61 results about "Data masking" patented technology

The invention relates to the technical field of data processing, and discloses an employee performance assessment-oriented dynamic data desensitization system, which comprises a field analysis module, a query analysis module, a desensitization strategy module and a desensitization execution module, wherein the field analysis module is used for identifying a risk field combination between fields of object data; the query analysis module is used for calculating the sensitivity of each query party to each field in the risk field combination; a desensitization strategy module synchronously generates a joint desensitization strategy of each query party for the risk field combination based on the sensitivity and desensitization constraint condition of each query party for each field in the risk field combination; and the desensitization execution module is used for executing the joint desensitization strategy and performing joint desensitization of the risk field combination for each query party. According to the method, the desensitization strategy is optimized, and the efficiency and safety of employee performance assessment data management are improved.

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.

The embodiment of the invention discloses an authority hierarchical control method based on dynamic desensitization and real-time monitoring and an operation and maintenance bastion host system.According to the embodiment of the invention, by integrating a database firewall and a dual-mode desensitization engine and combining authority hierarchical control and real-time semantic analysis, the data security and operation compliance in an operation and maintenance scene are remarkably improved, and the operation and maintenance security is improved. The dynamic desensitization rewrites a query statement in real time according to a user role, and limits exposure of original data; static desensitization is performed to pre-generate an isolated copy, so that direct access to a production library is reduced; based on semantic analysis and a rule engine, the response time is shortened to be within 1 second; the static desensitization library supports direct use of development and testing, and the permission application process is reduced; a rule base is dynamically updated through an Attention-GRU-Adaboost model, and the adaptability to a novel attack mode is improved.

The invention discloses a privacy protection system based on big data security and privacy calculation, which relates to the technical field of data processing and comprises a data acquisition module, a data processing module, a protection analysis module and a management analysis module. According to the method, the privacy of the desensitized data is improved while the original numerical range and precision of the desensitized data are maintained in a data desensitization mode of random disturbance, and the desensitized data can still support complex analysis and calculation due to introduction of random disturbance; and the data mask form based on differential privacy ensures that the masked data can still support effective data analysis while protecting privacy, so that the method can improve the privacy of the data, the data fusion form of homomorphic encryption and differential privacy can realize efficient and safe data fusion on encrypted data, and the data fusion efficiency is improved. The fused data has privacy and meets the requirements of complex analysis and calculation, the defects of a traditional data privacy protection system can be overcome, and the method is more intelligent and practical.

The invention is suitable for the field of audio processing, and discloses a real-time voice inflexion method, terminal equipment and a storage medium. The real-time voice inflexion method comprises the steps of generating original voice data according to a real-time dialogue audio, and determining condition features and diversity features and filling data masks according to the original voice data; determining first tensor information according to the condition features, the diversity features and the filling data mask, and determining a speaker embedding vector according to the original voice data; determining second tensor information according to the first tensor information, the speaker embedding vector and the filling data mask; and generating a target timbre audio according to the second tensor information, the speaker embedding vector and the pitch frequency of the original voice data. According to the method, the reconstruction precision of the original timbre characteristics in the voice changing process is remarkably improved, the generated voice reaches the real person-like level in perception dimensions such as timbre similarity and intonation naturalness, and the voice changing authenticity of the real-time voice is improved.

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.

This document describes apparatuses and techniques for implementing data masking with pulse amplitude modulation (PAM) encoded signals of a memory circuit. In various aspects, a data mask function of a memory controller may use an unassigned or prohibited PAM signaling state for a set of data lines to indicate data masking to a memory device for a group of data bits. For example, the data mask function may alter a PAM symbol or signal level for at least one data line from a low-voltage state (L) or mid-voltage state (M) state to a high-voltage state (H), resulting in a PAM signaling state for the set of data lines that corresponds data mask indication for the group of data bits. By so doing, the data mask function may indicate data masking for the group of bits without a dedicated data mask signal line, which may enable improved per-line memory bandwidth.

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.

A data encoding scheme for transmission of data from one circuit to another circuit combines DBI encoding and non-DBI encoding and uses a data mask signal to indicate the type of encoding used. The data mask signal in a first state indicates that the data transmitted from one circuit to said another circuit is to be ignored, and the data mask signal in a second state indicates that the data transmitted from one circuit to said another circuit is not to be ignored. If the data mask signal is in the second state, a first subset of the data is encoded with data bus inversion and a second subset of the data is encoded differently from data bus inversion. Such encoding has the advantage that SSO noise is dramatically reduced when the encoded data is transmitted from one circuit to another circuit.

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.

The present invention discloses a sensitive data processing method, processing device, electronic device, and storage medium, relating to the field of information security. The method comprises obtaining a target application corresponding to a log involving sensitive information, wherein the log includes field data recorded by the target application's existing service interface regarding the target application's operation process, where the target application corresponds to N applications, where N is a positive integer greater than or equal to 1; loading a data masking policy into the target application, and employing the data masking policy to mask target data involving designated sensitive fields in the log. The present invention addresses the technical problem in related technologies of being unable to effectively mask sensitive customer information, which can easily lead to customer information leaks.

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.

The present application provides a data desensitization method and apparatus, which relate to the technical field of information security. The method includes: obtaining a to-be-desensitized image and matching parameters; the matching parameters include: a substitution table corresponding to the information type of the to-be-desensitized information included in the to-be-desensitized image, and the number of encryption iterations; the substitution table is generated based on a key; encrypting the to-be-desensitized information based on the matching parameters to obtain encrypted result information, and replacing the to-be-desensitized information with the encrypted result information to obtain a target image after data desensitization. The data desensitization method and apparatus provided by the present application are used to realize the sharing of medical data without disclosing user privacy information, and the holder of the key can restore the original image from the target image after data desensitization.

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.

The present application discloses an electronic device for performing a data masking operation. The electronic device includes a core circuit configured to: store write data and write parity after outputting read data and read parity in the data masking operation. The electronic device also includes an error correction circuit configured to: correct errors included in the read data based on the read parity; generate write parity based on the error-corrected read data, input data, and mask data; and generate write data based on the un-error-corrected read data, input data, and mask data.

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.