40 results about "Data masking" patented technology

The invention belongs to the technical field of deep space exploration, and particularly relates to a multispectral image displacement depth adaptive mapping method and system based on radiometric calibration, and the method comprises the steps: obtaining original black field data with the input bit depth being N and original flat field data with the input bit depth being N; after bad pixels are shielded according to the original black field data and the original flat field data, row offset and row response are calculated; sequentially determining a global scale according to the row offset and the row response, calculating an integration slope, and generating a lookup table according to the integration slope; and acquiring real-time monitoring input, reading the M-bit output value corresponding to the real-time monitoring input according to the lookup table, and correcting and updating the lookup table according to the M-bit output value. Based on a parameterized calculation process (derivation from row bias and row response to a global scale and an integrated slope), different input bit depth and output bit depth requirements can be met by modifying input parameters, inherent limitation caused by hard coding is avoided, and the configurability of cross-platform tasks is improved.

The present disclosure is related to systems and methods for data masking. The method includes obtaining at least one original file and a hierarchical relationship that is associated with data in the at least one original file. The method includes obtaining a masking template for the data in the at least one original file. The method includes masking the data in the at least one original file based on the masking template, to generate at least one target file. The method includes storing the at least one target file based on the hierarchical relationship.

Systems, methods, and computer program products for protecting a database against malicious activity are disclosed. A computer implemented method for protecting a database includes neutralizing an identified malicious activity performed with respect to the database during the occurrence of the malicious activity. The database may include a data masking mechanism where the neutralization of the malicious activity may utilize the data masking mechanism.

Disclosed is an array substrate, a method for manufacturing an array substrate, and a display panel. The array substrate includes a substrate layer, a common electrode layer, and a color resistance layer. A first groove and a second groove are formed on a side surface of the color resistance layer away from the substrate layer. A data masking line layer and a pixel electrode layer are formed on the color resistance layer. A part of the data masking line layer is located in the first groove, and another part of the pixel electrode layer is located in the second groove to form a first capacitance with the data masking line layer in the first groove.

The invention relates to the technical field of data processing, and discloses a volume data real-time cloud rendering method based on a Unity general rendering pipeline, and the method comprises the steps: carrying out the data preprocessing of original DICOM (Digital Imaging and Communications in Medicine) volume data on a Unity rendering platform, extracting volume data information, volume data and volume data mask information, and carrying out the analysis of the volume data; rendering the analyzed volume data to obtain a rendering result of the volume data; encoding the rendering result of the volume data in a picture format, and sending the encoded rendering result of the volume data to a mobile device; and the mobile device decodes the rendering result of the volume data in the picture format into image data and displays the image data. By means of the scheme, three-dimensional model rendering of volume data and traditional grid polygons at multiple terminals is achieved, and the realistic problem that rendering of the mobile terminal is stuck or even collapsed when MR and AR are applied to an educational training scene is solved.

A specialized computing environment that includes hardware and data security features to enable competitive organizations to co-analyze proprietary data without revealing the underlying proprietary data to unauthorized users. Proprietary data are stored in volatile memory, which may be automatically erased according to pre-stored criteria. The analysis is performed automatically by a processing unit without human intervention. Analytical results are sanitized (e.g., using data masking) to prevent the analytical result from being tracible to any particular data source. Sanitized analytical results are output without outputting the underlying proprietary data (except to users authorized to validate analytical results). The computing environment is enclosed within a secure enclosure (e.g., a steel box with a lock), does not include any peripheral devices outside the secure enclosure, does not communicate wirelessly, and does not have hardware ports accessible from outside the secure enclosure (except, in some embodiments, a wired connection for a web server).

The present disclosure provides a chip output characteristic parameter adjustment method, and relates to the technical field of semiconductors. The method comprises the following steps: writing a first test data group into a chip to be adjusted according to a data write mode corresponding to data masking, wherein at least part of the data in the first test data group is masked; reading a first read data group from the chip to be adjusted according to a data read mode corresponding to data masking; and in the case where it is determined that the chip to be adjusted has a data read-write error according to the first test data group and the first read data group, adjusting a timing parameter of a test machine to adjust the output characteristic parameter of the chip to be adjusted through the adjustment of the timing parameter. According to the embodiment of the present disclosure, the yield of the chip can be improved.

This invention provides a data processing unit, relating to the field of high-performance computing technology. The data processing unit includes a first-precision data masking processing module, a first-precision arithmetic module, and a second-precision arithmetic module. The first-precision data masking processing module is connected to both the first-precision arithmetic module and the second-precision arithmetic module. The first-precision data masking processing module includes a logic operation processing unit and a first multiplexer, with the logic operation processing unit connected to the first multiplexer. The data processing unit provided in this embodiment of the invention reduces module power consumption by using a forced mask to prevent abrupt changes in the input data of the first-precision arithmetic module.

The invention relates to a system (100) for supporting a user in a medical regeneration process and / or vitality improvement and / or lifestyle optimization by means of an output of a user-specific intention video, wherein the system (100) comprises a virtual reality data mask or virtual reality data glasses (102) and a computing device (104), wherein the computing device (104) is configured to process a provided user input (105) describing a user intention by means of a machine video generation model (106) in order to generate the intention video (108) that depicts the user intention, and wherein the virtual reality data mask or virtual reality data glasses (102) is configured to output the generated intention video (108) and thus create a visual incentive.through which the user can be supported in a mental exercise to manifest their intention.

The invention provides a hardened cement paste multi-scale direct coupling calculation method and device, and the method comprises the steps: carrying out the in-situ loading and computed tomography of hardened cement paste, generating multi-scale volume data of different stages, and carrying out the multi-phase segmentation to obtain a multi-valued volume data mask; the damage path prediction deep learning model is used to predict the damage path of the multi-valued volume data mask and divide a multi-scale grid, the finite element software is used to carry out direct simulation calculation on the multi-scale grid structure to generate a multi-scale damage result, and the high information density data obtained based on the image can be used to predict the damage path of the multi-valued volume data mask. A potential damage path is predicted through a deep learning model, modeling is performed on the basis, calculation complexity is simplified, on the premise that simulation precision is guaranteed, microstructure evolution characteristics and macroscopic mechanical property response of cement paste in the hydration process are considered, the numerical calculation cost of a multi-scale structure is effectively reduced, and the method is suitable for popularization and application. And an efficient and extensible technical path is provided for evolution process modeling of complex multi-phase materials.

A metadata-driven enterprise data architecture system for automated data collection, processing, and reporting, consisting of: a centralized metadata control repository configured to store canonical enterprise data models and business semantic definitions, source-destination mapping rules and transformation logic, data quality thresholds and matching parameters, governance policies and compliance controls, data provenance relationships and audit tracking rules, security and access control configurations, planning instructions and reporting specifications; an execution and orchestration engine that is operationally connected to the metadata control repository and configured to dynamically interpret metadata definitions, automatically implements data ingestion pipelines to extract data from legacy systems, cloud platforms, application interfaces, files, and streaming sources, performs transformation operations such as normalization, enrichment, deduplication, aggregation, and format harmonization to align the ingested data with the canonical enterprise data model, applies metadata-driven data quality validation, exception handling, and reconciliation processes to ensure accuracy and consistency, and enforces metadata-defined security policies, including role-based access control, encryption, and data masking.Automatic capture of complete data provenance and audit records across all processing stages and creation of standardized operational, analytical, and regulatory reports based on metadata-defined reporting structures and business metrics; where changes to metadata definitions automatically modify the collection, processing, governance, security, and reporting behavior without requiring manual redesign of data pipelines or application code.

The application provides a data shielding method and device and a computer readable storage medium, and relates to the technical field of terminals, and the method comprises the following steps: after detecting that a first data partition mounted in a first directory is abnormal, at least one blank folder corresponding to at least one first folder in the first data partition is mounted into at least one second directory, the first data partition supports starting an operating system of an electronic device, the blank folder is created in a second data partition, and the at least one second directory is a subdirectory of the first directory for mounting the at least one first folder; and the operating system is started by using the first directory. The technical scheme provided by the application can shield the data in the first folder in the first data partition by using the blank folder in the second data partition, so that the abnormal starting of the operating system caused by the file damage or data abnormality in the first folder is avoided, and the electronic device cannot be normally used.

This invention discloses an adaptive data masking and compliant distribution system and method for customized financial data services, comprising five system modules and a six-step implementation method. The system consists of a data access and classification module, an adaptive data masking rule engine, a dynamic data masking algorithm library, a compliant distribution control module, and a full-process audit and traceability module. The method includes six steps: data access classification, request parsing, rule generation, adaptive data masking, compliant distribution, and full-link audit. This invention innovatively sets up a three-factor linkage dynamic rule architecture, a four-level graded gradient refined data masking architecture, and a five-in-one compliant distribution combined with an immutable audit architecture, solving the technical problems of existing financial data masking rules being rigid, reliance on manual classification, lack of compliance control, and an imbalance between security and availability.

The present disclosure relates to methods and systems for contextual data masking and registration. A data masking process may include classifying ingested data, processing the data, and tokenizing the data while maintaining security / privacy of the ingested data. The data masking process may include data configuration that comprises generating anonymized labels of the ingested data, validating an attribute of the ingested data, standardizing the attribute into a standardized format, and processing the data via one or more rules engines. One rules engine can include an address standardization that generates a list of standard addresses that can provide insights into columns of the ingested data without externally transmitting the client data. The masked data can be tokenized as part of the data masking process to securely maintain an impression of the ingested data and generate insights into the ingested data.

The present application provides a dynamic data masking method, comprising the following steps: intercepting a data request sent by a client; forwarding the data request of the client to a database server at a back end; capturing response data sent by the database server, the response data being a result returned after the database server processes the data request of the client; analyzing the returned response data, using a machine learning algorithm to establish a dynamic sensitive data identification rule, and identifying sensitive data in the response data; performing real-time dynamic masking processing on the identified sensitive data on the basis of a configured masking strategy; and sending the masked data back to the client. By establishing a dynamic sensitive data identification rule, the level of intelligence and specialization of masking systems is improved. Dynamic data masking technology allows immediate masking during data access, reducing the processing and storage requirements for original data.

The present disclosure is related to systems and methods for data masking. The method includes obtaining data associated with coincidence events related to intrinsic background radiations of a plurality of crystals of the PET device. Each of the coincidence events may be detected by two crystals of the plurality of crystals of the PET device. The data associated with the each coincidence event may include first time information and second time information. The method includes determining a first time of fight (TOF) difference corresponding to the each coincidence event based on the first time information and the second time information. The method includes determining a second TOF difference corresponding to the each coincidence event based on locations of the two crystals that detect the each coincidence event. The method includes correcting the PET device based on the first TOF difference and the second TOF difference.

A field programmable gate array (FPGA) including a configurable interconnect fabric connecting a plurality of logic blocks, the configurable interconnect fabric and the logic blocks being configured to implement a data masking circuit configured to: receive input data including data values at a plurality of indices of the input data; select between a data value of the data values and an alternative value using a masking multiplexer to generate masked data, the masking multiplexer being controlled by a mask value of a plurality of mask values at indices corresponding to the indices of the input data; and output the masked data. In some examples, the configurable interconnect fabric and the logic blocks are further configured to implement a mask generation circuit configured to generate the mask values. In some examples, the mask values are received from external memory.

Hardware security modules (HSM) may be implemented at distributed edge devices to provide faster and dynamic processing of data. HSM-implemented edge devices may be used to process data to enhance data security. For example, HSM edge devices may provide encryption, decryption, data masking, tokenization, or anonymization. The HSM edge devices may interface with one or more blockchains to invoke smart contracts, and to record data transaction events. In some examples, smart contracts may be used to provide uniform policies and functions across multiple edge devices and their corresponding end user devices.

Systems and methods for providing interaction recordings with removed personally identifiable information (PII) are disclosed, the systems and methods involving: extracting, from an interaction recording, using an automatic speech recognition engine, a timestamped recording transcript; identifying, using an artificial intelligence (AI) engine, time periods of the timestamped recording transcript which disclose PII; and removing, from the interaction recording, data present during the time periods which disclose PII, to produce a secure interaction recording.

Systems and methods are provided for maintaining secure mirrored interactions across SMS and web-based conversational interfaces. Upon session initiation, chat updates are mirrored to the SMS channel in real time. Sensitive information within mirrored messages is automatically detected using natural language processing and masked prior to SMS delivery. Full chat histories, form inputs, and session metadata are persistently stored in encrypted storage, allowing users to pause and later resume the session by reinitiating an SMS conversation. The system ensures continuity, privacy, and real-time synchronization while minimizing exposure of sensitive user data across messaging channels.

The application discloses a large model-based official document generation system and method, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of low accuracy of official document format and content, poor material invalidity, and poor content innovation in official document generation. The application comprises the following modules: a model training module, which is used for training an official document generation model based on official document samples in an official document sample library; a model fine-tuning module, which is used for fine-tuning the trained official document generation model in layers; a prompt word optimization module, which is used for matching prompt words based on an internal prompt word set; a summary generation module, which is used for generating an official document summary based on prompt word combination and user input, and calling a final official document generation model; an official document generation module, which is used for generating and outputting official document texts based on user input and the final official document summary, calling the final official document generation model, and calling a privacy data masking module to mask privacy data in the official document texts.

The invention discloses a personal sensitive information data masking method applied to a driving training public service platform, and belongs to the technical field of data security. The method comprises the following steps: constructing a service scene sensing layer; constructing a dynamic strategy decision-making layer based on context information output by the service scene perception layer; constructing a strategy execution and consistency guarantee layer; establishing a closed-loop feedback and optimization mechanism; and when abnormal interruption or frequent retry of service operation caused by excessive masking is detected, the event is used as a negative feedback log, and when the service is smoothly completed and no security event exists, the event is used as a positive feedback log. According to the invention, through the cooperative effect of constructing the service scene perception layer, the dynamic strategy decision layer and the strategy execution and consistency guarantee layer, the problems of low service efficiency and unauthorized data access risk caused by the fact that a fixed mask rule cannot adapt to multi-service scene requirements in the prior art are solved.

This invention relates to a dynamic data masking strategy allocation method and system based on data usage paths. The method acquires the data usage path from the data source to the data output end, inputs the data usage path into a pre-configured strategy allocation engine, performs structured parsing based on the key characteristics of the data usage path, and dynamically matches the corresponding data masking strategy based on the parsing results to perform data masking processing. The system includes a path acquisition module, a strategy allocation module, and a strategy execution module, with the strategy execution module decoupled from the business logic. This invention ensures data availability while meeting compliance requirements, significantly improves system adaptability and scalability, reduces operating costs, and has strong scenario adaptability, especially for closed-source tasks. It enables centralized reuse and simplified configuration of masking logic, facilitates maintenance, and reduces the degree of intrusion into existing business system code; it also improves data security and usage compliance, meeting the masking needs of diverse usage scenarios.

A method of controlling access to a digital resource of a group of digital resources, the method comprising: receiving a request from a user via a computer browser for access to a digital resource of a group of digital resources; determining if the user has authorization to access a first portion of the resource but not a second portion of the resource; and configuring the browser to redact the resource by locally masking or deleting the second portion at a user interface of the computer which presents the resource to the user without affecting data defining the resource at a source from which the resource is downloaded to provide the requested access.

This invention relates to the field of financial service data security technology, specifically a financial service data security management method and system. The method includes: constructing a knowledge graph of financial service business data and labeling risks, then inputting this knowledge graph into a security policy evolution engine to generate a dynamic and targeted set of security policies. Based on these policies, dynamic and differentiated data masking and access path reconstruction are performed on data entities and relationships in the knowledge graph to generate a controlled access view. The system parses external access requests in real time, performs matching analysis based on the knowledge graph and policies, calculates real-time risk scores, and dynamically adjusts the granularity of access control accordingly, executing authorization or blocking. Full-process audit logs are fed back to the rule base and policy engine, driving adaptive optimization of policies and rules. This method achieves dynamic evolution and generation of security policies and context-aware fine-grained control of data access, improving the automation and intelligence level of security protection.

Procedure, comprehensive: with a masker control microservice (414) accessing an object (OBJ1) and an associated object ID, either from a masking bucket defined in a memory (408) or from an incoming data stream, wherein the object (OBJ1) is associated with an object recipe that references one or more slices of the object (OBJ1), and each of the slices contains segments of data; Create a copy of the object (OBJ1); Identification of those segments (SEG2) of the object recipe that contain confidential data in a specific mask byte range; Masking the copy of the object (OBJ1) to create a masked object (OBJ1M), wherein the masking is done by replacing the segments (SEG2) containing confidential data with new corresponding segments (SEG2M) in which the confidential data has been masked; where, for original segments (SEG1, SEG3) of the object recipe that do not contain confidential data, corresponding references to the original segments (SEG1, SEG3) are included in the masked object, but not the original segments (SEG1, SEG3) themselves; Creating and storing fingerprints only of the respective new segments (SEG2M) in which the confidential data has been masked, but not of the original segments (SEG1, SEG3); Sending (4) the masked object (OBJ1M) containing both the masked segments (SEG2M) and the references to the original segments (SEG1, SEG3) without confidential data to a deduplication microservice (418); Deduplicate the masked object using the deduplication microservice (418); and Storing (5) the deduplicated, masked object in memory (408).

The present disclosure is related to systems and methods for data masking. The method includes obtaining at least one original file and a hierarchical relationship that is associated with data in the at least one original file. The method includes obtaining a masking template for the data in the at least one original file. The method includes masking the data in the at least one original file based on the masking template, to generate at least one target file. The method includes storing the at least one target file based on the hierarchical relationship.

Systems, methods, and computer program products for protecting a database against malicious activity are disclosed. A computer implemented method for protecting a database includes neutralizing an identified malicious activity performed with respect to the database during the occurrence of the malicious activity. The database may include a data masking mechanism where the neutralization of the malicious activity may utilize the data masking mechanism.

The invention relates to a memory device performing a link ECC operation and an operating method thereof. A memory device includes: a syndrome calculator configured to generate an error position signal based on first data and an error correction code; an error corrector configured to generate second data by correcting an error in the first data according to the error position signal; and a data masking (DM) calculation circuit configured to generate a DM signal according to a logical high bit of the first data, and to calculate the error position based on the error position signal, the logic level of the DM signal is changed according to at least one of the increase signal and the decrease signal by activating the increase signal when an error bit is detected in a logic low bit of the first data, and activating the decrease signal when the error bit is detected in a logic high bit of the first data.