215 results about "Compliance check" patented technology

A system for improving employee engagement and automating the integration of business processes. The system includes: a user interaction module configured to receive multimodal inputs, including natural language text and voice requests from employees via enterprise portals, mobile applications, voice-activated devices, and collaboration platforms, and to generate real-time responses via conversational output channels; a context processor that is operationally coupled with the user interaction module, wherein the context processor stores the interaction history, employee preferences, organizational role metadata, and task results in both short-term and long-term memory and dynamically derives context for controlling responses and initiating workflows; A natural language and intent processor that is communicatively linked to the context processor. The intent engine consists of large language models trained on company-specific lexicons to perform intent detection, entity extraction, ambiguity resolution, and sentiment or urgency classification from employee queries; a workflow orchestration layer in communication with the intent engine and the context processor, wherein the workflow orchestration layer includes a rule-based and AI-powered process execution engine configured to automatically initiate, route, and complete cross-functional business tasks, including approvals, escalations, and compliance checks, with workflows defined using modular templates that include conditional logic and time-based triggers; Webhooks and authentication protocols provide secure interoperability between the workflow orchestration layer and external enterprise platforms; a feedback and learning module that is operationally coupled with the workflow orchestration layer and the natural language understanding engine, wherein the feedback and learning module is configured to analyze task completion rates, response accuracy, latency metrics, and user feedback signals, and to retrain underlying language and workflow models for adaptive improvement in real time; and an administration console with role-based access controls, compliance dashboards, audit trails and interfaces for workflow configuration, whereby the administration console enables authorized personnel to monitor system operations, adjust interaction rules and enforce data protection restrictions across departments.

The invention discloses a medical health question and answer method and device based on an intelligent agent and a medium, and relates to the technical field of artificial intelligence medical question and answer, and the method comprises the steps: receiving an intention analysis report through a master control intelligent agent, accessing a dynamic dialogue context pool, and generating an intelligent agent cooperation instruction according to the state of the intention analysis report and the state of the dynamic dialogue context pool; performing credibility evaluation on the preliminary medical answer report by using a credibility calibration agent, generating a confidence score and an evidence conflict level, and performing multi-dimensional weighted fusion and risk mode recognition by using a dynamic risk evaluation strategy to generate a diversified disposal instruction; and when the diversified treatment instruction is issuing permission, performing safety compliance check on the preliminary medical answer report to generate compliance medical answers. According to the invention, multi-dimensional control of credibility and security of medical answers is realized, and finally the beneficial effects of providing personalized medical questions and answers and ensuring that information is real, reliable, compliant and safe are achieved.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a multi-modal content compliance auditing method, device, equipment and medium, and the method comprises the steps: receiving a multi-modal content set, and generating to-be-audited content; converting the multi-source content into unified semantic representation through an analysis unit; calling the judgment model based on the auditing strategy library and the configured auditing engine to perform semantic comparison, and generating an auditing processing result; outputting an abnormal level result according to the processing result; a rectification suggestion is generated and pushed based on the abnormal level result, and feedback data is received at the same time; recording feedback data and auditing tracking records, and generating a compliance data view and an auditing conclusion; and updating the auditing strategy library and the configured auditing engine according to the feedback data. According to the method, cross-modal check is realized through unified semantic representation, the check flexibility is improved in combination with a strategy library and a configuration engine, rectification and feedback are driven by using an abnormal level result, and the accuracy and efficiency of compliance check are improved.

According to the method, multi-modal data such as voice, images, texts, GIS and Internet of Things sensing are fused, and deep neural network prediction, reinforcement learning scheduling optimization and rule engine compliance check are combined; the intelligent vehicle and material dispatching method and system are applied to multiple scenes such as emergency material storage depots, fire-fighting emergency command, urban disaster response, traffic accidents and medical first aid. The system is interconnected and intercommunicated with an intelligent emergency material storage cloud platform, a city brain, Beidou navigation, intelligent fire fighting and other external platforms, and supports one-key issuing, path optimization, traffic signal linkage and whole-course return closed loop. Compared with the prior art, the method has the advantages that unification of multi-modal situation awareness, data-driven optimal scheduling and expert knowledge constraints is realized, the response time is remarkably shortened, the resource utilization rate is improved, and compliance safety is ensured.

Orchestration solutions for agentic automation for artificial intelligence (AI) agents, robotic process automation (RPA) robots, agentic orchestration processes (AOPs), and humans-in-the-loop with self-healing and capabilities to increase autonomy. Agentic orchestration, via a conductor application, enables the automation, modeling, and monitoring of complex business processes from start to finish. A user or an initiating software process requests that a given AOP be run. The AOP defines a business process (e.g., in Business Process Model and Notation (BPMN)), and may utilize one or more RPA robots, one or more AI agents, and / or one or more humans to assist with accomplishing this process, such as resolving invoice discrepancies, onboarding an employee, performing compliance checks, synchronizing order data among multiple backend systems, etc.

The embodiments disclose a cryptographically governed system for contextual memory management in artificial intelligence including a Contextual Orchestration and Scoped Memory Protocol (COSMP) and a Decentralized Memory Wallet (DMW), which enforce secure, auditable, and policy-driven access to AI memory. Traditional token-based memory tracking is replaced by memory capsules secure data units with embedded access policies and tamper-evident logs 5400 organized via a distributed ledger. Access control is managed through decentralized identifiers (DIDs) and private cryptographic keys, ensuring that all memory interactions are signed, verifiable transactions. This architecture establishes a universal trust layer for AI, enabling post-hoc compliance checks and privacy-preserving audits. Applicable across domains such as national security, healthcare, and autonomous systems, the invention enforces rigorous behavioral constraints and access governance within AI memory and decision-making processes.

The invention discloses a bank system research and development project management system, and the system comprises an intelligent management platform which generates a compliance check list and a difference report through the real-time butt joint of a supervision database; the risk prediction module is used for predicting risk levels such as research and development cycle delay and resource hyperbranched, triggering early warning and suggesting a deployment scheme; the block chain evidence storage and tracing module is used for storing the hash value and the operation record of the key node document in a chaining manner, and solidifying a timestamp and a person in charge; the task collaboration module is used for analyzing a demand document by using NLP, automatically disassembling the demand document into an executable task tree, analyzing manpower and equipment conflicts through a resource occupation graph, and intelligently generating a deployment scheme; and the security control module is used for implementing hierarchical authority based on role and data sensitivity, and sensitive operation needs dual verification of biometric authentication and dynamic token to prevent unauthorized access. The system is high in risk resistance, high in overall research and development efficiency and fast in data management and auditing, and can meet the requirements in the research and development process of a bank system.

The invention discloses a static database self-adaptive fuzzification desensitization implementation method for highly sensitive data in the power industry. The method comprises the following steps: a data preprocessing module, a sensitivity analysis module, a fuzzification algorithm module, a self-adaptive mechanism module and an effect evaluation and verification module. Compared with the prior art, the method has the advantages that 1, self-adaptive dynamic adjustment is performed: a desensitization strategy is automatically optimized according to data characteristics and use scenes, and privacy protection indexes (such as k-anonymity values) are improved by 30%-50%; 2, multi-dimensional balance: the information loss rate is reduced by 10%-20%, the query accuracy is improved by 5%-10%, and safety and service requirements are considered; 3, system expansibility: a plug-in architecture supports dynamic loading of new algorithms and rules, and a configuration management module realizes strategy real-time adjustment; and 4, compliance guarantee: through a law and regulation rule base and a compliance check algorithm, the compliance is ensured to meet the standard.

The invention belongs to the technical field of computer-aided project management, and discloses an electric power engineering design project management system and method, and the system comprises a data integration and processing module, a multilayer dynamic knowledge graph data storage library, a graph-based automatic compliance check engine, and a graph neural network-based predictive risk engine. And an active design change impact analysis module. According to the method, a unified and intelligent project data core is constructed, heterogeneous data sources such as design files and law and regulation texts are integrated in a multi-layer dynamic knowledge graph, automatic compliance review is realized by utilizing graph query, data-driven risk prediction is realized by utilizing a graph neural network GNN, and the risk prediction efficiency is improved. And the linkage influence of design change can be simulated and quantitatively evaluated. According to the method, the problems of data islanding, passive compliance examination, subjective risk management, difficulty in change analysis and the like in the prior art are solved, and the management efficiency, accuracy and initiative of the electric power engineering design project can be remarkably improved.

Disclosed is a procurement optimization approach that integrates real-time reinforcement learning and blockchain-based compliance checks for dynamic, transparent decision-making. Initial procurement specifications and weightings are automatically generated using AI analysis of historical procurement data, followed by supplier evaluations using multiple criteria decision analysis with buyer-defined weightings, while a reinforcement learning module continuously refines these weightings based on observed procurement outcomes or feedback. Each updated weighting is automatically verified against predefined procurement rules encoded on a distributed ledger, ensuring that no unauthorized criteria change bypass regulatory thresholds. If found compliant, the system immutably stores the refined weighting and resulting supplier evaluation as a ledger transaction, creating an unalterable audit trail. Optional modules handle anomaly detection, predictive risk analytics, duplication detection across departments, automated tender generation, quantum-resistant cryptography, and ERP integration. This modular design addresses persistent procurement challenges: static weighting, delayed or incomplete compliance checks, and limited traceability. By unifying adaptive AI logic with an immutable ledger, the disclosed system offers robust, real-time improvements in cost efficiency and governance.

The invention provides a building industry finance and tax compliance digital evidence chain integrated platform which is deployed based on a cloud computing architecture and comprises a distributed server cluster, a network communication module and a database storage system. By constructing the integrated digital platform, fundamental efficiency improvement and risk management and control reinforcement of finance and taxation management in the building industry are realized, the platform enables a data acquisition process to be highly automatic, manual repeated entry work is greatly eliminated, financial personnel are liberated from tedious account checking, and the financial personnel are greatly improved. The compliance check module based on a rule engine and artificial intelligence can perform real-time and comprehensive automatic analysis on all transaction data, significantly improves the identification accuracy and timeliness of potential compliance risks, realizes instant alarm, converts passive risk response into active risk response, and improves the risk handling efficiency. Compared with a traditional manual mode, the data processing speed is improved in order of magnitude, the monthly checkout and report generation time is greatly shortened, the enterprise decision cycle is remarkably accelerated, and the overall operation efficiency is improved.

Embodiments of the present disclosure relate to methods and apparatuses for compliance check in a communication system. According to some embodiments of the disclosure, a UE may: receive, from a BS, an RRC reconfiguration message for mobility; and transmit, to the BS, an RRC complete message in response to receiving the RRC reconfiguration message for mobility. The RRC reconfiguration message for mobility may be associated with an enhanced CPA or an enhanced CPC.

The invention relates to the technical field of computer science, and discloses a cryptographic logic vulnerability detection method and system based on a large language model. The method comprises the following steps: firstly, constructing a diversified cryptographic vector knowledge base, and organizing and managing through text vectorization; based on cryptographic algorithm standards such as FIPS, performing logic compliance check on the target code; in combination with a small number of examples and thinking chain prompts, guiding a large language model to identify potential logic vulnerabilities; summarizing a compliance check and reasoning process result, and retrieving related knowledge in a knowledge base based on cosine similarity to enhance model judgment; and finally, integrating knowledge enhancement and logic analysis results, and outputting a structured vulnerability detection report. According to the method, a universal cryptographic vulnerability detection framework which does not need to run codes and is suitable for multiple programming languages is constructed, automatic recognition and detection of complex logic defects in cryptographic codes are achieved, and the accuracy and reasoning ability of a large language model in a cryptographic vulnerability detection task are improved.

The invention provides a dynamic collaborative management method and system for intelligent configuration of DevOps in the power industry, and belongs to the technical field of operation and maintenance management of a power information system.The method comprises the steps that a natural language instruction of a user is analyzed, a target application, a target environment identifier and a target version are recognized, and a deployment request is generated; in response to the deployment request, calling the security baseline configuration library to execute static code compliance check to generate an application version package; deploying the application version package to a target environment, and synchronizing deployment data to a knowledge graph; after deployment is completed, a dynamic configuration change request is generated, a security baseline configuration library is called to execute dynamic configuration compliance verification, and dynamic configuration is updated to a target environment; and the running state of the target application is monitored in real time, dynamic configuration is automatically adjusted when the target environment changes, and fault positioning and repairing are executed based on the knowledge graph when the running state is abnormal. According to the invention, full-life-cycle management from a user instruction to application deployment, configuration management, operation monitoring and fault processing is realized.

The invention provides a dynamic auditing and risk control supervision method based on multiple Agents, aims to solve the problems of insufficient heterogeneous data processing capability, inaccurate risk identification and low auditing efficiency in the prior art, and constructs a heterogeneous data analysis Agent, a retrieval enhancement generation Agent, an intelligent risk identification Agent and an automatic auditing process Agent based on a multi-Agent system framework. Comprehensive analysis and processing of various data sources are achieved, and the retrieval efficiency and coverage rate of risk elements are improved through vectorization retrieval and dynamic SQL query. The risk identification capability is dynamically optimized through a pre-training model in combination with historical risk case analysis, and high-reliability compliance review is realized in combination with a regulation content library. The method can support various automatic auditing processes, including text review, financial analysis and error correction review, and generation of a standardized auditing result report, obviously improves auditing efficiency and precision, reduces compliance risks, and is widely applicable to the fields of financial auditing, enterprise risk control, compliance check and the like.

The invention relates to the technical field of artificial intelligence, and discloses a data processing method and device based on a mirror data layer, computer equipment and a storage medium, and the method comprises the steps: obtaining to-be-submitted data, generating submission batch information for the to-be-submitted data based on a data exit layer, and carrying out the partition management of the to-be-submitted data, and submitting the to-be-submitted data to a specified mechanism, when it is detected that the to-be-submitted data is submitted successfully, obtaining storage receipt information returned by the specified mechanism after receiving the to-be-submitted data; and when determining that the to-be-submitted data is successfully stored based on the storage receipt information, writing the to-be-submitted data into the mirror image data layer, and performing partition management on the to-be-submitted data according to the submission batch information to complete data submission of the to-be-submitted data. In the financial insurance field, especially in the life insurance business, the mirror image data layer provides a reliable data basis for data auditing and compliance inspection, the accuracy in the data management process is ensured, manual intervention is reduced, and an insurance company is helped to meet supervision requirements.

The invention discloses a forest illegal felling identification system based on computer vision, and the system comprises the following modules: a multi-source collection module which is used for collecting data and generating a unified space-time identification data set and an index; the correction registration module is used for correcting data, performing cross-sensor registration and unified resampling, and outputting an aligned image and a geo-fence index; the double-flow change module is used for pairing different time phase sub-graphs according to spatial-temporal indexes, constructing an improved double-flow network to generate a continuous change thermodynamic diagram and extracting candidate change blocks; the vector segmentation module is used for carrying out segmentation, refinement and vectorization under geo-fence constraints to obtain a fine-grained target set; the compliance checking module is used for combining the graph database and the rule engine to carry out space-time compliance checking; and the alarm judgment module is used for edge rapid reasoning and alarming, cloud rechecking and multi-source verification to form a judgment result set. The system gives consideration to accuracy and timeliness, and is suitable for continuous supervision and law enforcement evidence collection of forest regions under complex weather and topographic conditions.

The invention relates to the technical field of system compliance management, and discloses a system compliance early warning method and system, electronic equipment and a storage medium, and the method comprises the steps: collecting system file data, and carrying out the standardization processing and structural analysis; data preparation is carried out based on the system metadatabase and the supervision fine tuning corpus set, an initial model is constructed and trained, a trained system large model is formed, and version management is carried out; determining early warning types, establishing a system revision early warning model for different early warning types, and triggering early warning reminding according to an output result of the early warning model; performing difference comparative analysis on the same-theme systems based on the system large model, and generating a compliance inspection report; receiving a natural language question, generating an answer and providing system traceability information; a system outline is generated according to system revision requirements, a chapter summary and clause content are generated based on the system outline, and real-time compliance check and clause recommendation are supported. According to the invention, the intelligent demand of enterprise system full-life-cycle management can be met.

The invention relates to the technical field of auxiliary bid evaluation, and discloses an intelligent auxiliary bid evaluation method and system based on machine learning and a cloud platform, and the method comprises the steps: automatically analyzing project information and a bid invitation file through a natural language processing module, constructing a structured evaluation task definition, such as a compliance list and a comparison matrix header, and carrying out the automatic analysis of the project information and the bid invitation file; and converting the unstructured bid evaluation requirement into a machine executable task. Meanwhile, the bidding file is parsed in parallel and structured into a unified data format; and based on a preset review rule, performing efficient extraction and compliance verification on mass bidding data to form a multi-dimensional data cube. And then, cleaning, alignment and difference analysis are carried out on the data cubes, a visual compliance report and a KPI comparison matrix are automatically generated, and bid evaluation experts are assisted to make decisions. Therefore, by introducing the machine learning and cloud platform technology, automation, intelligence and standardization of the bid evaluation process are realized, the bid evaluation quality and efficiency are remarkably improved, and powerful technical support is provided for bidding and tendering.

The embodiment of the invention discloses a file cross-network transmission method and device and a computer readable medium. A specific embodiment of the method comprises the steps of determining file structure information of a to-be-transmitted file in response to the fact that the to-be-transmitted file passes compliance check; determining whether a target file template exists or not according to the file structure information; performing file content separation on the to-be-transmitted file to obtain a target file; generating a chained invisible watermark according to a template identifier corresponding to the target file template, meta-file information corresponding to the to-be-transmitted file and the target file; embedding the chain type invisible watermark into the file to be transmitted to obtain a watermark embedded file; according to the meta-file information, a ferry server matched with the to-be-transmitted file is distributed through a distribution server; and according to the ferry mode, the file embedded with the watermark is transmitted to an external storage space in a cross-network manner through the ferry server. According to the embodiment, efficient and safe cross-network data transmission is realized.

The invention belongs to the technical field of data security management, and provides an operation and maintenance audit management system and method, and the system comprises a behavior control module which is used for carrying out the compliance detection of an operation and maintenance operation after receiving an operation and maintenance request initiated by any operation and maintenance terminal, and blocking the execution of the operation and maintenance request when the compliance detection result is that the operation and maintenance operation is abnormal; the auditing module is used for acquiring key information corresponding to all the operation and maintenance operations, adding marking information to the abnormal operation and maintenance operations, receiving auditing suggestions added to the abnormal operation and maintenance operations by an auditing terminal, and generating an auditing report according to the key information, the marking information and the auditing suggestions; the management module is used for performing account management, authentication management, authorization management and workflow management on the operation and maintenance terminal; and the storage module is used for carrying out classified storage on the operation and maintenance whole-process data containing the compliance detection result, the key information, the mark information and the auditing opinions. According to the scheme, the accuracy, reliability and safety of the operation and maintenance auditing link are improved.

The invention relates to the technical field of computer vision, and discloses a data center operation and maintenance behavior compliance analysis method and system based on a camera, and the method comprises the steps: analyzing an action feature type in an operation and maintenance operation action image, so as to determine an abnormal behavior judgment threshold value of an operation and maintenance behavior; calculating an operation and maintenance compliance score of the operation and maintenance behavior; analyzing the operation coherence and the permission mapping goodness of fit of the operation and maintenance personnel to calculate the compliance correlation degree of the operation and maintenance behaviors during compliance check; determining a compliance checking process corresponding to the operation and maintenance behavior, and analyzing a data center equipment operation period constraint in a current execution scene of the operation and maintenance behavior to calculate a compliance adaptation coefficient of the operation and maintenance behavior and equipment operation requirements in the compliance checking process; and executing compliance analysis on the operation and maintenance behaviors to obtain a compliance analysis result. According to the method, the camera-based data center operation and maintenance behavior compliance analysis accuracy can be improved.

The invention relates to the technical field of invoice reimbursement auditing, in particular to an intelligent invoice reimbursement auditing system based on an OCR (Optical Character Recognition) technology, which comprises a data acquisition module used for providing a data interface to upload an invoice image to be audited and basic information of an applicant; the invoice identification module is used for performing compliance check on the invoices through the universal OCR equipment, identifying invoice types and calling the targeted OCR equipment according to the invoice types; the OCR scanning module is used for scanning the invoice image to be audited through targeted OCR equipment and extracting effective information of the invoice image; the data auditing module is used for calling a corresponding intelligent auditing rule engine according to the effective information and sending an auditing result to a corresponding auditor; the auditing behavior analysis module is used for judging the authenticity of the reimbursement behavior based on the historical data and the real-time behavior data; and the risk prediction module is used for carrying out risk prediction on future reimbursement demands, cost trends and cost changes and generating visual reports and results.

The invention belongs to the technical field of data processing, and relates to a page loading method and device, computer equipment and a storage medium, and the method comprises the steps: receiving a Mar kdown file which is uploaded by a user and is matched with a target business demand; converting the Mar kdown file based on the target format to obtain target data; if the target data passes the compliance verification, performing component binding on the target data based on configuration information input by a user to obtain a configuration file; analyzing the configuration file based on a rendering engine to generate an initial page, and splitting the initial page to obtain a plurality of independent rendering units; generating priority information of each independent rendering unit; and carrying out asynchronous loading processing on all the independent rendering units based on the priority information and an on-demand loading strategy. In addition, the invention also relates to a block chain technology, and the configuration file can be stored in the block chain. The page loading method and device can be applied to page loading scenes related to insurance services in the field of financial science and technology, and the page loading efficiency is effectively improved.

Embodiments of the present invention provide a system for a system for generating, customizing, and managing blockchain-based smart insurance contracts for marine and offshore operations, the system comprises one or more user devices, one or more service provider devices and a computer system hosting a contract generation platform including a processor and a memory unit. The one or more user devices are associated with respective insurers and insured parties involved in marine and offshore operations. It is configured to input data related to specific requirements, preferences, and scenarios for insurance contracts. The one or more service provider devices are associated with respective regulatory and compliance entities. It is configured to provide regulatory requirements and compliance checks for the insurance contracts. The computer system hosting a contract generation platform is connected with the one or more user devices and the one or more service provider devices.

The embodiment of the invention provides an unmanned aerial vehicle route early warning method, system and device for a no-fly zone and a medium, and belongs to the field of unmanned aerial vehicles. The method comprises the following steps: establishing a no-fly zone spatial database, and storing electronic fence boundaries and security level attributes of each zone; the method comprises the following steps: acquiring detection data, tracking an unmanned aerial vehicle entering a no-fly zone, generating a real-time flight path, performing compliance verification on the real-time flight path by taking a reported planned route of the unmanned aerial vehicle as a reference, marking the unmanned aerial vehicle deviating from the planned route as a suspicious target, associating identity information of the unmanned aerial vehicle with pilot information, and triggering primary early warning at the same time; and for a suspicious target, carrying out spatial superposition calculation on the flight path of the suspicious target and the electronic fence of the no-fly zone, determining an intrusion risk level according to a security level attribute, and generating an intrusion event and advanced early warning information. Accurate monitoring and track traceability management and control of the unmanned aerial vehicles in key areas are realized, and the accuracy of safety prevention and control of the unmanned aerial vehicles in the areas is improved.

The invention relates to the technical field of artificial intelligence and ESG information disclosure, in particular to an ESG report auxiliary generation method and system based on a large model technology, and the method comprises the steps of multi-source ESG data structured storage, intelligent report layout, large model driven placeholder adaptation, full-dimension compliance check, and multi-format generation and version management. Wherein the intelligent report layout supports drag adjustment and design draft conversion, and the compliance check includes a one-key repair function; the system correspondingly comprises a multi-source data processing module, an intelligent layout module, a placeholder adaptation module, a compliance check module, a multi-format generation module and other core modules, and is matched with auxiliary resources such as a visual component library, an ESG specification knowledge graph, an enterprise visual specification library, an ESG standard index database and an ESG report template library. The problems that in existing ESG report compiling, data integration is difficult, the design threshold is high, and compliance is weak can be effectively solved, whole-process intelligent auxiliary generation is achieved, report compiling efficiency and professionality are improved, and multi-scene output requirements are met.

The invention relates to an enterprise financial process intelligent arrangement monitoring system and method, and the system comprises a process modeling module which carries out the modeling based on a BPMN standard, introduces a process meta-model, and achieves the flexible combination and replacement of task units; the large model driving module is used for generating flow path suggestions by utilizing a fine-tuned large language model in the financial field; the flow scheduling optimization module is used for dynamically adjusting the flow priority according to the financial statement data; the reinforcement learning optimization module is used for optimizing a process strategy through a PPO or DQN algorithm; the compliance checking module is used for carrying out semantic-level compliance judgment in combination with the knowledge graph; and the natural language interaction module supports multi-mode interaction and outputs interpretable results. The method comprises the steps of modeling, path suggestion generation, dynamic priority adjustment, strategy optimization, compliance judgment, interactive response and the like. The method improves the flexibility, adaptability and compliance of the process, is suitable for various financial process scenes, and has wide application prospects and commercial values.

The invention discloses a video content protection method and device based on a multi-channel image feature security mark, and relates to the technical field of video content security management, and the method comprises the steps: obtaining an original video, and checking the original video; acquiring a video frame image of the audited video, and performing fusion, dimension reduction, compression and encryption processing on multichannel high-order features of the video frame image through a perceptual hash algorithm, an interpolation hash algorithm, a compression coding principle and a national cipher SM4 algorithm to generate a dynamic security mark; embedding the dynamic security mark into the video frame image to generate an approved video; and extracting the dynamic security mark of the currently played video, and checking the consistency between the feature information extracted from the dynamic security mark and the feature information of the played video to judge whether the video is compliant or not. The video content is protected, the security of the video is improved, the compliance check of the video content is realized, and the accuracy and efficiency of compliance judgment of the video content are improved.

The invention discloses a supervisible privacy information retrieval method and device, a storage medium and a program product, and relates to the technical field of cryptography and privacy computing. The method comprises the following steps: a data holder completes a publicly verifiable cryptographic commitment for a database version in a system initialization stage and records the database version commitment to an evidence storage chain, and a supervision committee establishes a threshold signature system; the supervision committee performs compliance check on the external authorization certificate and the authorization message provided by the query party, generates a threshold signature when the check is passed, and records an authorization event to the certificate storage chain; the query party assembles an authorization query packet based on the threshold signature and submits the authorization query packet to the data holder; and generating a response ciphertext under the condition that the data holder passes verification of the threshold signature and the authorization query packet, confirms that authorization is legal and is consistent with the committed binding of the database version. According to the method, authorization decision making and post responsibility asking for encrypted query are realized, and trust hypothesis for a single-point approval subject is reduced.