434 results about "On-the-fly encryption" patented technology

The invention relates to the technical field of medical terminal data secure transmission and real-time management and control, in particular to a bank medical intelligent terminal data secure transmission and real-time management and control system and method. The behavior analysis module is used for calculating threat indexes through federated learning, the strategy module is used for dynamically switching algorithms and isolating anomalies, and the audit module is used for block chain verification and zero knowledge verification to generate a report. According to the method, dynamic encryption and fragmentation cutting are driven through sensitivity grading labels, the accuracy of data protection is improved, a time sequence attack path is blocked based on cooperation of fragmentation time sequence reference and an encryption transmission protocol, and dual guarantee of decentralized auditing and tampering positioning is realized by combining block chain hash identification and zero-knowledge proof verification, so that the security of data protection is improved. And full-link safe transmission and real-time management and control requirements of medical terminal data are met.

The invention discloses a human resource management method and system based on data security. The method comprises the steps that multi-source human resource data are collected through a standardized interface, and sensitive levels are marked in a classified mode; calling a dynamic encryption engine based on the sensitive level and the data type, performing asymmetric encryption on the structured data, and performing hybrid encryption on the unstructured data; a dynamic hierarchical access control strategy is generated in combination with user roles and service scenes, and the permission range is adjusted in real time; laws and regulations such as GDPR and CCPA are analyzed through a compliance rule base, data operation legality is automatically verified, and illegal behaviors are blocked; k-anonymity and differential privacy technologies are adopted to desensitize sensitive data, and privacy protection and data availability balance are ensured; and recording a full-process operation log based on the block chain and generating a non-tampering audit report. The system comprises a data classification acquisition module, a dynamic encryption engine module, an access control engine module and the like. According to the method, the problems of data protection rigidness, compliance response lag and privacy-utility imbalance of a traditional HR system are solved.

The invention discloses an Internet of Things data transmission optimization system based on intelligent routing, and relates to the technical field of data transmission optimization. The heterogeneous network access module supports adaptive switching of multiple protocols such as 5G, NB-IoT and LoRa, and monitors link quality; intelligent routing decision selects an optimal path by means of deep reinforcement learning, and end-to-end delay is reduced; data distribution scheduling split data streams are transmitted in a multi-path parallel mode, and forward error correction is combined to guarantee reliability. The network state prediction uses an LSTM to predict bandwidth, and a route is adjusted in advance; the secure transmission integrates iris authentication and dynamic encryption. According to the invention, efficient, reliable and secure transmission is cooperatively realized, energy collection and dormancy strategies are combined, the equipment endurance is greatly prolonged, the network energy consumption is reduced, and the method is suitable for industrial control, telemedicine and other scenes with high requirements on real-time performance and reliability.

The invention relates to the technical field of financial data security, and discloses an intelligent ERP financial system data security management and authentication method. The method comprises the following steps: acquiring an original transaction data stream in an ERP system, extracting key financial fields, and dividing the key financial fields into a sensitive data set and a common data set according to a preset rule; a dynamic encryption strategy framework is constructed based on sensitive data set attributes, the framework comprises multiple levels of encryption strength parameters, and the corresponding encryption strength can be automatically matched according to the authentication level of an access request. And monitoring a system data access behavior in real time, collecting feature data, inputting the feature data into the anomaly detection model, and triggering access blocking when an output anomaly access probability exceeds a threshold value. And generating a periodic integrity verification instruction according to the sensitive data updating frequency, performing integrity verification by using a hash chain technology, recording a result and marking a tampering risk level. And based on the association relationship between the tampering risk level and the abnormal access probability, generating an updated security policy and synchronizing the updated security policy to each data access node.

The invention relates to the technical field of intelligent control, in particular to a dynamic encryption-based data link security management and control system and method.The dynamic encryption-based data link security management and control system comprises a dynamic encryption engine, a key management cluster, a link monitoring unit and a security policy execution array, the switching between the SM9 cryptographic algorithm and the quantum resistance NTRU algorithm is supported; the key management cluster realizes distributed key negotiation and storage through a block chain smart contract, and establishes a bidirectional authentication channel with the dynamic encryption engine; the link monitoring unit is integrated with a multi-dimensional flow probe, and continuously collects link delay jitter, data packet entropy characteristics and protocol compliance indexes; the security policy execution array is deployed at a boundary node of a data link, and is configured with a dynamic access control list and a hardware-level data purification module. Therefore, the problems of insufficient encryption algorithm resistance, significant key update delay, multi-dimensional threat sensing blind areas, dynamic strategy response delay and the like in the prior art are solved.

The invention discloses a market supervision data security protection method and system based on a dynamic encryption strategy, and relates to the technical field of information security. The method comprises the following steps: generating an initial seed input improved four-dimensional hyperchaotic system, and generating a dynamic encryption parameter set through chaotic mapping iteration; the method comprises the following steps: carrying out adaptive fragmentation on market supervision data to be encrypted to generate a data sub-block set, carrying out dynamic S-box-based symmetric encryption on odd index sub-blocks, carrying out a chaotic stream encryption mode associated with a current dynamic sub-key on even index sub-blocks, and generating a unique quantum chaotic fingerprint for each encrypted sub-block; a searchable encryption index is jointly constructed by using a post-quantum encryption algorithm and a lattice-based encryption algorithm and is used for carrying out query operation under the condition that data is not decrypted; the encryption security, privacy protection capability and quantum computing attack resistance of the market supervision data are remarkably improved, and meanwhile, an efficient, flexible and extensible data security protection scheme is provided.

The invention discloses an enterprise registration archive sharing and shareholder right-of-knowledge guarantee system based on full-chain data tracing and auditing, and relates to the technical field of archive management. The system comprises an identity authentication module, an archive storage management module, an archive sharing module, a shareholder right of knowledge guarantee module, a comprehensive statistics module and a system security module. According to the system, full-chain tracing of archive data is realized by utilizing a block chain technology, all change operations are completely recorded, and the transparency of archive management is remarkably improved; the security and authenticity of the shared archive are ensured through electronic signature, watermark and two-dimensional code anti-counterfeiting technologies; shareholders can track stock equity states and change records of enterprises in real time and know enterprise change information in time through a dynamic notification mechanism, so that the right of knowing of the shareholders is comprehensively guaranteed; through dynamic encryption, authority management and abnormal behavior detection, the security of file storage and access is ensured, and data leakage and tampering are effectively prevented.

The invention discloses a method and system for encrypting sensitive data based on a large model, relates to the field of data security, and solves the problem that a traditional fixed encryption strategy lacks dynamic adaptability. An encryption strategy container is generated through a data evaluation server, an evaluation module analyzes data content characteristics through a large model, a multi-dimensional sensitivity evaluation matrix and a use scene-risk level association model are established, and meanwhile the performance of an encryption module is tested; calculating a risk level according to a data sensitivity weight and a scene risk coefficient, triggering an alarm if the risk level exceeds a threshold value, otherwise, comparing a standard scene risk model to adjust encryption algorithm parameters, and generating a scene self-adaptive dynamic encryption strategy in combination with an encryption efficiency curve after performance compensation; and finally, the encryption gateway executes encryption. The method can improve the resource utilization rate through dynamic adaptive encryption, guarantees the stable efficiency through real-time performance compensation, improves the perspectiveness through intelligent prediction, reduces the safety risk and management cost through whole-process protection, and is suitable for a multi-industry sensitive data protection method.

The invention discloses a finance and taxation data intelligent management method and system based on encrypted storage, and relates to the technical field of enterprise finance and taxation management, and the method comprises the steps: collecting finance and taxation related data from a plurality of channels through a data obtaining module, carrying out the sensitivity evaluation of the data, and dividing the sensitivity grade; key generation and encryption strategy setting: making a corresponding encryption scheme according to the sensitivity level of the data, including generation of an encryption key and setting of a dynamic encryption strategy; data encryption and storage: carrying out encryption processing on finance and tax data by utilizing the obtained secret key and the encryption strategy, and safely storing a ciphertext; and data access and dynamic encryption maintenance: providing a controlled encrypted data access service, and executing dynamic security maintenance on the stored data according to a predetermined strategy. According to the invention, the finance level, the intelligent degree and the long-term compliance of finance and tax data protection are effectively improved.

The invention discloses an unmanned sweeper and cloud platform data interaction system based on hybrid encryption, and particularly relates to the technical field of communication interaction information security, which comprises an authority authentication module, a data encryption module, an information processing module, a master-slave authentication control module, a transverse trust management module and a communication scheduling module, an encryption strategy and a key template are dynamically matched through a task score and a mapping model, off-line identity authentication, transverse trust signature and a channel switching mechanism are supported, and the security of data transmission, the fault tolerance of the system and the cooperative reliability are improved under the scenes of task switching, network abnormity and the like; according to the method, a task-driven dynamic encryption matching mechanism is realized, and the data security and the resource efficiency are improved; a multi-level authentication and role signature map is constructed, and the collaborative credibility and fault-tolerant capability of the equipment are enhanced; and a priority index scheduling strategy is introduced to ensure that key data is preferentially transmitted in a high-fluctuation network environment, so that the overall stability and safety of the system are improved.

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 provides a data processing method and device for an integrated virtual employee care Saas platform. The data processing method comprises the steps of obtaining associated data of employees through the integrated virtual employee care Saas platform; the associated data comprises historical behavior data, working state data and emotion fluctuation data; adjusting and optimizing a preset psychological state recognition algorithm based on the associated data to obtain an adjusted and optimized psychological state recognition algorithm; evaluating the associated data based on the tuning psychological state recognition algorithm, generating a psychological state evaluation result of the employee, and automatically pushing care scheme information when the psychological state evaluation result of the employee triggers an early warning threshold value; and encrypting and storing the associated data by adopting a dynamic encryption algorithm. According to the invention, the accuracy of psychological state assessment is improved, and the data security is guaranteed.

The invention provides a geographic information data dynamic encryption method and system based on spatial-temporal characteristics. The method comprises the following steps: dynamically identifying a hot spot region by analyzing a timestamp, geographic coordinates and frequency data of a user access request, and generating a multi-dimensional access weight matrix fusing a time attenuation factor and a spatial distance factor; and dividing data block granularity according to the access popularity value in the matrix, and performing spatial segmentation on the geographic information data. A dynamic key seed is generated in combination with a space-time factor, a temporary encryption key is obtained through discrete logarithm operation, homomorphic encryption is implemented, and a space-time feature identifier is embedded. And during cross-mechanism aggregation, the authority is verified through the identifier, ciphertext superposition is completed, and secure data aggregation is realized. According to the method, through spatio-temporal dynamic encryption and authority verification, secure sharing and efficient aggregation of multi-mechanism geographic information data are realized.

The invention discloses an AI-based automatic connection and handshake protocol for a trusted data space connector. The AI-based automatic connection and handshake protocol comprises a data supply end connector, a data demand end connector and a platform operation end, the data supply end connector is used for collecting and preprocessing data; the demand end connector is used for receiving and processing data; the platform operation end is used for connection management, authority distribution and security auditing; the method has the beneficial effects that through automatic connection and an intelligent handshake protocol, manual intervention is reduced, and the data circulation cost is reduced; multi-factor authentication, dynamic encryption and privacy protection technologies are adopted to ensure the safety of the whole life cycle of the data; aI and machine learning technologies are introduced, so that the system can intelligently select an optimal strategy according to real-time network conditions and data features; interoperation and data sharing among different data spaces are realized, and circulation and value mining of data elements are promoted.

The invention provides a water conservancy information security protection method and system. The method comprises the following steps: S1, edge equipment physical security reinforcement; S2, dynamic encrypted data acquisition; S3, adaptive fragmentation redundancy transmission; a protection module is deployed in a water conservancy sensor and an RTU, equipment vibration, uncovering and environmental parameters are monitored, abnormal physical attacks or environmental overrun are detected, a secret key is automatically erased, a data protection mode is started, data leakage when equipment is physically damaged is prevented, data security of edge equipment is guaranteed, and the safety of the equipment is improved. And in cross-system data interaction, an MPC or federated learning technology is adopted, original data is locally reserved, and a block chain audit log is generated to record a calling behavior, so that data sharing is realized, data is ensured not to be locally out, data privacy is guaranteed, and a data calling tracing basis is provided.

The invention discloses a dynamic encryption method and a dynamic encryption device for secure transmission, and relates to the technical field of secure encryption and transmission, and the method comprises the steps: receiving a secure transmission task sent by a user side; performing security risk fuzzy detection to obtain a path risk fuzzy detection result; performing encryption optimization configuration to obtain an initial encryption strategy; obtaining current node update monitoring data corresponding to the current transmission node; inputting a transmission security risk prediction channel to obtain a current node prediction risk coefficient; and performing dynamic encryption optimization according to the current node update monitoring data to obtain a current node optimization encryption strategy, and performing secure transmission on communication transmission data. The technical problems that in the prior art, static encryption lacks flexibility, cannot adapt to complex transmission environment changes and transmission path safety risk assessment is insufficient, so that data transmission safety and reliability are insufficient are solved, and the technical effect of improving data transmission safety and reliability is achieved.

The invention provides a dynamic encryption communication method, system and device for an Internet of Things device, and a storage medium, and the method comprises the steps: obtaining the current geographic position information of the Internet of Things device, and determining the security demand level of the Internet of Things device according to the current geographic position information and a preset geographic position list of different security levels; acquiring a network performance index of a mobile network shared channel at the position of the Internet of Things equipment, and determining a congestion degree parameter of a surrounding network environment according to the network performance index; classifying according to the service type of the Internet of Things equipment to obtain a service volume level; and integrating the obtained security demand level, the congestion degree parameter and the service volume level, dynamically selecting a corresponding encryption algorithm to encrypt sensitive data of the Internet of Things equipment, and transmitting the encrypted data to a cloud server. By dynamically selecting the encryption algorithm and adjusting according to the location information, the security and the energy efficiency can be balanced in different scenes.

The invention discloses a self-adaptive grid dynamic encryption method for underground water pollution migration simulation, which belongs to the technical field of underground water pollution migration simulation, and comprises the following steps of: forming 0.05-meter super-resolution grids at the periphery of a dispersed pollution source through a local grid dynamic encryption technology triggered by a pollution source intensity gradient threshold; the pollutant frontal surface tracking error is greatly reduced, and the high-precision pollutant migration simulation capability is realized. Moreover, based on an intelligent grid reconstruction algorithm of a flux threshold, the number of calculation units is reduced by 62%, the time consumed by single simulation is shortened to 3.3 hours, and the overall mass conservation error is kept to be smaller than 1% while the calculation efficiency is improved. Meanwhile, for a heterogeneous aquifer, through a pollution flux and stratum permeability coefficient dual-drive encryption strategy, the solute transport prediction precision of the model at the boundary of a clay lenticular body is greatly improved, and the problems that in the prior art, the simulation precision of the periphery of a pollution source is insufficient, and the calculation efficiency is low due to global encryption are effectively solved.

The invention relates to the technical field of quantum communication and network security, in particular to a dynamic encryption method based on quantum key distribution, which comprises the following steps of: generating a multi-layer quantum entanglement state and adaptively setting a measurement basis in combination with a chaos scheduler; if the identity verification is qualified, quantum bits are measured at different levels, results are combined, and a shared quantum key is formed after Hash processing; the system end fragments plaintext data and encrypts the plaintext data by using the subkey segments; when abnormity is detected, entanglement purification or key updating is carried out immediately, and when communication is finished, high-fidelity entanglement resources are recycled and chaotic scheduler parameters are deleted. Multiple times of actual measurement and comparison show that the method can still maintain excellent safety and throughput performance in noise and attack environments.

The invention discloses a virtual power plant terminal-oriented encryption transmission and self-healing control cooperative system, which comprises a dynamic encryption module, a hierarchical encryption system is constructed on the basis of a quantum chaos sequence and a national secret SM9 algorithm, a dynamic session key is generated in real time through an edge node, and terminal power data is subjected to hierarchical encryption; the self-healing control module integrates a block chain distributed account book and a deep reinforcement learning model, constructs a health degree portrait of the terminal equipment in real time, monitors a link state through a topology sensing algorithm, predicts a fault propagation path, and triggers communication link reconstruction and computing resource elastic scheduling for self-healing; the collaborative optimization module constructs an optimization objective function, balances encryption strength and self-healing efficiency, adopts a quantum topology photonic crystal optimization algorithm to determine a weight coefficient in the optimization objective function, and realizes global optimal matching of an encryption-self-healing strategy; and the edge computing node performs terminal-edge cloud cooperative training according to the global optimal matching strategy of the encryption-self-healing strategy.

The invention relates to the technical field of data encryption, and discloses an intelligent data security encryption method in an edge computing environment. The method comprises the following steps: acquiring an original data stream, decomposing through discrete wavelet transform, and adding a random disturbance sequence; constructing a dynamic encryption strategy network, generating a dynamic key matrix and distributing an access control strategy; according to the data security level and the node load, adaptively selecting an encryption algorithm and generating an encrypted metadata label; verifying data integrity by using a decentralized consensus mechanism and a zero-knowledge proof algorithm; a key is updated through a key updating model based on a time decay function, and the key is stored in combination with a block chain technology. According to the method, the problems of data encryption, access control, key management and the like in the edge computing environment are solved, the security and integrity of the data are guaranteed, and the security and reliability of data processing in the edge computing environment are improved.

The invention relates to the technical field of network security, and discloses a protection system for network security authentication. The system comprises an identity verification module, a behavior analysis module, a threat detection module, a dynamic encryption module and a response processing module. The identity verification module fuses the multi-modal biological characteristics and dynamic token verification to generate a data set; the behavior analysis module extracts behavior time sequence characteristics by using a space-time convolutional neural network; the threat detection module constructs a topological graph based on the graph attention network to detect abnormity; the dynamic encryption module encrypts communication data by adopting a quantum key distribution and chaos sequence algorithm; and the response processing module generates a response instruction set for safety protection according to reinforcement learning. According to the method, the identity verification accuracy is effectively improved, abnormal behaviors and threats are accurately detected, dynamic encryption and intelligent response are realized, and the network security protection level is remarkably improved.

The invention discloses a secure data transmission method in a cloud platform salary management system, which belongs to the technical field of cloud platform data transmission, and comprises the following steps: acquiring user post attributes and authority levels to generate a post authority matrix, and generating a segmentation encryption rule to dynamically segment salary data to generate an encrypted data segment group; generating an environment security score based on the characteristics of the current network transmission path, and verifying the environment security score with the encrypted data segment group; after data transmission is completed, implanting a two-dimensional verification watermark into the encrypted data segment group to generate a controlled data packet; and generating a protection intensity grade and a gradient response instruction based on the current operation step and the environmental safety score, and executing a dynamic data protection operation. According to the method, the security classified storage, the dynamic encryption transmission and the accurate tracing control of the salary data can be realized by adopting the intelligent verification mechanism based on the dynamic segmentation encryption of the post permission matrix and the environmental security score and the multi-level data control technology of the two-dimensional verification watermark.

The invention discloses a big data analysis system and method for leaking stoppage and repayment of transport vehicles. The big data analysis system comprises a traffic behavior monitoring module which collects vehicle tracks and load records in a road network traffic data flow, analyzes a traffic time distribution rule, calculates a path deviation index, compares the difference between actual load and declaration data, and generates an abnormal traffic index; and the fee evasion risk prediction module is used for positioning passing nodes of high-risk vehicles based on the abnormal passing indexes, analyzing a matching relationship between node characteristics and historical fee evasion events, evaluating a road network risk level and generating a fee evasion probability prediction result. According to the big data analysis system and method for leaking stoppage and repayment of the transport vehicle, a quantum key distribution and lightweight encryption fusion mechanism is constructed, full-link dynamic encryption of data transmission is realized, man-in-the-middle attack and data tampering are effectively resisted, the security of core indexes in links of acquisition, transmission and analysis is guaranteed, and a trusted data basis is provided for intelligent inspection.

The invention provides a power network data security encryption method and system based on deep learning, and the method comprises the steps: obtaining an encryption demand data set of a target power network, carrying out the multi-level feature extraction processing of the encryption demand data set, and obtaining the spatial and temporal distribution features and correlation features of the encryption demand data; and based on a preset deep learning strategy network, performing dynamic encryption strategy matching processing on the spatial-temporal distribution characteristics and the associated characteristics, generating a dynamic encryption strategy of the encrypted data sequence, performing encryption operation on the encrypted data sequence according to the dynamic encryption strategy, generating an encrypted power network data set, and sending the encrypted power network data set to a server. And encrypting the power network data set, transmitting the encrypted power network data set to a data storage node of a target power network, performing security verification processing on the encrypted power network data set, generating an encryption strategy optimization instruction, and triggering encryption strategy adaptive updating. According to the invention, the real-time security of power data transmission is ensured.

The invention belongs to the technical field of audio and video fusion transmission, and discloses an audio and video signal fusion transmission method and device, equipment and a medium, and the method comprises the steps: extracting 512-dimensional semantic feature vectors of an audio and a video, and generating a joint feature matrix through a cross-modal attention mechanism; calculating a fusion feature flow based on a coefficient alpha output by the scene classification model; a quantum random number generator is used for generating a session master key Kmain, the session master key Kmain is packaged into an encrypted session key Kenc through a Kyber-768 algorithm, and frame-level dynamic encryption is carried out on the fusion feature flow; and selecting a GPMI Type-B wired protocol or wireless transmission based on QUIC according to the transmission environment. According to the invention, the transmission efficiency, the anti-interference capability and the anti-quantum-attack security are improved, and multi-scene requirements are met.

The invention relates to the technical field of digital collection verification, and particularly discloses a digital collection verification method and system, and the method comprises the steps: obtaining the metadata of a target digital collection from a block chain, and synchronously obtaining the historical transaction record of the target digital collection and the operation behavior data of a current dealer; generating a dynamic encryption key based on the creation hash and the issuing timestamp in the metadata of the target digital collection and the historical transaction record, and generating a time-sensitive verification token based on the dynamic encryption key; generating a multi-chain verification result based on the hash operation result of the dynamic encryption key, the time sequence characteristics of the historical transaction data, the operation behavior data of the current trader and the time-sensitive verification token; performing weighted voting on the multi-chain verification result based on a consensus mechanism to obtain a final verification result; multi-chain verification results are effectively integrated, the one-sidedness of single verification is avoided, and the reliability and credibility of the whole digital collection verification process are enhanced.

The invention discloses a mobile payment encryption system based on a data random algorithm, and the system comprises a collection module which is used for collecting multi-modal data, and constructing a cross-modal entropy source pool; the random seed generation module is used for extracting feature vectors from the cross-modal entropy source pool and generating initial random seeds; the time sequence self-adaptive random chain module is used for generating a random factor sequence based on the initial random seed recursion and forming a random chain structure; the encryption module is used for jointly encoding the random factor sequence and transaction data to be encrypted, generating a dynamic encryption parameter set and encrypting the transaction data; and the chain type updating module is used for collecting network environment parameters, updating the time sequence self-adaptive random chain and generating a new dynamic encryption parameter set so as to form a chain type evolved encrypted data sequence. According to the method, the cross-modal entropy source and the time sequence random chain are utilized to realize dynamic encryption of the mobile payment data, and the method has the advantages of high entropy randomness, strong attack resistance and high transmission security.

The invention discloses an AI data security management method and system based on a model context protocol. According to the method, the model state, the environment parameters and the user session information can be collected and analyzed in real time, and a dynamic encryption strategy and a permission token are generated. And each node uploads an encryption gradient through an MCP protocol and adds differential privacy noise, the federal learning coordinator aggregates parameters by using a secure multi-party computing technology to generate a global model, and synchronously updates a model version to all nodes through the MCP protocol. The method and the system can be applied to intelligent customer service, medical diagnosis and other scenes, and data security and compliance are remarkably improved.

The invention discloses an electronic document tracing method and device based on dynamic encryption and multi-modal watermarking, and relates to the technical field of information security and digital rights management. The method comprises the following steps: acquiring a PDF document uploaded by a user, encrypting the PDF document by adopting a randomly generated main encryption key, and acquiring and storing the encrypted PDF document; the content of the encrypted PDF document is analyzed, secret information is embedded into a picture in the document based on a two-dimensional discrete cosine transform algorithm, and picture watermark embedding is completed; a self-adaptive watermark embedding algorithm is adopted to embed secret information into a text in the document, and text watermark embedding is completed; related information of the checking operation is written into a block chain database; dynamically extracting watermark information from the divulged PDF document by adopting a watermark extraction algorithm; and querying a traceability database according to the extracted watermark information, and outputting a traceability result by comparing the extracted watermark information with information in a database storing various watermark information. According to the invention, the survival rate and the concealment of the watermark can be improved.