10results about How to "Guaranteed non-repudiation" patented technology

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 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 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 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.