480 results about "Integrity check" patented technology

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 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.

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 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.

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 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 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 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.

The invention discloses a lightweight identity authentication and data security interaction method, system, equipment and medium for a protection measurement and control device, and relates to the technical field of power system information security. The method comprises the steps that the protection measurement and control device and an edge gateway carry out bidirectional identity authentication based on a preset shared master key and random numbers generated by the protection measurement and control device and the edge gateway; after the authentication succeeds, the two parties derive a session key of the communication based on the random number; between the protection measurement and control device and the edge gateway, service data is encrypted by using a session key, an integrity check code is generated, and a security data message is constructed for transmission; the receiver performs integrity verification and decryption on the security data message to obtain plaintext data; and receiving a key updating instruction from the cloud based on the secure channel, and performing secure updating on a preset shared master key. According to the invention, a mechanism of combining the pre-shared master key with the dynamic session key is adopted, so that the complex certificate chain verification overhead of a PKI system is avoided.

The invention relates to a dual-backup starting and integrity verification method and system for a vehicle-mounted bus, and relates to the technical field of automobile instrument programs, and the method comprises the following steps: collecting a vehicle software list; determining a new firmware update package according to the vehicle software list; downloading the new firmware update package to a preset update backup area and performing integrity verification; if the integrity verification is passed, controlling a guide pointer in a preset guide program area to point and switch to an update backup area from a preset current operation area; loading and updating the backup area, starting the backup area, and executing a preset self-checking scheme to collect starting result information; and determining an updating ending scheme according to the starting result information, and executing the updating ending scheme. The method has the advantages that the failure rate caused when the automobile instrument program is updated is reduced, and the automobile is convenient to use.

The invention discloses an information security data processing method based on biological characteristics and quantum enhancement, and belongs to the technical field of network and information security. Comprising the steps of collecting and preprocessing multi-dimensional biological characteristic data of a user; generating a dynamic correlation factor through weighted coupling calculation; a dynamic encryption key is generated through nonlinear coupling in combination with the quantum random number sequence; evaluating the environmental safety of the terminal by using a cognitive environmental credibility verification model; if the environment is credible, configuring a chaotic encryption parameter based on a dynamic key to encrypt target data and generate an integrity check code; and the receiving end generates a key through the same process and completes decryption and integrity verification. According to the method, the dynamic generation and'one-time pad 'of the secret key are realized, the secret key does not need to be stored, and a'biology-quantum-environment' three-in-one safety protection system is constructed by combining biological characteristic uniqueness, quantum randomness and environment credibility verification, so that the anti-cracking capability of data encryption and the adaptability of a terminal environment are effectively improved.

The invention discloses a software development cloud computing system with a big data processing module, which relates to the technical field of computer systems and data processing, and comprises a development input acquisition module used for receiving source code data, construction script data, dependency declaration data, configuration file data and development environment description data, and respectively executing integrity verification, structure analysis, dependency analysis, parameter extraction and environmental element analysis processing to form a standardized development input data set. According to the method, unified feature abstracting and aggregation are carried out on source codes, construction scripts, dependency declarations, configuration parameters and development environment elements, version fingerprint data capable of stably representing the software version state is formed, the strict degree of analysis, verification and influence analysis is remarkably enhanced in a high-difference version scene, and the software version state can be stably represented. Therefore, the problems of misjudgment, missed judgment or resource waste caused by adoption of a fixed threshold value or manual parameter configuration in the prior art are avoided.

A method for checking end-to-end SBI message integrity includes receiving a first traffic feed from a first NF, the first traffic feed including copies of SBI messages transmitted from the first NF to an SCP. The method further includes receiving a second traffic feed from a second NF, the second traffic feed including copies of SBI messages received by the second NF from the SCP. The method further includes identifying, from the first traffic feed, a copy of a first SBI message transmitted by the first NF to the SCP. The method further includes identifying, from the second traffic feed, a copy of a second SBI message received by the second NF from the SCP and that is associated with the copy of the first SBI message. The method further includes performing, using the message copies, an end-to-end SBI message integrity check for the first SBI message.

According to the novel transponder device and the method and device for achieving multiple functions through power line carrier communication, multiple functions such as train positioning and speed measurement, station track occupation recognition, train occupation and integrity check and train-ground communication are achieved through the novel transponder device and the power line carrier communication, and wireless communication technologies such as the power line carrier communication are integrated; the method can be applied to train operation control, train-ground coordination action, locomotive vehicle information management, unmanned stations and train state monitoring in various scenes, can simplify the types of equipment, reduces the construction cost and the maintenance workload, and improves the transportation efficiency and safety at the same time.

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 provides an electric power metering network security protection system and an electric quantity acquisition data encryption transmission protocol used by the same. The system comprises a metering terminal, an edge gateway and a master station platform. The metering terminal is integrated with a domestic commercial password chip, adopts a three-level safety start chain and a data disturbance encryption mechanism, and has the functions of side channel protection and physical disassembly detection; the edge gateway constructs a multi-channel SM4 encryption assembly line based on the FPGA to realize encryption relay and data caching; the master station platform supports high-concurrency encryption session management, dynamic key updating and LSTM model driven abnormal traffic detection. The matched data encryption communication protocol is based on a state machine model and comprises the stages of time synchronization, key exchange, data transmission, integrity verification and the like. The system has high security, high real-time performance and strong environment adaptability, and is suitable for security access scenes of various power terminals such as intelligent electric meters, concentrators, micro-grid metering and the like.

The invention discloses a sensitive information secure transmission system, which comprises an information sending end and an information receiving end, and is characterized in that after receiving an original image and sensitive information, the information sending end generates a secret-containing carrier image through multi-scale frequency domain decomposition, sensitive information encryption scattering embedding, wavelet inverse transformation reconstruction and dual-channel processing architecture processing and sends the secret-containing carrier image; and the information receiving end extracts the encrypted sensitive information after receiving the encrypted carrier image, and analyzes and outputs the sensitive information after three-level integrity verification. According to the system, the defects of limited information hiding capacity, weak anti-interference capability, unreliable integrity detection and difficulty in self-adaption of an embedding strategy in the prior art can be overcome, high-density embedding of sensitive information, strong anti-interference performance, complete protection and self-adaption of the embedding strategy are realized, and visual concealment, image quality and transmission safety are balanced.

Webpage integrity is monitored using hash verification. A hash verification process is implemented to detect unauthorized changes to value field(s) in a webpage's source code and, while the user is conducting an active web session on the webpage, an alert, which may be communicated via the webpage, is generated and communicated to a user in response to determining that there was an unauthorized change.

A computer-implemented method in a hardware-secured mission-critical system governs text outputs produced by a transformer-based language model. A first transformer-based model generates candidate text and machine-identified propositions. A timing subsystem synchronized to PTP, GPS, or IMU clocks timestamps propositions and retrieved reports, logs, and sensor products, and admits only evidence within a configured skew window. Each proposition is segmented into semantic units under a constrained domain grammar that distinguishes subjects, predicates, modifiers, and domain-specific clauses. A second, architecturally isolated transformer-based model receives adversarial prompts built from propositions and summaries of admitted evidence and outputs structured challenge records with challenge types and severities. From evidence associations and challenge records the system constructs a semantic support mask and generates a conservative rewrite that preserves, in order, only tokens mapped to units that satisfy governance thresholds, introduces no new tokens, and passes a grammar-based integrity check before release as governed text output.