18results about How to "Guaranteed non-repudiation" patented technology

The invention provides a data processing method and device based on a block chain, electronic equipment and a storage medium, and relates to the technical field of information, in particular to the technical field of block chains. According to the specific implementation scheme, random target data is generated through a first smart contract, the target data is stored in a block chain, and the first smart contract comprises logic for generating the random data; service data selected by the user is acquired through a second smart contract, the service data is added with a user signature and stored in the block chain, and the second smart contract comprises service logic for processing the service data; and matching the target data with the business data through a third smart contract to obtain a target list, the third smart contract including a matching rule between the target data and the business data. According to the invention, complete decentration of the data processing process is realized, and the data processing process is open and transparent and cannot be tampered and repudiated.

The invention relates to the technical field of data management, and discloses a medical data secure transmission method and a big data digital signature system, and the method comprises a hierarchical processing step, a privacy enhancement step, a key negotiation step, a segmented transmission step and an audit tracking step. The system comprises a signature preprocessing module, a hierarchical signature module, a privacy purification module, a verification module and a tracing module. According to the method, a risk association map is constructed through hierarchical processing, and accurate identification of data association risks is realized; privacy and availability are balanced through differentiated privacy enhancement, authorization controllability is enhanced in combination with block chain key management, large file transmission integrity and non-repudiation are guaranteed, and whole-course audit is controllable. According to the system, the relevance between the signature and the privacy feature is improved through module design, the integrity and relevance of the signature chain are guaranteed, privacy protection and verifiability are compatible, efficient verification is achieved, the dispute traceability is provided, and pediatric medical data safety is guaranteed in cooperation with the method.

This invention relates to the field of blockchain technology, and in particular to a blockchain-based method and system for verifying talent backgrounds. The method includes acquiring multiple background credentials of the talent to be verified, constructing a spatiotemporal constraint graph, identifying temporal and spatial conflicts, generating conflict feature vectors, constructing a directed acyclic graph of credential dependencies, traversing descendant credentials when a credential is revoked, detecting the existence of substitute credentials, allocating decay coefficients, updating trust, and generating a trust time series. It also involves extracting the trust time series of multiple talents, calculating a weighted cross-correlation coefficient using the decay coefficient as weight, and generating an anomaly verification identifier when the mean of the conflict feature vectors or the weighted cross-correlation coefficient exceeds a threshold, which is then written into the blockchain. This method effectively identifies conflicts and dependency anomalies in background credentials, improving verification accuracy and tamper resistance.

The present application is about a method and a management system for issuing media certificates, and relates to the field of digital certificate issuance technology. The system includes a media registration module, a certificate issuance module, and a certificate registration module. The type of media is controlled during media registration management, and keys of non-safe and reliable types cannot be registered to ensure the reliability and controllability of the media certificate after issuance. After the certificate medium receives the public and private keys of the certificate issued by the certificate center, the basic key stored in the medium is used to decrypt and verify the signature to ensure the authenticity, confidentiality, integrity, and non-repudiation of the received certificate private key.

The present application relates to the technical field of power supply service, in particular to a method and system for real-time monitoring of power supply enterprise business expansion process. A mobile terminal collects field data, and an edge data server generates a to-be-compliant comparison feature sequence; a rule fusion container fuses a rule library and a historical problem library to generate compliance data. Based on field standardization mapping and version summary, existence, applicability, consistency and validity period verification of mandatory / recommended attributes are performed, and compliance, missing elements or non-compliant items are output; positioning information, informationization problem identification containing version and rectification suggestions are generated for non-compliant items, and are converted into time-limited work orders, which are cached under weak network and reconciled with the center server and bidirectionally verified after network recovery. Nodes complete event-triggered compliance record uploading, and the center aggregates and archives to form process-level compliance. The scheme realizes controllable rule upgrading, traceable evidence chain and process compliance closed loop, and improves accuracy and efficiency.

The invention relates to the technical field of computer information processing, in particular to a merchant network access processing method and device and computer equipment. The method comprises the following steps: acquiring network access application data and biological characteristic data of a to-be-accessed merchant; generating a network access electronic document based on the network access application data and a preset standard template; performing identity verification on the to-be-networked merchant based on the biological characteristic data; if the identity authentication of the to-be-networked merchant is passed, performing digital signature on the networked electronic document to obtain a signature document; and determining a network access application result of the merchant to access the network based on the signature document. According to the application, the identity of the signature customer can be verified in the network access process of the merchant, the difficulty of arranging, filing and keeping the network access paper materials of the merchant is reduced, and the network access operation process of the merchant is simplified at the same time.

The invention relates to the technical field of computers, in particular to a project process processing method and device, a storage medium and computer equipment. The method comprises the following steps: acquiring project original data; inputting the project original data into a preset project type identification model, and determining a target project type of the project original data; based on a preset project flow processing link corresponding to the target project type, determining a target processing link required for processing the project original data; creating a corresponding alliance chain node for the target processing link so as to construct an alliance chain according to the alliance chain node; and publishing the project original data to an alliance chain, so that alliance chain nodes process the project original data in sequence to obtain a project processing result. According to the method, automatic and intelligent operation of the project process is realized, and credibility, traceability and tampering resistance of data in the whole process can be ensured.

The invention discloses a multi-level access control and crowd search method and system based on trusted hardware, and relates to the technical field of energy power. According to the invention, a multi-level access control mechanism based on trusted hardware is constructed, so that authority isolation between different levels of data such as power generation, power transmission and power utilization and personnel is realized, and unauthorized access to core power data is prevented; the security of a query mode and an access mode is protected through a hidden search technology, and an attacker is prevented from deducing sensitive information such as a power grid operation state and load characteristics by analyzing search behaviors; dynamic authority management is used for blocking the search authority of revoked personnel to the data of the power monitoring system, so that the non-repudiation of data operation and the anonymity of user identity are ensured; mode leakage in a storage access process is eliminated through an ORAM mechanism, a cloud malicious agent is prevented from obtaining key data flow tracks such as a power equipment state and a fault record through flow analysis, and the data protection strength and the privacy guarantee capability of the energy power cloud storage system are comprehensively improved.

This invention discloses an end-to-end verification method, system, and product for video streams based on Schnorr signatures. The sending end first encodes the audio and video streams into a continuous sequence. For each encoded transmission packet, a point in the group is calculated using random numbers as the random commitment point for the frame signature, where is the generator of the selected elliptic curve group, and the group order is a prime number. Then, a signature scalar is calculated according to the Schnorr signature algorithm. Next, the original video frame data, the random point, and the signature scalar are combined into an authentication data packet, which is pushed to the server and client in real time via a network protocol. Finally, the client performs instant authentication and cache management, while the server performs frame-by-frame verification and aggregated storage. This invention utilizes the linear aggregation characteristics of Schnorr signatures to achieve efficient authentication and traceability of real-time video streams and historical stored data while significantly reducing storage space requirements, ensuring the integrity and evidentiary value of the video data.

The invention discloses an anti-poisoning attack federated learning method based on lightweight homomorphic encryption. The method comprises an initialization stage, a gradient encryption and signature generation stage, an aggregation weight verification and calculation stage, a gradient aggregation stage and a gradient correctness verification stage. According to the method, a unique mask is generated at each client, the encrypted local gradient is blinded, the opponent can obtain the plaintext message only by knowing the mask of each client, and the attack of selecting the plaintext is effectively resisted. According to the method, information is sent among the communication entities through an integrity verification algorithm based on an elliptic curve, so that the integrity of the transmitted information is ensured, an enemy is prevented from tampering with the information, and man-in-the-middle attack is effectively resisted; in the whole training process, through the homomorphic encryption algorithm, data calculation and processing in the ciphertext state are achieved, it is guaranteed that data privacy is not leaked, meanwhile, symmetric homomorphic encryption is adopted, the calculation overhead of a server is reduced, and performance is improved.

The present application proposes an agile digital signature verification method and system. Specifically, the digital signature verification method verifies the integrity and authenticity of the message Mess by performing file verification on the message Mess sent by the sending unit and the verification code MAC of the message Mess through the receiving unit, thereby preventing the message Mess from being tampered with; at the same time, based on the one-time identity OTID shared by the sending unit and the quantum CA and the hash value H obtained by performing a hash operation on the message Mess, 1 (Mess) generates a three-party signature file Sign, and the receiving unit and quantum CA jointly verify the signature of the three-party signature file Sign; on the one hand, each signature uses a one-time identity OTID that changes once, which improves the security of signature verification; on the other hand, quantum CA is based on a fixed-length hash value H 1 (Mess) signature verification can not only ensure the non-repudiation of the message Mess, but also avoid the problem of large memory usage of quantum CA due to the excessive content of the message Mess, reduce the storage burden of quantum CA, and improve the agility of signature verification.

A blockchain security verification and protection method, blockchain node, medium and product, which relate to the field of network security, and include: obtaining received network request data; determining the reputation score of the request source address according to the historical request behavior of the request source address; when the reputation score is higher than the preset score threshold, verifying the legality of the request content through a smart contract, obtaining the verification result, and recording the verification result to the blockchain network; if the verification result shows that the request content is legal, processing the network request data; if the verification result shows that the request content is illegal, reducing the reputation score of the request source address by a preset score; when the reputation score is lower than the preset score threshold, generating early warning information and broadcasting it to the blockchain network; and starting the protection mode according to the early warning information. The implementation of this method improves the ability to identify and prevent security threats.

The application belongs to the technical field of sampling scheduling, and particularly relates to a limited random sampling scheduling method and system under a communication degradation scenario, comprising: obtaining historical participation record statistical parameters; expanding the capacity of an expert sampling pool according to a historical maximum avoidance rate to determine an expansion multiple, and setting the maximum sampling round to a single round; randomly extracting a supervision sample subset from an independent supervision candidate pool; applying an avoidance constraint label to the candidate nodes in the expanded expert sampling pool according to the historical participation record, and generating a random sequence through a concurrent safe random permutation algorithm; sequentially screening the nodes without the avoidance constraint label from the random sequence, and adding them in sequence until the target number of extracted people is reached to form an expert sample subset; and aggregating the supervision sample subset and the expert sample subset to generate a sampling result list. Thus, the problems of high networking dependence, poor constraint adaptation, no pre-checking, poor isolation of supervision roles, and race conflicts under high concurrency in the prior art are solved.

The present application relates to the field of network information security technology, and specifically to a quantum-safe digital signature verification method and system. Specifically, the digital signature verification method introduces a one-time identity associated with the privacy identity of the user unit, thereby adding a new variable each time a signature is made, and then a one-time one-key signature is performed through a hash function based on a linear shift register, and further relies on an irreducible polynomial of a first quantum random number and a second quantum random number to jointly ensure the security of the signature, so that the security of the digital signature process reaches a quantum security level, and can resist increasingly powerful classical computing attacks and future disruptive quantum computing attacks. In the signature verification link, on the one hand, the integrity of the business information is verified based on the hash function of the linear shift register; on the other hand, the relevance and legitimacy are verified based on the one-time identity to ensure the non-repudiation of the user's digital signature.

The invention discloses an unmanned aerial vehicle cluster data secure transmission method supporting malicious node detection. The problems that in the prior art, the number of relay nodes of a multi-hop unmanned aerial vehicle network is large, and authentication lacks are solved. The method comprises the following steps: initializing a key distribution center; registering and authenticating each unmanned aerial vehicle and a ground control center according to an initialization result, collecting transmission data by any first data unmanned aerial vehicle in the multi-hop unmanned aerial vehicle network, calculating a certificateless aggregation signature, and transmitting the data to an adjacent second data unmanned aerial vehicle; the second data unmanned aerial vehicle adds data carried by the second data unmanned aerial vehicle to the transmission data to obtain an aggregation message, and transmits the aggregation message to an aggregation unmanned aerial vehicle in the multi-hop unmanned aerial vehicle network; and the aggregation unmanned aerial vehicle verifies the aggregation message, and if the verification does not pass, malicious member detection is operated to obtain malicious members in the link. Otherwise, the aggregation unmanned aerial vehicle sends the message to the ground control center; according to the method, non-interactive rapid negotiation of the session key is realized, and high security in multi-hop transmission is guaranteed.

The invention discloses a cross-border e-commerce multi-country data collaborative management method and system, and belongs to the field of computer network and data processing, and the method comprises the steps: obtaining local original e-commerce service data by each edge node, and obtaining a standardized feature vector; each edge node uses the standardized feature vector to train a local model, generates a model parameter update package indicating a model optimization direction, executes privacy protection processing including differential privacy noise injection on the model parameter update package, and sends the model parameter update package to a collaborative management center server; the collaborative management center server receives the model parameter updating packages from the multiple edge nodes, calculates an adaptive aggregation weight coefficient, and executes weighted aggregation to update a global collaborative model; and the collaborative management center server predicts the commodity demand quantity of the future time domain based on the updated global collaborative model, and generates a deterministic service scheduling instruction. According to the invention, the total cost of cross-border logistics is reduced, and the inventory turnover rate is improved.

The application relates to the technical field of electronic data digital processing, and discloses a pollution source non-site environmental supervision electronic evidence system combined with hash operation, which comprises the following steps: generating a pseudo-random cryptographic sequence by using a true random number generator, extracting a cross-modal consistency tensor, and generating a dynamic semantic hash through hash operation; adopting an interactive multi-model and an unscented Kalman filter to decouple physical link intrinsic noise, extract adaptive physical micro-entropy; deriving a hardware-level device private key in a trusted execution environment based on a physically unclonable function; performing strong binding signature on multi-dimensional trust features and a time stamp, generating a living body electronic evidence certificate, and completing synchronism and anti-replay verification through a cloud digital twin model. The application extends a trust chain to a bottom layer physical sensing link, realizes identification of AI injected fake data and physical layer tampering behavior, constructs a full-link trust closed loop from a physical source to a cloud judicial solidification, and guarantees the authenticity and non-repudiation of non-site environmental supervision data.