2174 results about "Digital signature" patented technology

The invention discloses a cross-domain computing task processing method, a program product, equipment and a medium, and relates to the technical field of cloud computing. The method comprises the following steps: determining a computing node for executing a cross-domain computing task in a cross-domain collaborative scene, and generating an identity certificate bound with the computing node based on a hardware credible state of the node; collecting security policies of a plurality of management domains for conflict detection and decision, and generating a conflict-free session policy; scheduling the cross-domain computing task to a target computing node meeting a preset credible requirement, and issuing a revocable dynamic session token; and recording the operation information of the cross-domain calculation task in the whole life cycle as an audit event, and generating a chained audit log which is linked by the hash value and is digitally signed through a preset verifiable audit interface. By means of the technical scheme, it can be ensured that the whole life cycle of any computing task meets the closed-loop safety requirements of identity credibility, permission controllability, execution propriability and behavior traceability in the complex distributed computing environment.

The invention discloses a power system source network interaction data security encryption verification method, system, device and medium, and belongs to the technical field of power system communication encryption, and the method comprises the following steps: a source side device and a network side device complete identity authentication through a bidirectional digital certificate verification mechanism; and an identity binding label is generated in combination with the device identifier, the timestamp and the position information. And after the authentication is passed, the two parties perform key negotiation based on an elliptic curve algorithm, and generate a temporary encryption key in combination with an authentication result. A source side device carries out structural packaging on original interaction data, adds a random number, a timestamp and a hash abstract, then encrypts the original interaction data in an AES-GCM mode, and carries out signature binding on key fields through digital signatures to form a complete data packet. And a receiving end performs compliance judgment on the timestamp and the random number in the data packet, and after the timestamp and the random number are confirmed to be in an effective time window and are not replayed, signature verification, decryption processing and Hash consistency verification are sequentially completed, so that closed-loop processing of a data flow is ensured.

The invention discloses a financial data privacy protection system based on block chain security multi-party computing, and belongs to the technical field of data protection, and the system specifically comprises the steps that a data preprocessing module segments original financial data, and adds a unique watermark identifier; the distributed account book stores the Hash abstract and watermark mapping relation of the encrypted logic data fragment, and the digital signature and the timestamp are fused to ensure reliability; the computing node cluster receives data through a special interface, dynamically builds a computing group according to a service rule and outputs an encrypted computing result; bidirectional authentication is carried out on the zero-knowledge proof verifier and the computing node cluster to verify the data holding right; the encryption proxy gateway processes an output result of the computing node cluster to complete format conversion and ciphertext superposition; the cross-link routing module constructs a virtual coverage layer, cross-link transmission of encryption results is achieved through protocol conversion and three-way handshake verification, and a heterogeneous chain protocol converter and a verification assembly guarantee transmission safety; the financial data privacy security is comprehensively guaranteed, and the data processing efficiency and reliability are improved.

The invention discloses a bidirectional authentication secure mobile communication method and system based on a public key digital fingerprint, and belongs to the technical field of communication security. The method specifically comprises the following steps: S1, digital certificate application and issuing: a mobile terminal and a service server respectively use an encryption algorithm to generate an asymmetric key pair which comprises a public key and a private key, an entity submits a CSR file which comprises a public key, entity identity information and an extension field to a CA, and the CA strictly audits the entity identity and issues a digital certificate; and performing digital signature on the public key and the entity information by using a CA private key after the auditing is passed. Two-way identity authentication is achieved, communication safety is improved, a traditional scheme only supports one-way authentication of a client to a server and is prone to phishing attack and identity false use, digital certificates are exchanged before communication between a mobile terminal and a service server, the legality of the certificates is verified through a public key of a CA root certificate, and the authenticity of the identities of the two parties is ensured. A bidirectional authentication mechanism effectively prevents man-in-the-middle attack and identity counterfeiting problems, and the security risk is greatly reduced.

The invention discloses an insurance claim settlement-oriented multi-modal image video evidence analysis method and system. The method comprises the following steps of: acquiring video / image and multi-source data such as metadata, audio, IMU (Inertial Measurement Unit), GPS (Global Positioning System), OBD (On-Board Diagnostic) and the like; calculating content Hash of the video and the audio according to frames, connecting the content Hash with time information in series to form chained Hash, and adding a verification digital signature and a credible timestamp; realizing cross-modal time sequence alignment based on self-adaptive time anchor-attitude coupling; tampering detection is carried out in combination with PRNU fingerprints, noise field consistency, dual compression, copy-movement and the like; multi-view geometry and monocular depth are fused, IMU scale constraint and micro rendering are introduced, three-dimensional reconstruction and re-projection optimization are completed, and collision dynamics verification is carried out; and constructing an event cause and effect graph, judging responsibility in combination with traffic rules, outputting a confidence coefficient vector and a structured report, and generating a verifiable evidence packet. The scheme has the advantages of high efficiency and traceability in the aspects of space-time restoration and interpretable responsibility judgment.

The invention provides a block chain-based clinical test data integrity system, and relates to the technical field of data processing, and the system comprises the following components: a multi-source heterogeneous data acquisition and preprocessing module, a multi-level encryption and under-chain data storage module, an alliance block chain network, and an alliance block chain network maintenance and verification shared distributed account book. The distributed account book only stores all digitally signed clinical test data fingerprints, metadata and operation logs, does not store original data, and is linked with the intelligent contract automatic management module, so that the clinical test data cannot be tampered in the whole life cycle from the source to archiving. Hash anchoring, digital signature and decentralized verification mechanisms of the block chain technically eradicate the possibility of unauthorized tampering of data, and ensure scientificity and reliability of clinical test results.

The invention relates to the technical field of data processing and privacy protection, in particular to a data desensitization and integrity verification method and system based on a differential privacy algorithm, and aims to realize collaborative optimization of data privacy protection and integrity guarantee. Determining a total privacy budget by calculating global sensitivity, a data leakage risk coefficient and independent and joint data privacy information amount, dynamically allocating the privacy budget for a single-task or multi-task scene, and injecting noise based on an allocation result to realize differential privacy desensitization; meanwhile, a verification voucher is generated by using a hash function, a digital signature and an alliance chain, and the data integrity is ensured through signature verification, data consistency verification and block chain verification. The system comprises a data application processing module, a global sensitivity calculation module, a desensitization core processing module, a verification voucher generation module and an integrity verification module, is suitable for government affairs, enterprises and other scenes with high requirements for data privacy and integrity, and effectively improves the safety and reliability of data processing.

A method for packaging digital evidence for long term validation comprises forming a package of a digital document (10), an electronic signature (12) for the document (10), together with evidence (16) of the authority of the signature in the document and a time stamp (20) indicating when the document was digitally signed. All of the pieces form parts of the packaged evidence.

The invention relates to the technical field of data processing, in particular to a data fusion intelligent equipment linkage management and control system based on a large model, and the system comprises a data collection module which outputs standardized data carrying privacy grading identifiers; the data processing module outputs an optimization algorithm identifier and a collaborative strategy identifier which are synchronously bound; the privacy algorithm fusion scheduling module generates atomization calculation graph data and strategy audit logs fusing privacy operation; the multiple optimization resource module executes calculation graph data and drives a parallel simulation environment rehearsal resource scheme, and the double-closed-loop feedback module is activated when an arbiter continuously detects that deviation exceeds the standard for three times; the safety instruction generation module fuses the output result and the audit log to generate a digital signature equipment control instruction; and the double-closed-loop feedback module updates knowledge base weight parameters through a data feedback loop, and controls the feedback loop to adjust a resource allocation threshold in a grading manner according to simulation confidence, so that dynamic balance between resource efficiency and privacy intensity is realized.

The invention discloses an electronic seal management and control method and system, and belongs to the technical field of electronic seal management, and the method comprises the steps: carrying out the identity verification of a seal use request; dividing a private key of the electronic seal into a plurality of key shares; a digital signature of the electronic seal is generated through cooperative calculation of a threshold signature mechanism; managing electronic seal key access in a trusted execution environment, and executing global signature calculation in a hardware encryption module; adopting a zero-knowledge proof algorithm to generate verifiable calculation proof data in the digital signature calculation process; and establishing a quantum communication link and generating a transmission key, and managing key transmission. According to the invention, the distributed storage private key is calculated through multi-party security, so that the risk of single-point leakage is eliminated; zero-knowledge proof is adopted to ensure that signature calculation is verifiable, and signature credibility is improved; secret key access is dynamically managed and controlled based on the trusted execution environment, and safety and flexibility are enhanced; quantum key distribution is utilized to ensure key transmission safety, and quantum attacks are resisted.

Systems and methods for executing multi-party validations for complex communications across multiple computer networks using bifurcated digital signing processes. For example, the system may receive a first request, at a bifurcated digital signing process, to perform a first multi-party validation action, wherein the first request has a first processing characteristic. The system may, in response to receiving the first request, process the first request with a first signing routine of the bifurcated digital signing process. The system may determine, based on the first signing routine, whether the first processing characteristic corresponds to a predetermined processing characteristic. The system may, in response to determining that the first processing characteristic corresponds to the predetermined processing characteristic, process the first request with a second signing routine of the bifurcated digital signing process to perform the first multi-party validation action.

The invention relates to the technical field of environment monitoring, and discloses a completion process data-based environment monitoring parameter comparison evaluation method, which comprises the following steps of: obtaining completion process data and environment monitoring data, and constructing a multi-dimensional data graph, mapping the completion process data and the environmental monitoring data to generate a standardized data set containing a construction feature vector and an environmental parameter vector; calculating a dynamic weight coefficient through a multi-objective optimization model based on the construction feature vector and the environment parameter vector in combination with the construction progress and the environment sensitivity, and outputting a weight matrix; the intelligent contract automatically triggers an evaluation process, generates a dynamic evaluation report containing an overproof event identifier, a compliance repair suggestion and a digital signature, and links an AR visualization system to be superposed to a BIM model to generate a three-dimensional thermodynamic diagram; and in combination with anomaly detection and a time sequence prediction model, identifying potential risks, generating a dynamic risk early warning map, and finally outputting a predictive evaluation report. According to the invention, the accuracy and real-time performance of environment monitoring evaluation can be improved.

A computerized platform enables secure, policy-compliant creation, governance, and monetization of digital artifacts produced by Al-driven “persona” agents in regulated domains (e.g., healthcare, finance). For each agent session, a federated compliance-token generator issues a cryptographically signed token embedding the full delegation chain, credential lineage, real-time policy snapshot, monetization rules, expiration and revocation data. As artifacts or workflows cross organizational or jurisdictional boundaries, a token inheritance module can subdivide, transfer, renew, or revoke the token while appending each event to an immutable, cryptographically linked audit trail. Every agent output is encapsulated as a digitally signed artifact that is indelibly linked to its originating compliance token and enriched with provenance, consent, and service metadata. A permissioned blockchain (or sharded distributed ledger) functions as an asset registry that immutably stores artifacts, tokens, and chronological records of creation, access, transfer, consent change, and policy updates. A smart-contract engine automates revenue allocation and settlement, ensuring continuous traceability, privacy protection, and financial compliance across institutional boundaries.

The invention discloses a remote monitoring cooperation system based on intelligent network connection, and relates to the technical field of cooperation control, and the system comprises a protocol analysis and normalization module which analyzes an original protocol message uploaded by a heterogeneous terminal, and generates standard event metadata; the arrangement scheduling module injects an execution token into a linkage execution sequence generated based on the standard event metadata and the strategy library, issues an action instruction, and triggers a remedial sub-process along a rollback edge when feedback is abnormal; the parameter intelligent setting module is used for generating an operation portrait based on the execution track log and obtaining a strategy parameter set based on the operation portrait; the intelligent cooperative processing module executes digital signature verification, certificate rolling rotation, deterministic transmission control and video adaptive adjustment according to the strategy parameter set; according to the invention, through organic combination of strategy analysis, arrangement scheduling, parameter intelligent setting and intelligent cooperative processing modules, automatic response and efficient control during coupling of multiple types of events in an intelligent network connection remote monitoring scene are realized.

The invention provides a multi-party collaborative anti-quantum signature method and system based on homomorphic Hash, and relates to the technical field of digital signatures, the system comprises a plurality of participants and a verification party, and the method is specifically as follows: each participant generates a pair of public and private keys, the public key is composed of a total public key, a total signature matrix and a total Hash matrix of all participants; based on the public and private keys, all participants perform multi-party signature on the target message through a homomorphic hash function, and a generated signature is composed of total hash challenge values of all participants, total response vectors of all participants and commitment value high-order difference values of all participants; according to the signature, the verifier recovers the high order of the total commitment value, further calculates the total hash challenge value, and verifies the validity of the signature through comparison of the total hash challenge value; according to the method, multi-user collaborative signature is realized, and the security of resisting malicious opponents under a quantum computer is obtained.

The invention discloses a multi-communication group fusion holding method and system for an intelligent door lock, and the method comprises the steps: building an independent multicast tree taking a feature vector as an identifier according to a communication group request initiated by each main control door lock; generating a multicast message containing a target communication group feature vector and a digital signature according to a merging request sent by the first master control door lock; according to feature vectors exchanged by the master control door locks of the two parties through a secure channel, a target master control door lock initiates feature interception registration, and negotiates and establishes a boundary feature tag rewriting rule; and according to the established forwarding path and the rewriting rule, the audio and video streams of the communication groups of the two parties are subjected to feature tag rewriting through the network boundary router, and then bidirectional intercommunication is realized. By utilizing the embodiment of the invention, the dynamic security isolation and seamless fusion of multiple communication groups can be realized, the network load and transmission delay are reduced, meanwhile, the terminal door lock can realize audio and video intercommunication without sensing the network address of the opposite end or changing the configuration, and the expansibility, the security and the user experience of the system are improved.

The invention relates to a mineral reserve dynamic monitoring method and system based on satellite remote sensing and a block chain. The method comprises the following steps: acquiring original remote sensing data and metadata of a mining area, executing hash operation on the data by utilizing a satellite-borne trusted execution environment to generate integrity proof, and performing digital signature to construct a trusted data packet; transmitting the data packet to a ground station to verify the validity of the signature, extracting verified data, and submitting the verified data to a block chain for evidence storage; based on the on-chain evidence storage data, using a deep learning model to extract earth surface features and calculating reserves changes; and finally, a reserve change result is returned to the block chain, and dynamic supervision and early warning are realized through an intelligent contract, so that a technical system from data source credible guarantee, transmission process tampering prevention, reserve intelligent calculation to supervision automatic execution is constructed. The problems that in traditional mineral product monitoring, the authenticity of a data source is lack, the processing process is not traceable, and supervision response is lagged are solved, and the reliability, auditing performance and supervision timeliness of a mineral product reserve dynamic monitoring result are improved.

The invention discloses a door lock communication group decomposition method and system, and the method comprises the steps: encrypting and issuing a sub-feature vector to a local storage of a corresponding member door lock through a secure channel according to the sub-feature vector generated by a main control door lock and a binding relation between the sub-feature vector and the member door lock; generating a multicast message containing a target subgroup feature vector and a digital signature according to a splitting request sent by a main control door lock; according to the result of querying the local ARP table and the subgroup registry by the multicast router, determining the subgroup to which the door lock connected with each interface belongs, and registering the corresponding sub-feature vector for the corresponding interface in the multicast forwarding table; and according to a detection message sent by each sub-group master control door lock and a confirmation message of a member door lock, the multicast router identifies and removes sub-feature vector registration of an interface which is not associated with an effective door lock, and communication group decomposition is completed. By utilizing the embodiment of the invention, safe, reliable and interface-level refined door lock group decomposition can be realized, and the splitting efficiency and the communication safety are improved.

The invention relates to the technical field of logistics information tampering prevention, in particular to a logistics information tampering prevention system based on a block chain, and the system comprises a logistics information initial encryption module which is used for collecting key logistics information items, calling a chameleon hash function to carry out the hash operation of the collected key logistics information items, obtaining a logistics information chameleon hash sequence, and sending the logistics information chameleon hash sequence to a logistics information tampering prevention module; and a warehouse administrator or a carrier driver uses a private key to digitally sign the key logistics information item and the logistics information chameleon hash sequence to generate a signed logistics data packet. According to the method, key logistics information items are collected, and a chameleon hash function is adopted to perform hash operation on logistics information, so that the tamper-proof capability of the information in the transmission process is enhanced; meanwhile, a private key is used for carrying out digital signature to bind the identity of an operator, so that the identity traceability of an information source is realized, and the identity is effectively prevented from being counterfeited or falsely used.

The present embodiment discloses a novel process and system for storing versioned data on the Bitcoin blockchain network. This process involves generating derived public keys linked to specific versions and data parts using a key tweaking method, and storing each data part on the blockchain using its associated derived public key. Information about versions and parts are stored in root transactions. An API is provided for managing the stored data, with options for encryption, checksums, data anchoring, timestamping, segmentation, and digital signatures. AIDIOS, a data protocol designed for direct storage and retrieval on the Bitcoin blockchain, is also included. This system allows for significant amounts of data to be stored directly on the blockchain.

The invention relates to the technical field of network security, and particularly discloses an edge device network threat detection method and system based on an electric power large model, and the method comprises the steps: capturing a network message sequence in real time, extracting a time sequence randomness feature and a semantic deviation feature from a time dimension and a protocol dimension, and carrying out the fusion to form a comprehensive threat feature vector; performing multi-dimensional feature analysis and time sequence modeling by adopting a lightweight electric power large model to realize millisecond-level threat assessment; establishing a multi-level response mechanism, dynamically triggering a differential protection strategy according to the threat level, and ensuring the reliability and consistency of response actions through digital signature and collaborative verification; according to the method, the complex network attack in the power edge equipment can be effectively identified, the threat detection accuracy and the system defense capability are improved, and the strict requirements of a power system on real-time performance and reliability are met.

The invention discloses an equipment digital inspection evaluation method and system based on big data, and belongs to the field of artificial intelligence, and the method comprises the steps: S1, collecting multi-source heterogeneous data; s2, unifying timestamps by adopting a time synchronization technology, and realizing accurate alignment of multi-source data; s3, cleaning and structuring data by using a distributed stream processing framework, eliminating invalid redundancy, and completing coding standardization; s4, constructing a graph neural network model based on equipment topology, and extracting a state feature vector; s5, combining with historical fault labels, applying a reinforcement learning training evaluation strategy, and improving prediction accuracy and inspection efficiency; s6, dynamically sorting the inspection tasks according to a strategy, and determining a priority and a path in combination with the risk and the dependency relationship; s7, generating a digital inspection evaluation report fusing real-time analysis and a model result; and S8, performing digital signature and timestamp registration through an intelligent contract uplink evidence storage, and ensuring that a result is verifiable, traceable and non-tampered. The beneficial effects are that inspection efficiency is improved and data safety and reliability are ensured.

Techniques are described for subscription onboarding based on digital identifier (DIG-ID). One method includes acquiring a DIG-ID having a verifiably secure identity; transmitting a first request comprising the DIG-ID, a timestamp, and a digital signature (DS) associated with the DIG-ID and the timestamp; establishing a provisioning connection to a mobile communication network; and receiving at least one of a subscription credential and a user subscription profile via the provisioning connection.

Systems and methods support collection of validated telemetry by an Information Handling System (IHS). A policy decision point (PDP) of a zero-trust computing environment controls access to protected resources The PDP identifies a telemetry stream of the IHS to be validated and identifies a telemetry definition specifying telemetry being collected by the IHS. The PDP updates the telemetry definition to specify adjustments to telemetry streams of the IHS to be authenticated and transmits the updated telemetry definition to the IHS. The IHS identifies telemetry that is ready for transmission and, based on the updated telemetry definition received from the policy decision point, generates a digital signature that authenticates the telemetry that is ready for transmission. The authenticated telemetry is transmitted to one or more destinations specified in the updated telemetry definition.

A computer-implemented system for multidimensional generative value assessment and applicant selection, consisting of: a data collection unit configured to electronically receive applicant data consisting of structured academic records, work experience records, digital documentation, and unstructured narrative responses generated from generative self-assessment instruments and contextual interviews; a feature extraction unit coupled to the data acquisition unit, configured to apply computer-assisted text processing, semantic analysis, and token-level attribute identification to transform narrative responses and structured data into multidimensional feature vectors that represent generative indicators of innovation, mentoring, collaborative performance, resilience, social contribution, ethical consistency, and predicted institutional impact; a weighting calculation unit configured to assign weight values ​​to the extracted feature vectors based on a digital generative profile definition matrix that includes dimensions, sub-criteria, indicators, documentation requirements and importance coefficients, with the weighting being distributed across the generative dimensions defined in the digital matrix and configurable according to the institutional context; a quantitative rating unit configured to calculate a generative rating score by aggregating weighted feature vectors derived from self-assessment inputs, interview-based ratings, document analyses, and authenticity predictions, with the aggregation including normalization, nonlinearity correction, conflict handling, and artifact frequency balancing to obtain a consolidated score; a proof verification unit configured to electronically validate referenced digital evidence by performing content extraction, metadata verification, pattern matching, and cross-document correlation to determine authenticity, credibility, and contextual relevance with respect to the calculated feature vectors; a classification determination unit configured to assign a classification level to an applicant by comparing the generative assessment score with a set of system-defined calculation thresholds, including at least a lower threshold, a middle threshold and an upper threshold, the classification levels representing different generative maturity states and determining subsequent eligibility for selection; a decision generation unit configured to produce a digital output data set that includes classification level, feature aggregation summaries, evidence validation results, and recommended organizational actions, wherein the decision generation unit encodes the data set in a digitally signed, tamper-proof format and stores it on a non-volatile storage medium; and A system control unit acts as an operational interface to all other units and is configured to orchestrate data flow, scheduling, process state transitions, and event logging to ensure verifiable traceability, consistency, and auditability of the evaluation and selection processes.

The invention relates to the technical field of information encryption, in particular to a customer information encryption protection method in a pork transaction process, which comprises the following steps of: based on pork transaction data, sequentially finishing key distribution path sorting and serial number verification, screening deviation in combination with customer operation behaviors, adjusting a sensitive field encryption strategy and replacing a key; and performing consistency verification on the identity data abstract combination, generating a signature according to the transaction content, and verifying a signature consistency result. In the invention, through a dynamic key path and inter-node sorting coding, real-time adjustment of a flow link is realized, transaction behavior data drives an encryption strategy to be switched in time, a sensitive field key can be dynamically updated along with the change of an operation characteristic, and segmentation consistency confirmation of a client identity is realized through multi-abstract combination cross verification; digital signatures are synchronously incorporated into double check of multi-source abstracts and transaction contents, and when behavior abnormity and node abnormity are found, related processes are actively interrupted, and risk marking is automatically completed.

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 relates to the technical field of cross-border logistics, and discloses a cross-border e-commerce commodity traceability method and system based on a block chain, and the method comprises the following steps: generating a unique traceability code for each cross-border e-commerce commodity, extracting an original information field of the cross-border e-commerce commodity, and calculating an anti-counterfeiting hash value; performing structured packaging on the original information field and the anti-counterfeiting hash value according to a preset template, confirming a transaction through a consensus mechanism, writing the transaction into a block chain, and generating a block hash value; operation information of all logistics nodes is collected, abnormity is recognized through an abnormity detection algorithm, and data fingerprints obtained after abnormity recognition are encrypted and stored; the encrypted and signed operation information is submitted to a block chain network, and a block chain node verifies the validity of a digital signature through a public key of a producer and verifies the legality through a consensus mechanism; and proving an aggregation verification result by using zero knowledge. According to the invention, a complete traceability path is displayed, and full-chain transparent management from production to consumption is realized.

The invention provides an information resource multi-level data recovery method and system and a medium, and the method comprises the steps: generating a snapshot header for each snapshot, which comprises a snapshot ID, a previous snapshot hash value, a current snapshot hash value and an optional digital signature; meanwhile, hash calculation is carried out on all the blocks in the snapshot, and a Merkel tree is constructed to obtain a global hash value; when a new or updated block is detected, carrying out Hash calculation on the new or updated block, adding the new or updated block into a Merkel tree, generating a new snapshot Hash value, and writing the new snapshot Hash value into a snapshot head; and taking the hash value of the previous snapshot as a predecessor reference of the new snapshot to form chained association. In a multi-copy environment, when data recovery needs to be carried out, firstly, related snapshots are screened and determined through a snapshot index and a filter; then verifying the snapshot chain to ensure that the front and back references of each snapshot are correctly matched with the Merkel tree hash value; for block-level data, if copies are inconsistent, a correct version is discriminated through weighted consensus; and finally reconstructing the damaged block.

The invention provides a block chain-based data traceability method and system. The method comprises the steps of obtaining to-be-traced data; querying from a block chain to obtain a hash data chain corresponding to the to-be-traced data; based on the to-be-verified hash value of the to-be-traced data, comparing the to-be-verified hash value of the to-be-traced data with a node hash value corresponding to a transfer device node in the hash data chain to obtain a traceability result of the to-be-traced data; the node hash value in the hash data chain is obtained based on the current hash value of the to-be-traced data under the condition that the verification result of the digital signature data received by any transfer equipment node is successful. According to the method provided by the invention, under the condition that the verification result of the digital signature data received by any transfer equipment node is passed, the current hash value of the to-be-traced data is used as the node hash value to construct the hash data chain, and data traceability of the to-be-traced data is realized based on the hash data chain; and the data integrity and non-tampering performance of each equipment node in the communication process are ensured.