and connecting the shooting device, and a connecting mechanism. The fixing mechanism includes a fixing base, an adjustment component rotatably mounted on the side wall of the fixing base, and two clamping arms disposed on opposite sides of the fixing base for clamping the shooting device. A fixing hole is provided through the fixing base. The connecting mechanism includes a connecting base and a signal transmission component disposed on the connecting base for electrically connecting the shooting device. The surface of the connecting base facing the fixing base is recessed inward to form a connecting groove for mounting the signal transmission component. The fixing device provided by this utility model ensures the stability and reliability of the connection between the shooting device and the antenna, thereby ensuring stable antenna signal transmission, ensuring the continuity and credibility of key data, and thus ensuring the effectiveness of law enforcement evidence collection and improving work efficiency.

The invention provides a weak illuminometer calibration system and calibration method. The method specifically comprises the following steps: S1, determining a calibration coefficient of a measurement system; s2, calculating to obtain a corresponding illumination correction factor; and S3, calculating a standard micro-illuminance value of the calibrated illuminometer by combining the display value of the first luminosity detector, the calibration coefficient and the illuminance correction factor under the corresponding aperture, and obtaining a relative indication error of the calibrated illuminometer by comparing a response value Ex of the calibrated illuminometer with the standard micro-illuminance value. Based on a highly-integrated linear optical system, the problems that in a traditional mode, the calibration process is tedious and prone to being interfered by the environment, errors are transmitted step by step, and precision is insufficient due to light intensity attenuation are solved, efficient, high-precision and traceable calibration in a weak illumination interval is achieved, operation is easy and convenient, and cost is low.

The invention discloses a supply chain full-process traceability tracking method based on a block chain, and relates to the technical field of block chain and supply chain traceability, and the method comprises the specific steps: collecting supply chain node identity qualification basic information, and carrying out the structural processing; generating a unique initial dynamic chain code by using an encryption algorithm, and storing the unique initial dynamic chain code in a main chain after binding the unique initial dynamic chain code with qualification information hash; integrating the collected data into traceability data and checking node identities and chain codes; after the verification is passed, the traceability data is bound with a chain code for the second time, and a timestamp is added for chaining; updating the chain code according to the service state, adding an identifier to the old chain code and permanently storing the identifier; according to the invention, a rigorous node identity authentication system is constructed, so that the credibility of a traceability subject is guaranteed, and identity and qualification data can be traced and verified in the whole process; multiple terminals collect data cooperatively, completeness and timeliness are ensured through multiple associations, chain code dynamic update adapts to service changes, and data association continuity is ensured; the whole-process mechanism effectively solves the problem of traditional traceability data splitting.

The invention discloses a public institution internal data sharing method based on multi-source data fusion, and relates to the technical field of data sharing. According to the method, four-quadrant accurate division is carried out on multi-source fusion three-medicine structured data on the basis of sensitive risk scores and utility influence tolerance, differential noise adding strategies are matched in a targeted mode, and three kinds of deviation verification of medical quality, medical insurance fund risks and medicine supply and demand results and noise iterative optimization are combined, so that the multi-source fusion three-medicine structured data is obtained. And finally, through block chain intelligent contract encryption sharing, the problems that a traditional differential privacy technology is rigid in noise intensity setting and is difficult to adapt to data of different privacy levels are solved, dynamic balance between privacy protection strength and data availability is realized, meanwhile, the security and credibility of a data sharing process are guaranteed, and the data sharing efficiency is improved. On the premise that the multi-source heterogeneous public institution internal data meets the privacy security requirement, the practical value of supporting core services such as medical quality evaluation, medical insurance supervision and drug supply and demand allocation is reserved to the maximum extent.

The invention discloses a fault root cause positioning method, apparatus and device, and a readable storage medium. The method comprises the steps of determining a multi-source abnormal feature; obtaining a domain knowledge graph; retrieving an analysis basis from the domain knowledge graph; performing root cause tracing by using the preliminary screening layer in combination with an analysis basis, and generating a root cause reasoning process and a reasoning complex score; when the reasoning complex score is lower than a complex threshold value, generating a root cause analysis report by using a conclusion generation layer; when the reasoning complex score is not lower than a complex threshold value, a depth reasoning layer is called to carry out depth causal reasoning, and a reasoning thought and a root cause propagation path are generated; and generating a root cause analysis report based on the reasoning thought and the root cause propagation path by using a conclusion generation layer. Visibly, according to the invention, through a hierarchical reasoning architecture and a domain knowledge graph, reasoning ideas of faults with different difficulty can be clearly presented while the reasoning efficiency and the fault root cause positioning rate are improved, and the credibility and verifiability of various fault root cause positioning conclusions are improved.

This invention discloses a hardware verification circuit for quantum telemetry and control link calibration and measurement results, belonging to the field of high-precision hardware technology for quantum telemetry and control. The circuit includes a link characteristic measurement unit, a parameter compensation storage unit, a hardware compensation controller, a hardware redundancy verification unit, and a calibration parameter storage unit with a one-time programmable fuse. All calibration rules and verification parameters are permanently fixed using the one-time programmable fuse and cannot be modified by software. This invention achieves full-dimensional calibration of the quantum telemetry and control link and hardware-level anti-tampering verification of measurement results through a pure hardware circuit, solving the problems of existing technologies where link calibration relies on software, accuracy is insufficient, and measurement results lack hardware-level protection. It can improve the synchronization accuracy and reliability of quantum telemetry and control results, and is suitable for various high-precision quantum telemetry and control scenarios.

The invention discloses a dynamic behavior authentication security system and method for industrial Internet of Things equipment, and relates to the technical field of authentication security. During operation of the system, equipment dynamic parameters including electromagnetic radiation spectrum, power supply ripple, micro-current jitter, micro-vibration entropy, thermal transient recovery, clock phase noise and network delay jitter are acquired; the method comprises the steps of forming an original multi-channel signal flow, performing preprocessing, constructing a multi-working-condition reference fingerprint database, calculating deviation of each parameter based on a distribution distance, aggregating the deviation into physical layer deviation and network layer deviation through an unweighted norm mode, generating a behavior consistency index BCI based on the deviation of the physical parameter and the network parameter, performing first evaluation and grading judgment, and performing second evaluation and grading judgment. According to the method, perturbation challenges are injected into gray area equipment, multi-dimensional responses under perturbation are collected, an active challenge coherence consistency index ACCI is calculated, and equipment authority adjustment, network segment isolation, degraded operation or safety linkage measures are executed based on double evaluation results of the BCI and the ACCI.

This invention discloses an intelligent adaptive dose verification calculation method and system. The intelligent adaptive dose verification calculation method includes: obtaining preliminary dose distribution data for a patient based on a deep learning-based dose prediction model; dynamically assigning variance reduction parameters to particles in a Monte Carlo simulation based on the high and low dose distribution information in the preliminary dose distribution data, wherein the variance reduction parameters include simulation weights, with simulation weights assigned to particles predicted to be in high-dose regions being less than those assigned to particles predicted to be in low-dose regions; and using a Monte Carlo dose calculation engine, simulating the planned beam based on the dynamically assigned variance reduction parameters to obtain high-precision verification dose distribution data. This invention's intelligent adaptive dose verification calculation method ensures the physical authenticity of the final verification dose distribution and the credibility of the "gold standard."

This invention relates to a method and system for accessing the trusted space of inland waterway shipping data under zero-trust conditions. It includes defining the shipping trust status and transformation rules of participating entities, constructing a risk scoring model to calculate the risk score of shipping behavior, introducing federated learning to improve the accuracy of the shipping behavior risk score, constructing a trust calculation function to calculate dynamic trust values ​​in real time, designing hierarchical access decision rules for hierarchical authorization to achieve access control, and submitting the hash value of logs to the blockchain to drive the update of shipping trust status, forming a closed loop of credit update and access control. This invention provides a systematic solution for the Jianghuai inland waterway shipping industry that balances strict security, business efficiency, and compliance requirements, achieving the coordinated evolution and proactive improvement of the security defense capabilities of the entire Jianghuai inland waterway shipping ecosystem.

The invention relates to the technical field of health assessment, in particular to a sleep quality and emotion regulation ability assessment system based on traditional Chinese medicine constitution identification, which comprises the steps of S1, traditional Chinese medicine constitution basic parameter acquisition, S2, constitution corresponding symptom parameter library calling and association degree initial calculation, S3, symptom expression association multi-stage verification, S4, symptom and sleep basic parameter association operation, S5, emotion regulation ability assessment and S6, emotion regulation ability assessment. And S5, performing comprehensive correlation evaluation on the symptom and emotion parameters. According to the method, the preliminary pre-judgment is generated through matching of the traditional Chinese medicine constitution typing parameters and the tongue vein posture parameters, the overlapping degree is calculated in combination with the corresponding symptom library, the symptom collection priority is generated, and the data collection efficiency is improved. And then a traditional Chinese medicine constitution nine-score method associated threshold matrix is called to check symptom information, and invalid data interference is reduced. And finally, the correlation degree is calculated by fusing symptom, sleep and emotion parameters, so that closed-loop evaluation of physique-sleep-emotion deep fusion is formed, the systematicness and accuracy of evaluation are improved, and targeted support is provided for health management.

This invention provides a real-time analysis and intelligent optimization system for software operation data based on machine learning, comprising: a data acquisition module for acquiring real-time operational data of the software operation system, including request arrival logs, service processing logs, and resource usage information; a mechanism model construction module for establishing a queuing control mechanism model based on the real-time operational data and defining a set of operational operations within the mechanism model; an operational state estimation module for estimating the real-time operational data based on the mechanism model to obtain request arrival rate intervals, service capacity intervals, and burst traffic intervals, forming a set of uncertainty intervals; and a service level target constraint module for selecting tail performance indicators as service level targets based on the set of uncertainty intervals. This invention can continuously guarantee service level targets under dynamic fluctuations and uncertain environments, improving the stability and resource utilization of the software operation system.

The present application relates to code catalog management technical field, especially for a kind of standardization code catalog management method and system, the present application constructs the standard catalog code base covering multiple geological elements, different geological elements are cataloged data using the mode of subtab classification collection, geological feature change node is automatically identified based on the depth interval of code in each subtable, complete continuous mutually exclusive geological layering processing, through preset description template and code semantic mapping rule, standardization description text in line with geological specification is automatically generated, finally geological layering result, description text and original catalog data are associated storage, realize achievement bidirectional tracing and standardization output.The present application solves the pain points of traditional geological catalog standard not unified, low efficiency, achievement not standard, data not traceable, realizes geological catalog whole-process standardization and automation, greatly improves cataloging operation efficiency and achievement quality.

The invention relates to a biological turbulence driven low-carbon intelligent treatment method, device and system for injurious insects and harmful rats, and the treatment method comprises the following steps: S1, releasing gas-phase or liquid-phase injurious insect and harmful rat behavior biological interferon in a local controlled space, enabling the injurious insects and harmful rats to instantaneously generate behavior disability and become behavior disability injurious insects and harmful rats; s2, applying direction-adjustable strong airflow in the local controlled space while the step S1 is carried out; s3, the biological interferon, the direction-adjustable strong airflow and the behavior-disable pests and rats jointly form biological turbulent flow and form a biological turbulent flow field, and the behavior-disable pests and rats in the biological turbulent flow field are transported and entrained into a physical collection area by vortex cores in a blowing, absorbing and coupling mode; and S4, carrying out non-chemical treatment on the behavior disable pests and rats in the physical collection area. According to the invention, the low-carbon environment-friendly treatment effect of second-level'disability-turbulence-collection-harmless treatment 'of the pests and the rats is realized, and the device is widely applied to the treatment of the pests and the rats in closed, semi-closed and open spaces.

The invention provides a method and a device for detecting a conflict of a multi-level structure of a client page, and relates to the technical field of UI (User Interface) testing. The method comprises the steps that a multi-device multi-system test cluster and a cross-platform test framework are built, the cross-platform test framework is integrated with a rule engine, and the rule engine is used for configuring a hierarchical priority rule; generating a multi-level combined scene based on a level component type and a level priority rule, and injecting a dynamic behavior triggered by a simulation user interaction operation and a plurality of extreme scenes to generate a dynamic test scene; based on a dynamic test scene, simulating concurrent user operation in a multi-device multi-system test cluster, verifying event distribution logic, and synchronously managing, controlling and recording rendering data; based on the rendering data, verifying hierarchy rationality from a Z-axis hierarchy, a display time sequence and a focus state three-dimensionally to obtain a verification result; and generating and outputting a three-dimensional conflict positioning report based on a verification result. And full-scene automatic detection of complex page multi-level conflicts is realized.

The embodiment of the invention provides a crystal oscillator single event effect test system. In one specific embodiment, the system comprises a vacuum target chamber, a digital power supply, a digital switch controller, a test terminal and a frequency counter, the vacuum target chamber provides a vacuum environment for the plurality of crystal oscillators to be tested; a particle beam line is arranged in the vacuum target chamber; the test terminal controls gating of the digital switch controller, so that the digital power supply supplies power to the gated crystal oscillator to be tested through the digital switch controller, and the frequency counter collects the output frequency of the gated crystal oscillator to be tested; and the test terminal is also used for controlling the particle beam line to radiate the plurality of crystal oscillators to be tested respectively, acquiring the output current acquired by the digital power supply and the output frequency acquired by the frequency counter, and identifying and recording a single event upset event and a single event locking event of the gated crystal oscillators to be tested according to the output current and the output frequency.

The invention belongs to the technical field of data analysis, and particularly discloses a media data fluctuation analysis method and system based on artificial intelligence. The method comprises the following steps: acquiring target media data, identifying abnormal change points in the target media data by applying a trend model, and judging whether abnormal fluctuation exists or not through a fluctuation identification model based on the calculated number of continuous abnormal change points; by determining an abnormal fluctuation interval, executing optimization processing on data in the interval by adopting a self-adaptive correction strategy; and respectively calculating a forward correction parameter and a backward correction parameter based on the change amplitude of the data point set before the central point and the change amplitude of the data point set after the central point. According to the method, the abnormal fluctuation interval is defined by positioning the abnormal fluctuation, non-key noise interference is filtered, smooth transition between the optimized data and the data on the two sides of the abnormal fluctuation interval is achieved through correction verification, and the accuracy and credibility of abnormal fluctuation recognition in the media data are improved.

This invention relates to the field of medical information security technology, and discloses a blockchain-based method and system for auditing and detecting unauthorized access to medical data. The method includes: structurally modeling medical data access behavior to construct access behavior feature vectors; performing multi-source fusion risk assessment based on an access control policy model and a behavior learning model to obtain a comprehensive risk value; executing a graded processing strategy according to the risk level and generating corresponding audit logs; structurally organizing the audit logs and constructing a Merkle tree to generate data fingerprints; writing the data fingerprints and summary information into the main chain, storing the complete audit logs in a side chain or off-chain storage, and achieving consistency verification through Merkle proofs; using smart contracts to verify the audit data and automatically execute access control responses, while simultaneously feeding back the audit results for model updates. This invention enables real-time detection, graded processing, and trusted auditing of medical data access behavior.

The application provides a kind of on-chain and off-chain data consistency verification method of RWA asset transaction, comprising: (1) deploying smart contract in blockchain network;(2) obtain chain transfer record and off-chain transaction order;(3) generate standardized data unit DU;(4) calculate off-chain root hash;(5) calculate on-chain root hash;(6) compare off-chain root hash with on-chain root hash;(7) if inconsistent, generate random sampling index set;(8) locate Merkle path proof;(9) verify Merkle path proof;(10) generate structured difference report.The application provides an efficient, automated, dynamically updated, privacy-protected and compliant consistency verification solution without introducing centralized risk, ultimately improving the data credibility and reconciliation efficiency of RWA asset transaction, reducing business risk and operation cost, and adapting to the actual needs of high-frequency and large-scale RWA transaction scenarios.

The invention relates to the technical field of computer vision, and discloses an image forgery detection model interpretability analysis method and system, and the method comprises the steps: extracting the middle layer features of an image forgery detection model to be interpreted, and generating a semantic feature map based on the non-negative matrix decomposition of sparsity constraint; performing feature importance pre-screening on the semantic feature map to obtain an important feature map; for each important feature map, positioning a high activation area and extracting an image block, and analyzing a dominant frequency component and a bandwidth of the image block corresponding to the high activation area; constructing a band elimination filter in the frequency domain of the original image, generating a disturbance image, and endowing each feature with an initial weight based on a decision distance; and performing grouping fusion on the features according to the symbols of the initial weights, and respectively generating final visual saliency evidence graphs which support counterfeiting and reality. According to the invention, through combination of the non-negative matrix factorization and the frequency domain disturbance shielding method, the interpretability of the image forgery detection model can be effectively improved.

The application discloses a multi-dimensional data processing method and device, a medium and an electronic equipment. The method comprises the following steps: acquiring data, wherein the data comprises at least one existing data table and at least one scattered data; performing extraction on at least one field in the at least one data table based on a table extraction configuration, and mapping the extracted at least one field to a corresponding dimension based on a dimension mapping configuration, so as to form a first multi-dimensional data table, and recording the at least one scattered data into the first multi-dimensional data table; and based on at least one set predetermined index and an index dimension corresponding to each predetermined index, collecting data meeting the index dimension in the first multi-dimensional data table to each predetermined index, so as to generate a first index data table. When multi-dimensional profit and loss needs to be understood, the application can avoid a large amount of repeated development / modification work, and saves human resources and technological construction costs.

The invention discloses a B-Scan atlas optimization data sparse method in a ground penetrating radar time mode and a related device, and relates to the technical field of ground penetrating radar signal processing, and the method comprises the steps: determining the instantaneous dragging speed of a ground penetrating radar during collection based on a front A-Scan data association model and a rear A-Scan data association model; establishing a nominal speed judgment model according to the collection frequency and the number of sampling points; smooth filtering is carried out on the instantaneous dragging speed set, the average speed and the standard deviation are calculated, and the speed confidence coefficient is calculated; calculating a comprehensive difference value of the adjacent data frames, and removing one frame in the adjacent data frames based on a self-adaptive redundancy judgment threshold function; calculating a sparse coefficient based on the nominal speed judgment model and the instantaneous dragging speed set; and if the sparse coefficient threshold value is greater than or equal to the sparse coefficient threshold value, performing sparseness and data optimization on the data frame to obtain an optimized A-Scan data sequence, and generating a B-Scan atlas with a high signal-to-noise ratio.

The invention provides a whole-course logistics tracing method and system based on head-mounted equipment, and belongs to the technical field of human-computer interaction. According to the method, the sight behavior of a person wearing the head-mounted equipment is perceived in real time by determining the accurate coordinate of a fixation point; according to the target identification information and the geographic position coordinate data, a superposition display instruction sequence and a semitransparent lamination area are generated, and visual navigation guidance is realized on the premise that the attention of a person wearing the head-mounted equipment is not dispersed; by generating the gazing intention confirmation signal, accurate recognition of the operation intention is ensured, and additional operation is not needed; and finally, a fixation record data set is determined according to the operation intention information and the identity label, and a complete logistics traceability chain is formed in combination with a historical logistics operation chain, so that the traceability record can accurately reflect the circulation of logistics nodes, and the continuity, credibility and integrity of the logistics traceability chain are ensured.

This application provides an adaptive blockchain notarization method, system, blockchain gateway device, and computer program product for IoT data. The main components include: receiving raw data transmitted from IoT devices; calculating the notarization value score of the raw data based on at least two of the following: risk deviation index, event scarcity index, device reputation weight index, and service interruption indication index; periodically acquiring the operating status parameters of the blockchain network and calculating the current congestion index based on the operating status parameters; calculating a rapid notarization threshold and an aggregated notarization threshold based on the current congestion index; and performing the following diversion processing on the raw data according to the relationship between the notarization value score and the rapid notarization threshold and the aggregated notarization threshold, respectively, to complete the notarization of data transmitted by IoT devices, achieving adaptive resource optimization and timely protection of critical data.

The invention provides a log collecting and reporting method and device.The method comprises the steps that request information initiated by a user side to an application program is intercepted, first log data in the request information is collected according to a to-be-collected field in configuration information, and the request information is forwarded to the application program; intercepting response information returned by the application program based on the request information, collecting second log data in the response information according to a to-be-collected field in the configuration information, and forwarding the response information to the user side; and assembling the first log data and the second log data based on a log assembly rule indicated by the configuration information to obtain a target log, and reporting the target log. According to the embodiment, the stability of a service system can be guaranteed, and the flexibility and expandability of the log collecting and reporting process are improved.

The invention provides a root certificate updating method, a vehicle and a cloud, and belongs to the technical field of network security of vehicles. By adopting the technical scheme provided by the invention, the vehicle sends the target application request to the cloud under the condition of triggering the power-on operation, and receives the first target response returned by the cloud, so that the target update request is sent to the cloud under the condition that the target update information meets the preset condition; finally, the root certificate of the vehicle is updated based on the second target response returned by the cloud, dynamic and safe updating of the root certificate is realized through interaction between the vehicle and the cloud, the problem of service interruption of the Internet of Vehicles caused by failure of the root certificate is avoided, and the service experience of the Internet of Vehicles is improved. A dynamic updating mechanism enables the vehicle to always keep the validity of the root certificate in the use period, the maintenance cost of the vehicle is reduced, meanwhile, the vehicle sends the target updating request to the cloud only when the target updating information meets the preset condition, the updating accuracy of the root certificate is improved, and the safety of vehicle communication is improved.

The invention discloses a heat treatment process optimization method and system based on similarity matching and weighted fusion, and belongs to the technical field of material processing and artificial intelligence crossing. The method comprises the following steps: constructing a multi-dimensional feature vector containing material chemical components and target mechanical property indexes; obtaining related historical data through dynamic material expansion and validity judgment; utilizing a regression algorithm to calculate a feature dynamic weight, and further calculating a weighted Euclidean distance and similarity; selecting a preferable historical sample set according to the similarity, carrying out weighted fusion on the heat treatment process parameters by taking the similarity as a weight, and outputting a figure of merit and a range; the system also has a multi-target conflict judgment and correction mechanism. According to the method, the heat treatment process parameters are recommended reversely, accurately and interpretably according to the target performance, the problems that a traditional method depends on experience, the trial and error cost is high, the data utilization rate is low, and multi-target optimization is difficult to process are effectively solved, and the intelligent level and efficiency of process design are remarkably improved.

The application relates to the technical field of power system network security, and discloses a network security protection system based on promotion of secondary network-involved equipment, which comprises an end-side telemetry agent module, a network-side protocol analysis engine module, a central decision control unit module and a policy execution unit. The system is deployed in a power double-plane redundant network environment, the end-side module establishes a host behavior baseline through a dynamic hook and a process signature, the network-side module analyzes power protocols and tracks session states, the central decision module performs end-to-network behavior atomicity verification and cross-plane business logic consistency comparison, and the policy execution unit executes dynamic access control and physical micro-isolation according to the judgment result. By constructing a physical cause-effect mapping of host process calling and network traffic transmission, cross-plane logic conflicts are identified in real time, and by combining event-driven hook life cycle management, normal operation and malicious injection can be effectively distinguished, so that the full-path trusted transmission of secondary network-involved equipment control instructions is ensured.

The present invention provides a dynamic immune end-to-end trusted sharing method for multimodal data in a vehicle-road-cloud system, belonging to the field of information security technology. The method includes: using a vehicle-side or roadside unit with a digital certificate as the sending end, securely encapsulating the original multimodal data to generate a secure encapsulation result, and transmitting the secure encapsulation result to a cloud platform; using the cloud platform as the receiving end, recovering the original multimodal data; using the cloud platform to perform a trustworthiness assessment of the sending end based on the recovered original multimodal data (both current and historical), obtaining multi-dimensional assessment indicators; using a preset trust fusion model combined with the multi-dimensional assessment indicators to calculate and generate a dynamic trust value for the sending end; and triggering corresponding security handling strategies based on the dynamic trust value. This invention, through the synergistic linkage of dynamic trust value and security strategies, enables the system to possess adaptive perception and proactive immunity against internal threats, effectively ensuring the trustworthiness of shared data.