2772 results about "High security" patented technology

Systems and methods are disclosed for optimization, management, and merging of processes. This system integrates a multifaceted technological framework, including generative artificial intelligence, quantum computing simulations, and blockchain technology. It features a user interface for inputting diverse workflow requirements, a generative AI module for processing these inputs, and a quantum computing module for simulating and optimizing workflows. The system utilizes blockchain for secure workflow deployment and a suite of specialized engines for prompt management, data extraction, analysis, optimization, deployment orchestration, and continuous monitoring. These components ensure the system's adaptability to user-specific needs, scalability across various industries, and capability for integration with existing enterprise systems. This invention revolutionizes BPM by streamlining processes, enhancing efficiency, and maintaining high security and customization standards.

The invention discloses a fine-grained access control method and system based on risk identification, and belongs to the technical field of information security. According to the method, user subject attributes, behavior attributes and system environment attribute information are collected in real time, a standardized decision matrix is constructed, an interval type-2 fuzzy set (IT2FS) is used for conducting fuzzy modeling on the attributes, and an upper membership matrix and a lower membership matrix are generated. And calculating the dynamic weight of the attribute index in combination with a CRITIC method, introducing a time decay factor to dynamically correct a risk score through an improved TOPSIS method, calculating the Euclidean distance between an access request and a positive / negative ideal solution, and generating a normalized risk closeness degree. And based on the risk score and a preset threshold value, dynamically matching a hierarchical permission strategy, and adopting a static rule and a priority coverage mechanism to eliminate permission conflicts. According to the method, multi-dimensional risk assessment and dynamic weight adjustment are fused, the problems of insufficient real-time performance, subjective weight dependence and weak uncertainty processing capability in a traditional method are solved, the accuracy and security of access control are remarkably improved, and the method is suitable for scenes with high security requirements such as cloud computing and finance.

The invention relates to the technical field of unmanned aerial vehicles, in particular to a low-power-consumption unmanned aerial vehicle concealed control and encrypted communication method and system based on BLE 5.0. According to the method, link quality is dynamically evaluated based on a BLE node detection frame, a path decision result is generated, and a self-adaptive scattering network topological structure is constructed in combination with the real-time position of an unmanned aerial vehicle and electromagnetic environment changes; packaging the unmanned aerial vehicle control instruction into a GATT feature value update message, and generating a hidden control data stream; combining time, space and channel dimensions to generate a frequency hopping sequence parameter set; performing dynamic slicing and pseudo-random recombination on the hidden control data stream through a space-time dual encryption mechanism to generate an encrypted control instruction data stream; and transmitting the encrypted control instruction data flow to an unmanned aerial vehicle execution layer through a dynamic scattering network. On the premise of keeping the low power consumption characteristic, the unmanned aerial vehicle control system has high concealment, high reliability and high safety, and meanwhile, a tracking path of an enemy to a real flying hand is cut off through the dummy flying hand layer.

The invention discloses a power grid project supplier information access control method based on a zero-trust architecture, and the method comprises the following steps: S1, receiving an access request, and executing identity verification; s2, extracting supplier related information from the verified access request, and generating access context information; s3, generating an access control strategy according to the access context information; s4, a resource access path is established, and access connection is completed through an encryption communication mode; s5, collecting operation behavior data of the suppliers in the access process; s6, calculating a deviation degree between the operation behavior data and a preset behavior baseline, and generating a risk score; s7, when the risk score exceeds a set threshold value, executing a corresponding security processing operation; and S8, archiving the operation behavior data and the security processing record in the access process. According to the method, a dynamic access control and behavior risk response system is constructed based on a zero-trust architecture, and the method has the advantages of fine authorization, continuous verification and high security.

The invention relates to the technical field of commercial password detection methods, and discloses a high-security method for negotiating a temporary session key based on a national secret algorithm, and the commercial password detection method comprises the following steps: initialization and identity authentication: two communication parties generate an SM2 public and private key pair, and the identity is verified through a digital certificate and an SM2 signature; temporary key negotiation: generating a shared key point based on an SM2 key exchange protocol; session key derivation: generating a temporary session key by using an SM3 hash algorithm; key confirmation and encrypted communication: verifying the key through an SM4 algorithm and encrypting communication data; according to the high-security method for negotiating the temporary session key based on the national secret algorithm, efficient key negotiation of both communication parties in an unsecure channel is realized through an SM2 key exchange protocol, an SM3 hash algorithm and an SM4 symmetric encryption algorithm. The method combines digital certificate authentication, dynamic random numbers and timestamps, has forward security, replay attack resistance and man-in-the-middle attack resistance, and is suitable for high-security scenes such as finance and government affairs.

The invention discloses an information security management method and system based on sensitive data, relates to the technical field of data management, and comprises the following steps: realizing quantum encryption transmission of remote high-sensitive data by combining a quantum key distribution link and a dynamic chaotic key stream; the partitioning and synchronization priority is dynamically adjusted according to the node load, the data integrity is verified through CRC, the distributed storage disaster recovery system with extremely high safety and usability is achieved, it is ensured that data can still be recovered even under extreme disasters, a zero-trust data channel based on an IPSec tunnel is constructed in the data transmission process, and the reliability of data transmission is improved. The tamper-proof, anti-counterfeiting and anti-leakage capabilities of a data access link are greatly improved, the access frequency abnormity is detected through the isolated forest model, the behavior trend is detected through the LSTM time sequence prediction model, the baseline deviation analysis is performed through user behavior portrait comparison, and the real-time, multi-modal and chained security monitoring of the user data operation behavior is realized.

The invention relates to a secure communication method for an edge node and terminal equipment based on dynamic key negotiation. The method comprises the following steps: the terminal equipment sends an initial signal when initiating a communication request; the edge node generates a scenarized first key negotiation parameter and feeds back the scenarized first key negotiation parameter after passing dual identity and state verification; after the terminal device decrypts the parameter, a dynamic entropy value is collected by combining a network adaptive sensor, and a second key negotiation parameter associated with the first parameter feature is generated; the two parties calculate session keys based on an ECDH algorithm, and the consistency of the keys is ensured through dynamic entropy verification and Hash comparison; and after the key negotiation succeeds, entering a hierarchical encrypted data transmission stage, and dynamically updating a session key based on a multi-dimensional trigger mechanism. According to the method, through hardware credibility verification, a scenarized key strategy, dynamic entropy enhancement and national secret algorithm adaptation, dynamic management of keys and adaptive matching of terminal resources are achieved, attacks such as equipment counterfeiting and parameter tampering are effectively resisted, and the high-security and compliance requirements in the fields of industrial control and the like are met.

The invention discloses intelligent part damage identification and quantitative analysis based on multi-modal fusion, and particularly relates to the technical field of intelligent part damage identification. According to the method, synchronous or asynchronous real-time data acquisition is carried out on a target part, multi-modal features are extracted in combination with a heterogeneous feature extraction network, confidence scores of all modals are calculated, mutual information between the modals is fused, and an attention weighted fusion process is guided; when it is detected that the modality is abnormally suppressed, feature enhancement and dynamic weight adjustment are implemented, key weak signals are prevented from being ignored, fusion features are input into a damage identification model, and a damage identification result, modal weight visualization and early damage risk scoring are output; the technology effectively improves the recognition capability of the model for early and hidden damage, is especially suitable for sensitive capture and fusion judgment of weak modal signals in high-safety scenes such as wind power and aviation, and significantly enhances the early warning accuracy and maintenance foresight of the system.

An anomaly detection-based attention purification graph defense method is provided, which includes: Step 1: selecting an anomaly detection algorithm, passing an input graph into an anomaly detection module, and obtaining potential abnormal edges, wherein the obtained result is specifically a two-dimensional matrix named linkpred; Step 2: passing the linkpred matrix obtained in Step 1 and other required training parameters into an ADGAT model for training, and purifying an attention layer in the training process by linkpred; Step 3: using the trained model to generate graph node features to complete a specific downstream graph task. In the downstream graph task with high security requirements, the method can enhance the robustness of the model on the premise of defending the inherent noise and malicious disturbance in graph data and ensuring the performance of GNNs.

The invention discloses a distributed data encryption and verification system and method based on a block chain, and relates to the technical field of block chains. The method comprises the following steps: dynamically matching an initial processing node and a transmission path according to data characteristics and node capability; selecting an optimal path and an encryption strategy by combining the node capability, the network state and the data security requirement; data fragmentation encryption transmission is executed, and the transmission quality is evaluated in real time; future transmission risks are predicted based on historical data, and path sustainability is evaluated; and adjusting the path according to the real-time verification value and the prediction feasibility, and updating the block chain record. Full-link traceable auditing is realized through block chain evidence storage, the dynamic encryption strategy and predictive path optimization are combined, the transmission efficiency is improved, the security risk is reduced, the energy consumption is reduced, and the method is suitable for a high-security demand scene.

The invention discloses a data analysis question and answer platform based on a large model and a knowledge vector library, and relates to the field of intelligent question and answer. Firstly, question and answer content of a user is obtained, the question and answer content is analyzed through a large model, and a data analysis type question is screened out; then identifying keywords in the data analysis type question; keyword classification is carried out through cooperation of a large model and a knowledge vector library, and keywords are classified into indexes, dimensions and statistical periods; the indexes, the dimensions and the statistical periods are converted into corresponding SQL fragments, and the SQL fragments are spliced to generate an SQL query statement; executing the SQL query statement to query the database, and returning a query result; and the query result is converted into structured data, and the structured data is displayed through a front-end user interface, so that natural language data analysis and question answering with low cost, high efficiency, high safety, high accuracy and high flexibility can be realized.

Embodiments described herein relate to computer systems and methods for digital asset custodian that seamlessly integrates off-chain multi-party computation (MPC) signing with on-chain party identity authentication. The system comprises a service provider node, multiple computation nodes equipped with robust secure hardware, and a Blockchain accessible to all participating nodes. The nodes deliver a threshold signing service with utmost security—ensuring that no single node can recover the private key, while simultaneously recording and mutually authenticating each node's identity on-chain. The system boasts intrinsic support for hierarchical address creation and signing, facilitated by an enhanced protocol. Its scalability, particularly in the quantity of computation nodes, is complemented by efficient communication tailored to the demands of the MPC protocol.

The invention discloses an Internet of Things data transmission security enhancement method combined with quantum random number generation, which comprises the following steps of: generating a high-security and unpredictable random number seed through a quantum random number generator, and generating a dynamic binding key in combination with a unique identifier of equipment and a timestamp, the binding key is used for generating a shared session key between devices through a quantum secure handshake protocol, so that the confidentiality and integrity of data transmission are ensured, a dynamic key updating mechanism is introduced, the binding key and the session key are updated regularly, the security risk caused by long-term use of the same key is avoided, a key destruction mechanism is designed, and the security of data transmission is ensured. A session key is completely destroyed after a session is ended, a malicious attacker is prevented from recovering the key, and a standby key generation and synchronization mechanism ensures that the system can automatically switch to a standby key when key synchronization fails or communication is abnormal, so that data transmission is not affected. The method has the advantages of good expandability and high safety.

The invention relates to the technical field of electric power information security, in particular to an abnormal behavior detection method and system for electric power sensitive data flow. The method comprises the following steps: acquiring user operation behavior characteristics and data circulation track information through multi-source data acquisition; carrying out joint modeling on the behavior pattern by utilizing short time sequence Markov modeling and a long time sequence Informer structure; multi-dimensional features such as operation frequency, access paths and data types are integrated through a feature fusion module; a plurality of scoring mechanisms are introduced to judge the influence of data exception on the power system; further mining a data interaction relationship among multiple subjects by utilizing graph structure modeling; and a model structure search method is combined to carry out performance optimization on the whole detection process. The method can effectively improve the detection accuracy and real-time response capability of abnormal circulation of sensitive data in complex scenes such as power dispatching, power distribution automation and terminal access, and is suitable for data protection requirements of a power system in a high-safety-requirement environment.

Systems, computer program products, and methods are described herein for AI-based adaptive security parameter calculation in license key generation with quantum-resistant protections. The present disclosure is configured to utilize advanced cryptographic techniques, including elliptic curve cryptography and SHA-3 hashing, to produce secure digital signatures for license keys. An AI-driven engine analyzes historical security data to adaptively adjust key generation parameters, ensuring enhanced protection against current and emerging threats. This adaptive approach allows for continuous learning and improvement of security measures, making the system robust against both classical and quantum cryptographic attacks. The disclosed methods integrate the generation, assessment, and validation of keys into a streamlined process that promotes high security while maintaining efficiency.

The invention discloses an industrial Internet of Things control method for multi-type working parameter deployment, which relates to the technical field of industrial automation control, and comprises the following steps: S001, establishing a time sequence observation baseline of a multi-stage redundant path, injecting micro-amplitude identification pulses into all control nodes, generating an instruction time delay distribution curve and a resource occupation track, and establishing a time sequence observation baseline of a multi-stage redundant path; the method is used for revealing potential conflict sources and providing initial conditions. According to the method, a conflict source is revealed by establishing a time sequence observation baseline, competition nodes are identified by using a loop retrieval graph, a conflict list is formed, a single-source control right token is issued to realize link convergence, token stagnation is monitored, snapshot rollback and standby path takeover are combined to avoid interruption, and after takeover, time delay shaping is implemented to ensure stable landing of an instruction. Finally, the topological weight, the token priority and the fusing threshold value are dynamically updated, a self-evolution closed loop is constructed, and high reliability and high safety of industrial Internet of Things control are achieved.

The invention discloses an identity authentication and control method and device based on a block chain. According to the method, biological features are collected through edge nodes to generate feature vectors, a combined hash value is generated in combination with a device scene label and a service role label, the combined hash value is uploaded to a cloud server after encrypted signature, and the combined hash value is written into a block chain through an intelligent contract; and during user authentication, the edge node calculates a real-time risk level, dynamically selects an authentication mode, calls an intelligent contract for verification after verification of the cloud server, and adjusts the risk level according to a verification result to implement management and control. According to the method, the edge cloud collaborative architecture is adopted, and the dynamic multi-factor authentication mechanism and the block chain consensus technology are combined, so that high-security privacy protection authentication is realized, the security requirements of different service scenes can be met, data leakage and replay attacks are effectively prevented, and the authentication efficiency and reliability are improved.

The invention discloses a computer file protection method, which relates to the technical field of computer information security, and comprises the following steps of: S1, classifying files and marking security levels based on content characteristics and sensitivity; s2, dividing system user permission levels and configuring a multi-factor authentication mechanism; s3, constructing a file access control matrix and setting a fine-grained operation authority rule; s4, deploying an access behavior monitoring module, and recording a file operation behavior log in real time; s5, performing dynamic risk analysis based on behavior modeling and an anomaly recognition algorithm; s6, performing hierarchical response according to the risk level, wherein the hierarchical response comprises measures such as warning, limiting, network disconnection and locking; and S7, encrypting and storing the log information, and providing an auditing interface for behavior traceability. According to the method, static permission control and a dynamic behavior recognition mechanism are fused, full-process intelligent protection of files from creation, access, transmission to storage is achieved, and the method has the advantages of being high in safety, timely in response, capable of achieving self-adaptive evolution of strategies and the like.

The invention relates to the field of block chain technology and application security, and discloses a block chain-based APP data trusted storage and sharing method, which comprises the following steps of: maintaining a verifiable state container comprising state data and an access policy dual-Merkel tree under a chain, and recording a root hash of the verifiable state container in the block chain; for different updates, generating corresponding evidences: generating single-step evidences containing Merkel evidences for single-step updates; and generating the composite proof containing the zero-knowledge proof for the complex process. And the intelligent contract can update the root hash in an atomized manner only through verification and certification. During data sharing, data and dual Merkel proof are provided for a consumer to verify data authenticity and access legality. According to the method, complex calculation is arranged under a chain, low cost and constant overhead of on-chain verification are achieved, and meanwhile high-safety data credible storage and refined authority control capacity are provided through a dual-tree dual-certificate mechanism.

The invention discloses a strain copyright protection system based on a DNA watermark technology. The system comprises a DNA watermark embedding module, a block chain storage and verification module, a strain authentication and tracking module and a security and privacy protection module. The invention further discloses a strain copyright protection method based on the DNA watermarking technology. The method comprises the steps of strain copyright information generation and coding, DNA watermark site selection and editing, strain screening and verification, copyright information uplink and strain use and tracking. According to the method, the copyright information of the strain is coded into the DNA watermark, the DNA watermark is embedded into the genome non-functional region of the strain, and the copyright information is stored and verified in combination with a block chain technology, so that intellectual property protection with high concealment and high safety of the biological strain is realized; illegal copying and tampering of strains are prevented, reliable copyright authentication and tracking functions are provided, and the method has wide application prospects and remarkable market value.

The invention discloses an electric power real-time data dynamic encryption transmission method and system based on a national secret algorithm. According to the method, the real-time updating of the session key is realized by fusing the SM3 Hash algorithm and the multi-dimensional dynamic factor, and the anti-attack capability of data transmission of the power system is improved. A timestamp and data counter double-trigger mechanism is introduced in the key generation process, so that the key is automatically alternated under a fixed time interval or a data volume threshold value, a key exposure window is shortened, and the security risk caused by using the same key for a long time is reduced. Key synchronization is carried out in combination with an SM2 bidirectional authentication channel, the confidentiality of key distribution is ensured, access of unauthorized equipment is avoided through an identity authentication mechanism, full-closed-loop security protection from key generation to transmission is formed, the high-security requirement of the power industry for key data transmission is met, and the security of key data transmission is improved. Through deep combination of a cryptographic algorithm system and a dynamic adaptation mechanism, the high efficiency and compliance of power real-time data transmission are considered while the security is ensured.

The invention discloses a transformer substation fire risk dynamic assessment method, which comprises the following steps: constructing a transformer substation digital twin model according to the live information of a transformer substation; constructing a transformer substation fire risk deduction model according to a fire propagation mechanism and the live information; and generating substation fire risk assessment information according to fire deduction information output by the substation fire risk deduction model. By adopting the transformer substation fire risk dynamic assessment method, the current data of the transformer substation can be collected and analyzed in real time to dynamically assess and predict the fire risk, the fire risk management and prevention and control level of the transformer substation is remarkably improved, and the operation requirements of the transformer substation for high reliability and high safety are met.

According to the user sensitive data protection system based on the cloud service and the block chain, an SM3 algorithm is adopted to fuse biological characteristics and dynamic tokens to generate an encryption credential, high-security identity authentication is achieved, differential fragmentation encryption is carried out on data based on semantic classification, Rabin threshold fragmentation and AES + ECC double-layer encryption is adopted for data of the highest security level, and the security level of the data is improved. A dynamic node optimization model is designed; an optimization coefficient is calculated according to the capacity, the transmission rate and the fault rate; the storage efficiency is improved by more than 40% in combination with a time period regulation factor; the node temperature and the vibration frequency are monitored in real time through a sensor; and verifying the validity period of the dynamic token and the fragment permission mark by using an intelligent contract to realize GDPR compliance fine-grained access control. The system remarkably improves the anti-attack capability and storage reliability of data, and is suitable for high-sensitivity scenes such as highway toll collection, finance and medical treatment.

The invention provides a scanning method and system for hidden asset identification in an electric power industrial control network, and aims to solve the problem that silent, non-registered or illegal access equipment is difficult to discover by the existing asset surveying and mapping means. According to the method, multiple protocol induced detection messages are injected into a target network, equipment response data are collected, feature vectors are extracted, and abnormal equipment behaviors are identified by using an unsupervised clustering and anomaly detection algorithm; and meanwhile, in combination with a graph neural network and a hidden Markov model, modeling is performed on a network communication chain structure and a historical behavior sequence, and potential hidden asset nodes are deduced. According to the method, active discovery and risk reasoning of hidden assets can be realized on the premise of not influencing industrial control services, and the method is suitable for industrial control scenes such as transformer substations and dispatching centers in the power industry and has high safety, intelligence and feasibility.

The invention relates to the technical field of unmanned aerial vehicle supervision, and discloses a multi-band multi-channel unmanned aerial vehicle RID signal analysis system. According to the system, RID signals of 2.4 GHz, 5.2 GHz and 5.8 GHz frequency bands are collected in parallel through a multi-frequency-band antenna group and a multi-channel radio frequency receiving module, and real-time analysis and algorithm scheduling of the RID signals are achieved through an FPGA + ARM heterogeneous processing unit. Four modules of multi-sensor space-time alignment and cross validation, lightweight national secret encryption and data integrity verification, self-adaptive scheduling based on reinforcement learning and unmanned aerial vehicle behavior digital twinning and intrusion early warning are integrated in algorithm, and a closed-loop processing flow from RID signal receiving, data calibration and secure transmission to intelligent research and judgment is formed. The method effectively solves the problems of incomplete RID signal coverage, low data reliability, weak safety protection, insufficient early warning capability and the like in the prior art, has the advantages of high analysis precision, good safety, high resource utilization rate, accurate early warning and the like, and is suitable for low-altitude supervision scenes such as urban security and protection, border management and control and the like.

The invention relates to the technical field of key generation, in particular to an adaptive key generation method and system based on a prime-order cyclic group, and the method comprises the steps: selecting a proper prime-order cyclic group according to an application scene and a security demand, for example, constructing an integer modulus p and an addition group Zp as a basic group; then, generating a key through mathematical operations such as Hash operation and exponential operation by combining user identity information, encryption demand parameters and computing resource conditions through an algorithm; meanwhile, a key adaptation mechanism is designed, application scenes and computing resource dynamic states are monitored in real time by means of a preset threshold value and a judgment condition, and a key regeneration process is automatically triggered once parameters suddenly change. The method is high in security, can resist various traditional password attacks, and ensures the complexity and unpredictability of the key. Meanwhile, the method is high in applicability and generalization performance, the secret key can be flexibly generated under different scenes and resource conditions, unnecessary calculation steps are reduced, the secret key generation efficiency is improved, and the system burden is reduced.

The application discloses an underwater data center, which comprises a pressure cabin, an outer frame, a lifting structure, a pipeline structure, a server cabinet inside the pressure shell, an inspection lifting structure, a fixing and moving mechanism, and an internal state monitoring system; the pressure cabin is a closed structure formed by the pressure shell, and at least one pressure cabin entrance structure is arranged on the surface of the pressure cabin; the lifting structure comprises a hydraulic jacking oil cylinder and a lifting guide column; the server cabinet is arranged in an array in the pressure shell, and is fixed and moved by the fixing and moving mechanism at the upper end and the lower end for control. The application can realize efficient water-out and water-in actions by using the lifting mechanism; the application is suitable for high-stable underwater cooling of a large-volume high-density data center system; the pressure cabin entrance is provided, so that the inspection personnel can enter the pressure cabin for inspection without water-out, and the working efficiency and use efficiency are high; and the state monitoring system ensures high safety of the internal environment and timeliness of risk discovery.

The invention provides a distributed quantum security encryption method, system and device. The method comprises the following steps: monitoring the quality of a quantum key distribution link in real time, and dynamically selecting a quantum key, a post-quantum session key or a fusion key of the quantum key and the post-quantum session key as a working key; and when the node cannot be directly reached, the trusted relay node generates an end-to-end key seed by using a quantum key and a post-quantum cryptography shared key which are respectively established with the two ends, the end-to-end key seed is encrypted and distributed by a public key and then a session key is independently derived by the two communication parties, and the relay node cannot decrypt. The system adopts a distributed Mesh network architecture supporting a terminal / relay dual mode. The device integrates a quantum random number generator, a post quantum cryptography coprocessor and a mixed key engine. The method integrates the advantages of quantum physical security and post quantum cryptography, has high security and availability, and is suitable for constructing a key infrastructure security communication network resisting quantum computing attack.

According to the internal network and external network synchronous transmission method and system based on the TCP provided by the invention, file type detection and file title detection are realized at a server side, compliance screening is carried out on file contents before a transmission link, and sensitive files are prevented from entering a transmission link; after the detection is passed, segmented transmission is carried out by adopting a preset fragmentation rule, and breakpoint resume is executed by utilizing a fragmentation index when the transmission is interrupted, so that the stability and the efficiency of large file transmission are remarkably improved; furthermore, the server pushes the downloading notice to the extranet client through the TCP after receiving the auditing result of the intranet client with the auditing authority, so that the file is ensured to be subjected to the auditing link before being transmitted to the extranet, and the unification of high safety, controllability and high efficiency is realized.

The invention relates to the technical field of information security, discloses a realization method of an electronic signature of a customs business scene and a seal management system, and aims to solve the problems of trust centralization, easy data tampering, difficult traceability, poor business adaptation and insufficient interoperability of an existing electronic signature. According to the method and the system, a distributed account book technology is introduced, decentralized creation and registration, signature generation and verification, life cycle management and on-chain recording of auditing and tracing of the electronic seal are realized, a dynamic and configurable business scene strategy engine is constructed, a customs business process is flexibly adapted, and high safety, high efficiency and high adaptability are ensured. According to the method, a decentralized trust basis is established, the tamper-proofing capability and efficiency are improved, full-chain auditing traceability and cross-mechanism interoperation are realized, and data security is guaranteed.