608 results about "Integrity check" patented technology

The invention provides a water conservancy industry electronic dark bidding document enterprise internal examination method and system based on artificial intelligence, and belongs to the field of water conservancy industry bidding. Performing automatic pre-auditing on the bidding file: performing compliance inspection and integrity inspection, identifying problems existing in the bidding file, and providing improvement suggestions to ensure that the problems conform to the basic requirements of electronic dark label review; carrying out data standardization and cleaning on the bidding file: carrying out semantic extension and ambiguity elimination, identifying images, tables and handwritten contents in the bidding file, identifying a main body structure of the water conservancy design drawing, extracting engineering quantity list data, and carrying out compliance verification; identifying an abnormal behavior in the bidding file through a machine learning model; and an internal examination decision tree is constructed according to preset key indexes and score weights of the water conservancy project, an interpretable artificial intelligence algorithm is utilized to carry out internal examination decision making on the bidding document, an internal examination score result is fed back, and specific score deduction reasons are explained. And the standardization and the accuracy of internal examination of the bidding document are improved.

Systems and methods for securing agent communications in a multi-agent system including deploying an agent to communicate with external servers, instantiating a sidecar security service in communication with the agent and including at least one of a guardrails service, a security layer, an encryption module, and an integrity checker configured to validate resources tools using hash-based verification mechanisms. Communications including messages between the primary and the external servers are intercepted by the sidecar security service, which then performs at least one of filtering the one or more messages by the guardrails service, authenticating one or more server connections by the security layer, encrypting one or more outbound requests by the encryption module, or verifying an integrity of resources and tool definitions by the integrity checker.

The invention relates to an alliance chain-based energy data sharing method and device, and a medium, and the method comprises the steps: collecting and preprocessing energy data based on a TEE, encrypting the data in the TEE, uploading the data to an IPFS, generating a hash value, and binding a data owner identifier; when the verification request is responded, integrity verification, numerical value verification and other operations are executed, and an encryption result is generated and returned to the demand side. After verification is passed, copyright information is embedded according to a data type matching watermarking algorithm, the IPFS is re-encrypted and uploaded, and a shared hash value is obtained. And storing the hash value and the decryption key into the block chain through the consensus node of the alliance chain, and transmitting the hash value and the decryption key to the demand side. And after the demand side decrypts and obtains the data, extracting the watermark and comparing the watermark with the on-chain parameters for verification. According to the method, sharing and verification of the data in an encryption state are ensured, privacy protection and use controllability are considered, and the problems of data leakage, tampering and ownership tracing in traditional sharing are solved.

The invention discloses a communication method of vehicle-mounted TBOX equipment, which relates to the technical field of equipment communication and comprises the following steps of: initializing a communication module of the vehicle-mounted TBOX equipment; performing channel selection by using a communication module to obtain channel information; performing spectrum allocation according to the channel information to obtain spectrum information; performing data encryption transmission according to the frequency spectrum information to obtain encrypted data; performing integrity verification on the encrypted data to obtain complete data; performing network load prediction according to the complete data to obtain a prediction result; adjusting the bandwidth according to the prediction result to obtain bandwidth data; and performing data packet priority management according to the bandwidth data. According to the method, the prediction accuracy and the overall communication efficiency are improved, the data transmission sequence can be flexibly adjusted according to the real-time network environment, the transmission reliability of key data is improved, and the risk of important information loss or delay caused by sudden network congestion is reduced.

The invention discloses a business data quality treatment method supporting system hidden danger identification, and relates to the technical field of computer information processing, and the method comprises the steps: S1, collecting a real-time batch tracking data stream from an enterprise inventory system through a multi-source data interface, and obtaining an initial data set containing inconsistent formats and missing batch numbers; s2, scanning a data stream according to the initial data set by applying a preset automatic detection rule, judging positions and types of abnormal points by utilizing a rule matching mode and a threshold comparison mechanism to obtain an abnormal point set, and activating a real-time stream analyzer to process field complete verification to generate an abnormal log record; according to the business data quality treatment method supporting system hidden danger identification, real-time and accurate anomaly detection and repair are realized, the consistency and reliability of inventory data are improved, and the enterprise inventory management efficiency is remarkably optimized.

The invention relates to an intelligent medical record generation and quality control method and system based on a large model, belongs to the technical field of medical information and artificial intelligence, and solves the problems of low writing efficiency and non-uniform quality of medical records in the prior art. Comprising the following steps: constructing a medical field knowledge enhancement large model which has the capabilities of intention recognition, medical record generation, term standardization check, format integrity check, information extraction and logic consistency check; when input information of a to-be-generated medical record is received, generating a complete medical record through intention recognition and medical record generation capability of the medical field knowledge enhancement large model and the constructed medical record template library and medical database; and when a medical record to be subjected to quality control is received, quality control suggestions are generated through the capabilities of term standardization check, format integrity check, information extraction and logic consistency check of the medical field knowledge enhancement large model and the constructed medical knowledge graph. And efficient generation and quality control of the medical record are realized.

The present invention provides an autonomous computing system for cryptographic asset tokenization, digital currency operations, redemption, detokenization, and full lifecycle management of tokenized assets. The system leverages formal cryptographic proofs, hybrid off-chain and on-chain ledger synchronization, and automated execution protocols to enhance regulatory compliance, asset-backed stability, and operational autonomy. Smart contracts, cryptographic hash-based commitments, and distributed validation mechanisms ensure secure, verifiable, and tamper-resistant transactions across decentralized, centralized, and hybrid environments. The system governs the entire token lifecycle by intrinsically linking asset state validation to both on-chain and off-chain records. Hardware-agnostic cryptographic processing enforces governance rules, validates asset-backed token states, and prevents over-issuance. Real-time integrity checks and automated reconciliation deliver a scalable, cryptographically secured framework for autonomous management of tokenized assets and digital currency transactions, minimizing reliance on intermediaries.

The embodiment of the invention relates to the technical field of information, and discloses an intelligent multi-source data quality evaluation and verification method and device, a medium and a product, and the method comprises the steps: converting intelligent multi-source data into standardized format data; performing quality evaluation on the standardized format data, wherein the quality evaluation comprises at least one of integrity check, availability check and consistency check; loading a robot URDF model corresponding to the standardized format data, driving the URDF model to move according to joint data, and synchronously playing corresponding visual data for realizing linkage playback of model actions and visual pictures; analyzing linkage playback through the first large model and / or the second large model; wherein the first large model is used for judging the physical safety of the robot action, and the second large model is used for judging the high-level semantic correctness of the robot action and task annotation, so that a high-quality and reliable self-service intelligent data set is constructed.

According to an embodiment, a method includes adjusting a reference generator into a first configuration based on a temporary trim value resulting, in a first reference voltage and a first reference current being generated for a first memory. The method further includes performing an integrity check on an initial set of data downloaded from the first memory based on the first reference voltage and the first reference current. The initial set of data includes a first trim value. The method further includes downloading contents from the first memory into a second memory in response to a successful integrity check after adjusting the reference generator into a second configuration. In the second configuration, the reference generator generates a second reference voltage and a second reference current for the first memory. The reference generator is adjusted by the first trim value in response to a successful integrity check.

The invention discloses a large file concurrent uploading method and system based on a dynamic fragmentation strategy and resource optimization, and the method comprises the steps: a client generates a file fingerprint according to the file size of a large file and metadata, and dynamically calculates the fragmentation size of the large file; the client carries out fragment cutting on the large file according to the calculated fragment size, establishes a concurrent uploading queue and uploads a plurality of fragments to a server side in parallel; the server selects an optimal storage node to store each fragment based on a consistent hash ring and a multi-dimensional weight model; the client side and the server side track a fragment uploading state through a fragment serial number and a cyclic redundancy check (CRC) value, and after all fragments are uploaded, integrity check and logic recombination are carried out; and when network interruption or uploading failure is detected, the client side and the server side execute an intelligent retry strategy or a splitting rescheduling strategy of breakpoint resume and failure fragmentation.

The invention discloses an education courseware generation method based on deep learning. The method comprises the following steps: S1, generating a standardized teaching document set; s2, obtaining a teaching element set; s3, outputting a slide sequence first draft, a sparse expert activation strategy first draft and a format parameter vector first draft; s4, obtaining an optimized sparse expert activation strategy, an optimized format parameter vector and an optimized slide sequence; s5, obtaining a structured PPT draft; s6, performing teaching structure integrity verification and visual hierarchy consistency verification on the structured PPT draft, if the verification is not passed, converting a verification result into a fitness penalty signal, feeding back the fitness penalty signal to the pigeon flock optimization algorithm, and returning to the step S4; and if the verification is passed, outputting a structured PPT final draft. The method ensures that the finally output structured PPT has uniformity and teaching performance in expression logic, page layout and visual style, and the manual adjustment workload of teachers is greatly reduced.

The Somatic Artificial Intelligence Data Systems (SAIDS) invention provides a method, system and apparatus for user-controlled data curation, privacy, and monetization. Leveraging a Generative Artificial Intelligence Agent (GAIA), SAIDS enables the collection and real-time processing of multimodal data, including biometric and environmental inputs, through wearable or standalone devices. GAIA anonymizes data, detects unauthorized use via integrity checks, and supports user decisions to either opt-in for economic benefits through data sharing or opt-out for enhanced privacy. This system democratizes data ownership by empowering users to retain control and derive value from their personal data in a privacy-preserving manner.

The invention discloses a homomorphic encryption-based cross-industry health insurance data sharing and privacy protection method, and relates to the technical field of health insurance data security, and the method specifically comprises the steps: standardizing medical and insurance industry core data, quantifying key indexes such as a disease clinical risk value and an occupational basic risk coefficient, achieving the format unification of cross-industry data, and achieving the privacy protection of the cross-industry data; further generating ownership, risk and business labels, carrying out encryption processing on data through homomorphic encryption on the risk labels based on three scenes of data sensitivity and business influence grading, business label binding pricing, underwriting and claim settlement prediction, adding an integrity check code to high-risk data, screening ciphertexts based on the labels, and then executing fusion calculation; the comprehensive risk adjustment coefficient ciphertext is generated, the data integrity is verified, the comprehensive risk adjustment coefficient is obtained after collaborative decryption, the comprehensive risk adjustment coefficient is applied to premium pricing, underwriting conclusion generation and claim risk pre-judgment, and the scientificity and accuracy of health insurance pricing and underwriting decision making are improved.

Systems and methods leverage a multi-stage artificial-intelligence pipeline to convert raw point-of-sale data into bank-grade digital receipts. A convolutional-OCR front end extracts line-item text, which a bidirectional-LSTM classifier normalises and categorises in real time, learning continuously from user feedback. A graph-based anomaly detector flags suspicious spend patterns, while a recommender sub-engine delivers personalised rewards and sustainability insights by fusing purchase context with external carbon-intensity data. The enriched receipt is cryptographically hashed, streamed through an encrypted gateway, and auto-matched to the corresponding payment entry inside the banking core. By driving extraction, classification, enrichment and integrity checks entirely through AI, the system eliminates manual mapping and enables immediate, tamper-evident reconciliation across heterogeneous merchants and payment rails.

The present invention is a system and method to help with resolving the pervasive issue of unauthorized external service accounts and subscriptions created by employees within an organization. The present invention seeks to provide users with a system that strategically analyzes organizational email communications, which serve as a rich data source for identifying unauthorized external accounts and services. The system accesses each email account under an organizational domain, wherein each email is cleared of unnecessary content. Additionally, an LLM analysis performs various cross checks, and an AI integrity check verifies all LLM responses. Finally, the system and method documents and report all findings to the organization.

The invention discloses a multi-model intelligent management scheduling method and system. The method comprises the following steps: receiving a to-be-registered model and corresponding metadata, and executing integrity check to generate an integrity check result; generating a model identifier for the to-be-registered model according to an integrity check result, and storing the model identifier into a model storage warehouse; receiving a deployment request, and extracting a target model file and target metadata according to the deployment request; selecting a target computing node according to the target metadata; configuring a running environment according to a deployment environment requirement, and combining the target model file with the running environment to obtain a container mirror image; creating a containerized operation instance based on the container mirror image, and configuring a network access endpoint; predicting the page view of the network access endpoint to obtain predicted page view data; and adjusting the number of the containerized operation instances according to the predicted page view data and the system resource use data. By implementing the technical scheme, the problems of hysteresis and lack of perspectiveness of resource adjustment based on a real-time system load are solved.

A user equipment receives a first message for initial Access Stratum (AS) security activation via a higher layer protocol, wherein the first message includes configuration information for security in a lower layer protocol and the first message is included in a second message of the lower layer protocol. In response to receiving the first message, the UE derives an integrity key for the lower layer protocol based on the configuration information, and it performs an integrity check on the second message based on the derived integrity key.

The invention is suitable for the technical field of information security, and provides an Android APP multi-tamper-proofing method, which comprises the following steps: acquiring a dex file of an APP, and encrypting the dex file by adopting a reinforcement algorithm to generate a dex reinforced file; a signature obfuscation algorithm is adopted, obfuscation code segments are embedded in the dex reinforcement file, and a signature verification module is generated; carrying out encryption processing on the resource file of the APP by adopting an encryption storage algorithm to generate a resource encryption file; when the APP is started, secondary integrity detection is carried out on the APP based on the signature verification module; if the integrity of the APP is not destroyed, loading the resource encryption file, and carrying out decryption operation on the resource encryption file; and after the decryption operation, the key business logic code segment is verified in the APP operation process through the operation verification method, the tampering and attack resisting capability of the APP is effectively improved, and therefore the safety and integrity of the APP are protected.

The invention provides a data compliance migration method which comprises the following steps: acquiring data protection regulation change information through a regulation monitoring module, extracting key terms and geographic position parameters, and generating a compliance parameter set; triggering data classification identification according to the regulation change information, analyzing content features and sensitive levels of stored data, and determining risk classification of data blocks; distributing the data blocks to different transmission queues according to the risk classification, and generating a data migration task list; dynamically scheduling a data migration time window and a transmission quantity according to the risk classification and the optimal migration path; starting a parallel data transmission process, and executing a data migration operation; carrying out integrity check on the transmission data through a check algorithm, and confirming a transmission state; and the monitoring module is used for detecting service response time in the migration process and adjusting the migration progress and the switching opportunity.

The invention belongs to the technical field of data security, and provides a data transmission encryption method and system. The method comprises the following steps: analyzing a hard disk data transmission request to obtain a transmission identifier, calculating a time sensitivity coefficient and determining a transmission priority; determining a key fusion tree and a hybrid encryption key based on the coefficients and the priorities; performing block processing on the data transmission object; matching and encrypting the data block and the encryption key, and calculating an integrity check value; and adjusting the key according to the change of the time sensitivity coefficient and regenerating a verification value to form a transmission log. According to the invention, the data transmission security and efficiency are improved, and the data integrity verification capability is enhanced.

The invention provides a block chain-based second-hand vehicle detection evaluation report traceability method and system, and relates to the technical field of traceability detection, and the method comprises the following steps: detecting a second-hand vehicle to obtain structured report data, the structured report data comprising a plurality of pieces of traceability information and a plurality of pieces of feature information; performing encryption processing on the structured data to generate a first verification code and a feature information set integrity check code, and generating a second verification code for each type of traceability information; storing the structured report data in a distributed storage system, and obtaining a global content addressing identifier of the structured report data in the distributed storage system; organizing the multiple key data according to a predefined sequence and format, calculating abstract fingerprints, and writing the abstract fingerprints, the structured report abstract and the multiple verification codes into blocks of the block chain; and performing traceability verification in the second-hand car exit transaction. The method has the advantages of high reliability and capability of ensuring that detection report data is real, complete and traceable.

The invention discloses a message processing method and device and electronic equipment. The method comprises the steps that a message processing template is generated based on object information and service information, and the object information is attribute information of an object for message transmission; the template content of the message processing template is verified multiple times, a first verification result of the message processing template is obtained, multiple times of verification comprise integrity verification and safety verification, the integrity verification is used for verifying whether the message processing template comprises service information or not, and the safety verification is used for verifying whether transmission of the message processing template is safe or not; generating a target message based on a message processing template and a preset generation rule under the condition that the first verification result is successful verification; performing accuracy verification on the target message to obtain a second verification result of the target message; and processing the target message based on the second verification result. According to the invention, the technical problem of low message processing efficiency in related technologies is solved.

The invention discloses a high-capacity file encryption method and system based on block processing. According to the method, a high-capacity file is read and encrypted in blocks according to the fixed size, the situation that the high-capacity file is wholly loaded to a memory is avoided, memory occupation is reduced, and efficient encryption is achieved; two symmetric encryption algorithms of SM4 and AES are supported, and the corresponding algorithm is automatically identified and called during decryption by embedding an algorithm identifier in an encrypted file; and generating a check code for the encrypted file by using SM3 for integrity check before decryption. A file path coding mode irrelevant to a platform is adopted, a Unicode path is supported, and mainstream operating systems such as Windows and Linux can be compatible; and meanwhile, a buffer area and a multi-thread mechanism are introduced, so that file I / O operation and encryption calculation are executed in parallel, and the encryption efficiency is improved by utilizing the advantages of a multi-core processor. According to the method, the problems of high memory occupation, inconvenience in algorithm switching, poor cross-platform compatibility and low encryption efficiency of high-capacity file encryption are solved, and the method has a wide application prospect.

The invention provides an automatic testing method and system for AI vision, and is applied to the field of software UI automatic testing. According to the method, mobile terminal UI automatic test requirements are processed based on a visual processing model and a large language model, a JSON format test case is generated, and a YAML format test case for system execution and an XMIND format test case for test personnel to check and edit are generated after conversion and integrity check; the test equipment information is processed based on Appium service and WebDriver, and equipment interface screenshot information is obtained; processing the equipment interface screenshot and the element description information based on a visual processing model to generate element relative coordinates, and generating an operation result through coordinate conversion and operation processing; performing screenshot verification processing on the operation result to generate a test result record; and processing the test result record, the test case in the YAML format and the test case in the XMIND format to generate test report information.

The invention discloses a SaaS financial software artificial intelligence voucher auditing method based on an expert database, and relates to the field of voucher auditing, and the method comprises the steps: receiving to-be-audited financial voucher data uploaded by a user through SaaS financial software; integrity verification and logic conflict detection are performed on the structured data, text information in the unstructured data is extracted, and authenticity feature identification is performed on the bill image; constructing a uniform feature vector; obtaining an auditing rule set, calculating a matching degree between the feature vector and the auditing rule set, and outputting an initial auditing confidence coefficient; if the confidence coefficient is higher than a preset threshold value, adopting, and if the confidence coefficient is lower than the preset threshold value, triggering multiple rounds of iterative verification; and updating the expert database, and returning a structured auditing result to the client through the API gateway. The method has the advantages that the AI technology and the expert database are integrated, efficient and accurate financial voucher auditing is achieved, the rules are dynamically updated, manual intervention is reduced, and automation and applicability are improved.

The invention relates to the technical field of pipeline inspection data transmission, and discloses a task linkage control inspection track local storage synchronization system, which comprises a channel transmission blocking self-adaptive regulation and control module, a task linkage control module and a task linkage control module, the task logic segmentation and delimitation module injects a service segmentation delimiter into an original data stream to establish a logic mapping boundary; according to the method, a dynamic mapping mechanism of a channel physical state and a service logic boundary is established, so that the problem of integrity verification of data synchronization in a low-bandwidth product environment is effectively solved; and while the communication signaling overhead is reduced, the space-time consistency and the traceability of the patrol track data are ensured.

The invention discloses a public institution energy consumption missing data estimation method based on an improved BPNN. The method comprises the steps that public institution energy consumption multi-feature data are acquired and preprocessed; performing feature screening; integrity check is carried out, and missing data and complete data are separated; constructing a missing data estimation model based on a BP neural network according to the complete data, performing network structure optimization by adopting a particle swarm optimization algorithm, and optimizing an initial weight threshold by adopting an enhanced chaos sparrow search algorithm; training the missing data estimation model; and inputting the missing data into a trained missing data estimation model, and estimating the missing value of the number of energy users. According to the method, the BP neural network architecture is constructed by fusing the particle swarm and the chaos sparrow collaborative optimization mechanism, reasonable estimation of the missing value of the number of energy users of the public institutions is realized, the limitation of a traditional optimization method is broken through, and the method has remarkable advantages in the aspects of parameter space search efficiency and global optimization ability.

The invention discloses intelligent communication equipment and a communication method based on tunnel encryption, and relates to the field of communication technology and information security. According to the method, the tunnel encryption technology is adapted and optimized through hardware performance and network environment detection of intelligent communication equipment; managing a session key based on multi-factor identity authentication and a distributed key; encrypting transmission data, packaging the encrypted transmission data into an encryption tunnel for transmission, and synchronously carrying out integrity verification; monitoring network flow in real time, identifying abnormal behaviors through a machine learning model, and triggering safety early warning; encryption parameters are dynamically adjusted to balance security and device performance. The corresponding intelligent communication equipment comprises a hardware unit and a software unit. According to the method, the problems that traditional tunnel encryption is poor in adaptability on intelligent equipment, high in key management risk and difficult to balance performance and safety are solved, safe, efficient and self-adaptive intelligent communication is achieved, and the method is suitable for encryption communication scenes of various intelligent terminals.

The invention discloses a style and style aligned DOCX format document translation system, which comprises the following steps of: analyzing a DOCX format document through a document analysis tool to obtain an XML format text; each Paragraph object style label in the XML format text is simplified; the simplified XML format text is sent into a large language model to obtain a translation XML format text; carrying out XML label integrity verification on each XML format text of the translation; if the verification result meets the integrity requirement, original style tags are restored according to the corresponding sequence of the text in the XML format of the translation; and generating the reduced text in the XML format of the translation into a document in the DOCX format of the translation through a document analysis tool. According to the method, the problem of balance between format fidelity and translation quality in professional document translation is effectively solved, the pattern alignment accuracy and translation efficiency are remarkably improved, and the method is particularly suitable for professional document translation scenes, such as legal contracts and technical manuals, in which formats need to be strictly reserved.

The invention provides a method for extracting asynchronous paths and constraints based on a comprehensive netlist in chip design. The method comprises the following steps: S1, reading the comprehensive netlist and sdc by using a prime tool; the invention provides a method for extracting asynchronous paths and constraints based on a comprehensive netlist in chip design, and the method comprises the steps: extracting all asynchronous paths of a chip according to the comprehensive netlist and an sdc file, carrying out the integrity check of the asynchronous paths, recognizing the asynchronous paths which are not subjected to cross-clock processing, and generating asynchronous constraints. All asynchronous paths in a chip can be rapidly extracted, the integrity of asynchronous design can be checked, whether asynchronous design calls a cross-clock universal module or not is checked, the asynchronous paths which do not call a common cross-clock module are printed out, developers are prompted to carry out corresponding modification, asynchronous constraints can be directly output, and the development efficiency is improved. The time cost of developers is greatly reduced, the iteration speed is high, and the project progress is not affected.