81 results about "Certificate" patented technology

The invention belongs to the field of platform management, and particularly discloses an engineering bidding and tendering platform management method and system, and the method comprises the steps: storing and obtaining a demand description text from a bidding project chain through a block chain node, extracting a keyword sequence through natural language processing, and obtaining a bidding demand feature vector; according to the bid invitation demand feature vector, performing vector conversion processing on qualification certificate data submitted by a bidding enterprise, judging the similarity between the converted vector and the demand feature vector, and if the similarity exceeds a preset threshold, determining preliminary qualification matching; extracting performance index data from historical performance records on the bidding enterprise chain, and fusing the performance index data with the preliminary qualification matching result by adopting a vector embedding method to obtain a comprehensive qualification vector; the objective of the invention is to solve the problems of low qualification examination efficiency, insufficient data credibility and non-transparent business scenes in the verification process in the traditional bidding process.

The invention discloses an AI model manual annotation method with associated logic, relates to the technical field of artificial intelligence and optical character recognition (OCR), and aims to solve the problems that the existing OCR recognition technology is low in accuracy and lacks an effective content verification and correction mechanism when processing complex certificates. The method comprises the following steps of: firstly, extracting a driving license, a driving license, an electronic license and text contents of various certificates through OCR (Optical Character Recognition) scanning equipment; constructing an association logic AI model for storing certificate information association logic rules; performing structured labeling processing on an OCR recognition result to realize document information classification and regularization; performing logic verification on the annotated content by utilizing an association logic AI model, marking problems and proposing a modification scheme; and finally, corrected data is fed back to the model to complete optimization iteration. According to the method, the logic contradiction can be accurately found and corrected, the identification accuracy of the AI model on multiple types of certificates is remarkably improved, the manual labeling error is reduced, and the certificate information extraction efficiency and reliability are improved.

The invention discloses a URL (Uniform Resource Locator) security analysis method and device for an end-side large language model and a medium, and belongs to the field of network and information security. The method comprises the steps of collecting multi-modal data such as a URL analysis structure, DNS / certificate metadata, front-end code sampling, an OCR text and a dynamic behavior event sequence; performing exponential decay weighted aggregation on the dynamic events in the sliding time window; generating a static structure feature, a text semantic feature and a threat intelligence similarity based on the multi-modal data; fusing the multi-modal features by adopting a gating attention mechanism; inputting the fusion features and the readable context into an end-side large language model, and calling a security analysis tool set under limited decoding; a risk score and a minimum sufficient evidence are obtained through two-stage scoring; and executing an end-side security policy according to the scoring threshold value and leaving a trace by using a JSONL structure. According to the method, in-end closed-loop analysis is realized, the detection accuracy is remarkably improved, and the method is suitable for various deployment scenes such as mobile terminals and edge gateways.

The invention relates to the field of digital certificates and certificate application, and discloses an anti-quantum cryptography agile migration method capable of dynamically adapting to an algorithm, which is cooperatively executed by a strategy server, a certificate server and an application terminal: the strategy server monitors a migration progress and dynamically generates and issues a migration strategy; the application terminal analyzes the strategy and applies for a specified type of certificate from the certificate server; the certificate server carries out processing and issues a certificate; and the application terminal dynamically selects an algorithm compatible with the target application to establish secure connection according to the strategy during communication. According to the method, through automatic certificate management driven by a strategy and terminal self-adaptive algorithm selection, agile and smooth migration of the cryptographic algorithm is realized, and the problems of compatibility and safety management in the migration process are effectively solved.

The invention provides a service approval auxiliary method, device and equipment, a medium and a program product, which can be applied to the technical fields of artificial intelligence and financial science and technology. The method comprises the steps that classification prediction is carried out based on a received certificate image to obtain a certificate type, screening is carried out in a preset extraction strategy library based on the certificate type to obtain a target extraction strategy, the extraction strategy library comprises a plurality of candidate extraction strategies, and each candidate extraction strategy has a matched certificate type; processing the certificate image through the target extraction strategy to obtain to-be-approved information, and forming an application material with the application text and user historical data; and based on a preset thinking chain indicated by the preset cue word, the large model is guided to generate an approval auxiliary conclusion based on the application material, and the preset thinking chain comprises a reasoning step for guiding the large model to approve the application material based on the approval risk control expert role.

The invention discloses an anonymous voucher generation system and method, and belongs to the technical field of computer security, and the anonymous voucher generation system comprises a certificate mechanism, a plurality of users and a server side. The certificate authority is used for sending the attribute, the credential value, the pseudonym and the accumulator evidence of the first user to the first user; the first user is configured to generate a blinded credential using the credential value, generate an accumulator auxiliary parameter based on the accumulator value and the accumulator evidence, generate a first zero knowledge proof based on the accumulator auxiliary parameter and a blinding auxiliary parameter in the blinded credential, the first zero knowledge proof is used for proving that the first user has the blinded certificate, the accumulator evidence, the accumulator auxiliary parameter and the blinding auxiliary parameter; and the server side is used for verifying the validity of the first zero knowledge proof, and verifying the correctness of the public attribute, the blinded certificate and the accumulator auxiliary parameters by adopting a bilinear pairing operation. The system can reduce the calculation overhead of the user in the anonymous credential technology.

The invention relates to a certificate information desensitization method and device in development or test business. Comprising the steps of receiving a certificate information desensitization request of a current batch; splitting target certificate information in the certificate information desensitization request to obtain a target address code, a target date and a target sequence code in the certificate information; searching an address code virtual value corresponding to the target address code from the address code dictionary of the current batch; searching a random day number corresponding to the target address code from a random day number dictionary of the current batch, and calculating a date virtual value according to the target date and the random day number; encrypting the target sequence code to obtain a sequence code virtual value; calculating a check code virtual value; and splicing the address code virtual value, the date virtual value, the sequence code virtual value and the check code virtual value in sequence to obtain desensitized certificate information of the target certificate information. By means of the method, desensitization of the certificate information is achieved, and development or testing can be conducted smoothly through verification of the certificate information in the development or testing process.

An embodiment sends, at a first time, from a boundary server to a client system in response to a challenge request, a challenge specifying a computational problem to be solved by the client system, the boundary server specified in a challenge list sent to the client system. An embodiment receives, at a second time, at the boundary server, a challenge response from the client system, the challenge response comprising a solution to the computational problem. An embodiment generates, at the boundary server, a certificate encoding an elapsed time between the first time and the second time, the certificate usable by the client system to prove a location of the client system. An embodiment sends, from the boundary server to the client system, the certificate.

This disclosure relates to a certificate computer system. A rules store stores, for a template identifier, template identifiers of dependency certificates, attribute paths, and functions to compute output certificate attributes. A certificate metadata store stores, for a certificate identifier, a validity state, certificate identifiers of dependency certificates, and a hash value. A processor generates a certificate by receiving a request comprising a template identifier and dependency certificates. The processor queries a rules store to retrieve a template, and computes a value for the attributes by applying a function from the rules store on attribute values of the dependency certificates. The processor creates the output certificate including the computed value for the computed attributes. The processor may further verify an input certificate by comparing a hash value to the certificate metadata store and retrieving certificate identifiers of dependencies associated with the certificate identifier and checks if dependency certificates are valid.

The application belongs to the field of platform management, and specifically discloses an engineering bidding platform management method and system, wherein the method comprises the following steps: obtaining a demand description text from a bidding project chain through a blockchain node, extracting a keyword sequence by using natural language processing, and obtaining a bidding demand feature vector; performing vector conversion processing on qualification certificate data submitted by a bidding enterprise according to the bidding demand feature vector, judging the similarity between the converted vector and the demand feature vector, and determining preliminary qualification matching if the similarity exceeds a preset threshold; extracting performance index data from historical performance records on a bidding enterprise chain, and obtaining a comprehensive qualification vector by using a vector embedding method to fuse the performance index data and the preliminary qualification matching result; and the application aims to solve the problems of low qualification examination efficiency, insufficient data reliability and non-transparent verification process in the traditional bidding process.

The application provides a certificate machine code correction method and a storage medium. The method comprises the following steps: cutting the machine code according to the certificate specification to obtain a plurality of identification objects; if one identification object has one missing character, the 731 weighting method is used to calculate and obtain the missing character according to the successfully recognized known character; if one identification object has two missing characters, the weight position and the at least two possible characters corresponding to each missing character are determined according to the identification result, wherein if the missing character is a check bit, the weight position corresponding to the missing character is set as a check bit identification value; and the 731 weighting method is used to determine each missing character according to the successfully recognized known character, the weight position and the at least two possible characters. The application can accurately and efficiently correct the missing characters when the complete machine code cannot be read.

In one embodiment, in response to a challenge request, a challenge is sent from a border server to a client system at a first time, the challenge specifying a computing problem to be solved by the client system, the border server being specified in a list of challenges sent to the client system. One embodiment receives, at a second time, a challenge response from the client system at the border server, the challenge response including a solution to the compute question. One embodiment generates, at a border server, a certificate encoding a time elapsed between a first time and a second time, the certificate being usable by a client system to attestation a location of the client system. In one embodiment, credentials are sent from a border server to a client system.

The present application is suitable for the field of data consistency verification, and provides a versioned consistency verification system and method for language generation, which comprises a knowledge unit generation module for splitting text into knowledge slices and defining semantic vectors; a knowledge unit certificate generation module for giving hash certificates; a versioned certificate storage database for storing block contents, corresponding semantic vectors, block / vector identification codes and hash certificates; an access control module for authorizing and recording knowledge base data access and modification operations; a vector pre-reading storage module for storing corresponding block identification codes of vector data; a question unit generation module for generating question slices, question semantic vectors and question block / vector identification codes; and a retriever for block / vector identification code retrieval. Thus, the present application can solve the problem of security risks in ensuring data authenticity and consistency of existing RAG systems.

The invention relates to the related field of document data engines, in particular to a document data engine method and system, which realizes high-robustness field extraction capability by combining a template engine with an AI model, and adapts to multiple types of unstructured documents; field splitting / combination is intelligent, and manual intervention is reduced. Automatic mapping of standard fields and alignment of platform fields are achieved, the adaptation relation between an industry field standard library and multi-system fields is constructed, and the fields can be directly pushed to multiple service systems from original samples; field data quality and consistency guarantee capability are improved, and output fields are more accurate due to field-level difference comparison and format restoration functions; the AI completion and fuzzy recognition mechanism solves the problem that fields are not covered or uncertain in the traditional recognition technology. The system has four characteristics of standardization, rule driving, model assistance and dynamic updating, and the manual operation intensity and the business risk are remarkably reduced.

The invention provides an intelligent voucher automatic generation method and system based on a multi-modal large model. The method comprises the following steps: firstly, obtaining a voucher generation demand text containing voucher use scene description, core element requirements and text expression specifications; performing demand semantic anchoring processing on the voucher generation demand text, and performing semantic association matching with the voucher basic element library; then carrying out large model generation rule adaptation processing, and adjusting a text generation trigger condition of the multi-modal large model; feature mapping processing is carried out according to the adaptation scheme, and corresponding association between the core elements and the generated feature library is established; and finally, performing intelligent voucher text generation based on the adaptation scheme and the feature mapping association set. According to the invention, the voucher can be generated intelligently, accurately and flexibly, the generation efficiency and quality are improved, and the human error risk is reduced.

The invention discloses a multi-prover zero-knowledge proving method without prover communication, relates to the technical field of multi-prover zero-knowledge proving methods, solves the defect that provers need frequent communication in the multi-prover zero-knowledge proving method in the prior art, and comprises the following steps of: setting an algorithm: inputting a safety parameter lambda and a proposition P to be proved, the verifier outputs N certification keys {EK1,..., EKN} and a verification public key VKF; according to the coding algorithm, a proposition input u to be proved is input, and a verifier outputs a code Iu; according to the certification algorithm, a server index b and a bth certification key EKb are input, a code Iu is input, and a bth server outputs a bth proposition result and a bth certification pi (y, b); the verification algorithm comprises the steps of inputting a verification public key VKF, proposition input u, N proposition results and N certificates {pi (y, b)} (b = 1) N, if verification succeeds, outputting 1, and otherwise, outputting 0. The decentralized cooperation generation proof thoroughly solves the problem of communication dependence.

The invention discloses a test task scheduling method based on phase adaptive context weight representation. The test task scheduling method comprises the following steps: data preprocessing: converting an original test demand into uniform task vector representation; context modeling: performing dynamic coding on different task features through construction of anchor point topology and a self-adaptive weight mechanism; scheduling generation: constructing a task list under the driving of a global phase evolution rule; and the verification feedback is used for carrying out step-by-step verification on the task list through a hierarchical certificate mechanism and realizing feedback correction. According to the method, a weight modeling mechanism driven by context features is introduced, and a scheduling scheme which not only can ensure the performability, but also has the dynamic self-adaptive capability is constructed; performing structured modeling on the key threshold condition based on the anchor point topological graph, and generating a hierarchical feasibility certificate on the basis; layer-by-layer verification and automatic correction of the task list can be realized, and the security, the performability and the resource utilization rate of the finally output daily scheduling list are ensured.

A method of operating a computer system (2) to manage a set of enrolled service enclaves (6a, 6b, 6c, 6d, 6e, 6f) includes enrolling a new service enclave (10) into the set of enrolled service enclaves. An authority service (6b), hosted on a first computing device (4b), receives an identifier (14) of a second computing device (12), which hosts the new service enclave (10). The authority service (6b) uses the identifier (14) to receive, from the second computing device (12), an attestation (16) of software code stored in the new service enclave (10). In response, the authority service (6b) generates a certificate associating the identifier (14) with a public key of the new service enclave (10) and provides the certificate to an already-enrolled service enclave (6a, 6c, 6d, 6e, 6f).

The big data-based supply chain collection optimization method comprises the following steps of: processing steel quality original data by utilizing an edge calculation component to generate standardized quality parameters; the standardized quality parameters are constructed into evidence blocks, and a traceable data structure is formed; summarizing multi-party verification data, executing a multi-party consensus protocol, and generating a quality judgment result; based on the quality judgment result, generating a tamper-proof quality certificate, and constructing a quality trust chain; according to the invention, by introducing the edge calculation and decentration consensus technology, the problems of information asymmetry, strong subjectivity, centralized efficiency bottleneck and the like in the traditional quality inspection process are solved.

The invention relates to the technical field of information and network security, and discloses a certificate capacity planning method based on time sequence prediction, which comprises the following steps: S1, multi-dimensional data acquisition and preprocessing: acquiring multi-dimensional data related to certificate capacity planning, and preprocessing the multi-dimensional data; s2, constructing and training a time sequence prediction model: constructing and training a mixed time sequence prediction model, and predicting the certificate demand quantity in a specific period in the future; s3, capacity planning optimization solution: establishing a multi-objective optimization model to obtain an optimal capacity configuration scheme; and S4, intelligent early warning and decision support: executing intelligent early warning based on the optimal capacity configuration scheme and the real-time monitoring data. According to the method, multiple models are fused, and the advantages of the models in the aspects of capture trend, seasonality, volatility and nonlinear relation are fully exerted; the prediction accuracy can be greatly improved; by establishing the multi-objective optimization model, the cost optimal configuration under the condition of satisfying multiple constraints is realized, and the resource utilization rate is effectively improved.

The application provides a power plant data security processing method, and belongs to the technical field of power Internet of Things security and privacy computing, which can at least partially solve the problems of complex certificate management of power plant monitoring system, large data aggregation calculation overhead and privacy leakage risk of cloud analysis in the prior art. The application comprises: generating a double-factor private key based on a certificateless public key cryptography system; serializing and encoding multi-dimensional operation data into a single integer using the Chinese remainder theorem; performing homomorphic encryption and signature on the encoded data using the double-factor private key, verifying the signature in batches on the edge side and aggregating in the ciphertext state; loading a neural network model adapted to homomorphic encryption on the cloud to perform ciphertext domain reasoning on the aggregated ciphertext; and decrypting the operation state analysis result on the authorized side. The application realizes ciphertext availability of power plant core data while ensuring data transmission integrity and confidentiality, and reduces communication and calculation overhead.

The invention relates to the technical field of chip security management, in particular to a post quantum cryptography chip security management method and system based on multi-party computing clamping. According to the method, post-quantum security disturbance is carried out on the confidential service data of the participants in the controlled environment, and the master key is divided into a plurality of root key seed shares which are dispersedly stored in the independent hardware security modules of the participants, so that single-point failure and key leakage are avoided. And writing the security policy template, the white list domain and the certificate chain hash into a non-fallback register, and establishing a virtual key signature model through fingerprint matching analysis to realize operation self-test. A session key is generated based on Kyber post-quantum decapsulation, session request monitoring is achieved in combination with a volatile memory base station and a hardware audit counter array, and dynamic security management is conducted according to key change abnormity. According to the invention, full-link post-quantum security protection of the cryptographic chip based on multi-party computing is realized, and the security autonomy and trusted computing capability of the cryptographic chip in a complex application environment are improved.

The application discloses a kind of high temperature sensor data exception intelligent diagnosis method and system based on edge computing.The problems that sensor dynamic temperature drift is difficult to compensate and edge side model is easy to fail under complex working conditions, the application: first, collect sensor and temperature sequence and build heat path coding containing thermal hysteresis characteristics;Second, combine baseline compensation and residual compensation network with quantile certificate output head, calculate residual compensation and error certificate width;During operation, according to certificate width, execute two-stage rollback strategy to ensure the safety of output under abnormal working conditions;Finally, generate pseudo-label by detecting constraint events such as statistical stability or physical consistency, update and trust domain limit low-dimensional individual code in residual network, realize online individualization under no true value condition.The application significantly improves the accuracy, engineering safety and production line calibration efficiency of temperature drift compensation under the premise of adapting to the power constraint of edge computing.

This invention discloses a certificate-free cross-domain authentication method in the cloud, comprising deploying key distribution centers in both the CLC domain and the trusted domain and generating system parameters; the user and the cloud service provider (CSP) each applying for partial private keys and combining them with secret values ​​to generate public-key and private-key pairs; the user calculating authentication information and sending an encrypted request; the CSP verifying the user's legitimacy and returning an encrypted response upon successful verification; the user receiving the response message, verifying the synchronized valid sequence number and the CSP; upon successful verification, saving the legitimate provider information, receiving cloud service resources, and establishing a cross-domain trust relationship and session negotiation key. This invention constructs a certificate-free cross-domain authentication method that abandons the complex certificate chain management of traditional PKI; it adopts a signature and signcryption-based primitive, balancing data confidentiality, integrity, and low computational complexity; and through session key negotiation and a local legitimate user list caching mechanism, it avoids duplicate authentication and improves processing efficiency.

The embodiment of the invention discloses a certificate type identification method, which comprises the following steps of: extracting a multi-modal feature of a certificate image to be detected through a pre-trained multi-modal feature extractor as a multi-modal feature to be retrieved, and determining the similarity between the multi-modal feature to be retrieved and each standard multi-modal feature in a feature library; and identifying the certificate type of the certificate image to be detected according to the similarity between the multi-modal feature to be retrieved and each standard multi-modal feature and the certificate type corresponding to each standard multi-modal feature stored in the feature library. Through the method, the standard multi-modal features stored in the feature library are also extracted from the sample certificate images of each certificate type through the multi-modal feature extractor, so that the certificate type identification accuracy can be ensured, on the other hand, a machine learning model does not need to be deployed to identify the certificate type of the certificate image to be detected, and the identification efficiency is improved. The deployment cost can be effectively saved, and the identification efficiency can be improved.

The application discloses a method for realizing code conversion from balance certificate to program in wind tunnel test, which automatically reads the Word balance certificate by using the program, searches the information such as the bridge combination and the coefficient table in the balance certificate, and automatically generates the C language code for balance load calculation according to the balance formula algorithm, so as to be directly used for calculating the load by the data processing program. The method realizes one-key conversion from the balance certificate to the program calling code, solves the problems of low efficiency and high error rate caused by manually inputting the balance formula coefficients, greatly improves the test efficiency, and guarantees the reliability of the calculation result.

The invention relates to the technical field of character recognition, in particular to a certificate OCR optimization method and system based on a self-feedback learning mechanism, and the method comprises the following steps: obtaining a certificate image and positioning a field to form a structure record, comparing the structure to generate a difference path and counting an update state, concluding field position constraints, verifying an abnormality, and carrying out backflow correction. According to the method, unified collection and structured expression are carried out on geometric attributes and sequences of fields in an identification process, differences are combined according to paths and counted according to frequencies, so that format changes have confirmable and precipitable evolution states, and stable spatial constraints are formed by carrying out statistical induction on field position relations of samples of the same type of structures. The method is used for verifying the consistency of the current identification result, and when the spatial relationship is abnormal, the difference is returned and the structure record is continuously corrected, so that the structure information is adaptively updated under the driving of real data, and the stability, expansibility and abnormity identification capability of multi-specification certificate processing are improved.