156 results about "File attribute" patented technology

The invention provides an attachment packing and unpacking method, system and device based on a compression algorithm and a medium, and belongs to the technical field of file compression. The method comprises the steps that all attachment files needing to be packaged are obtained by traversing a specified directory, screening and filtering are conducted according to file attributes, and a renamed file list and a path mapping table are generated; according to the renamed file list, using a Brotli algorithm to compress each attachment file based on a preset compression level, and packaging the compressed data into a packaged file containing metadata, compressed data and verification information; when the packed file needs to be unpacked, the legality of the packed file is confirmed through magic number verification and index analysis, file data are recovered through Brotli streaming decompression, and the original directory structure of the file is restored. According to the method, efficient compression and streaming decompression are achieved through the Brotli algorithm, and the attachment storage efficiency, the transmission speed and the data integrity are remarkably improved in combination with the intelligent screening and directory structure reduction technology.

The invention provides a data transmission method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining the file attribute information of a to-be-transmitted file, and enabling fragmentation transmission if the file attribute information meets a preset condition; hardware resource information is obtained, configuration information of fragment transmission is configured according to the hardware resource information, and the configuration information at least comprises the fragment size; executing the fragmentation transmission according to the configuration information of the fragmentation transmission; the file to be transmitted is a file to be sent by the opposite terminal equipment and / or a file to be acquired by the opposite terminal equipment, and the fragment transmission comprises fragment receiving of the file from the opposite terminal equipment and / or fragment sending of the file to the opposite terminal equipment. Through the technical scheme of the specification, the size of the fragment is dynamically adjusted, the transmission efficiency of the large file is optimized, the memory pressure is reduced, the network retry cost is reduced, and the object storage service performance is improved.

Systems and methods for immutability assurance of backup data based on comprehensive threat detection. A method includes performing static and dynamic analysis of a process executing on a computing device, registering an operation of the process with a file on a storage communicatively coupled to the computing device, determining that the file in operation is a backup archive, collecting a context of the process, which includes at least a security context based on the static and dynamic analysis, and a backup archive context based on attributes of the backup archive, analyzing the process operation with the backup file using an access control machine-learning model that calculates an immutability rate based on the collected context, and granting or blocking the process access to the backup archived.

The invention discloses a method for constructing a 3D Tiles data structure. The method comprises the following steps: acquiring data of different sources and different types; constructing a corresponding data storage table for each type of data, reading information of each type of data, and storing the information in the corresponding data storage table; converting the coordinate system of each type of data into the same coordinate system; exporting each type of data after coordinate system conversion as a glTF model; the method comprises the following steps: constructing a 3D Tiles extension data structure consisting of an index file and a data file, adding schema attributes in the index file, and defining a plurality of data types in the schema attributes; adding a minimum unit attribute field in the root attribute of the index file to record a corresponding data type and an attribute value; and based on the constructed 3D Tiles extension data structure and the glTF model of each type of data, integrating each type of data into 3D Tiles format data.

The embodiment of the invention provides a target code file vulnerability mining system and method and a storage medium, and the system is characterized in that the system comprises an agent group and a large language model; the agent group comprises a project management agent, a safety expert agent, a tester agent and a developer agent. And the project management agent is used for sending an audit task to the security expert agent according to the attribute information of the target code file. And the security expert agent is used for generating a vulnerability risk analysis result according to the audit task. And the developer agent is used for generating first call chain information of the risk function through the abstract syntax tree of the target code file and the hash function. And the tester intelligent agent is used for carrying out dynamic operation testing on the target code file according to the first call chain information to obtain a first vulnerability mining strategy and a second vulnerability mining strategy, and carrying out vulnerability mining on the target code file, so that the effect of improving the vulnerability mining accuracy is achieved.

A method includes training a first machine learning model with a first dataset, to produce a first trained machine learning model to infer cybersecurity-oriented file properties and / or detect cybersecurity threats within a first domain. The first dataset includes labeled files associated with the first domain. The first trained machine learning model includes multiple layers, some of which are trainable. A second trained machine learning model is generated, via a transfer learning process, using (1) at least one trainable layer from the multiple trainable layers of the first trained machine learning model, and (2) a second dataset different from the first dataset. The second dataset includes labeled files associated with a second domain. The first domain has a different syntax, different semantics, and / or a different structure than that of the second domain. The second trained machine learning model (e.g., a deep neural network model) is then available for use in inferring cybersecurity-oriented properties of the file in the second domain and / or detecting cybersecurity threats in the second domain.

Approaches for setting file attributes in a distributed file system using a multipart file structure are described. A request to set attributes for one or more parts of a multipart file is received. In response to the request, a rectify indicator is set to indicate the attributes for the multipart file that are to be set. In response to the request, an entry corresponding to the request is created in a rectify database. The attributes for the one or more parts of the multipart files are set using at least the entry in the rectify database.

Disclosed in some examples are methods, systems, devices, and machine-readable mediums which monitor for file system element transfers to and from both the endpoint and authorized accounts on network-based service providers (e.g., cloud-based storage). The system uses the capabilities of monitoring both the network-based service and the client computing device to filter out legitimate uploads to authorized network-based services and legitimate downloads to authorized computing devices. By matching events, it filters out events that are likely legitimate, the system may provide more accurate information, notifications, awareness, and unmatched event indications.

The invention belongs to the technical field of information processing, and discloses a file approval method and a related device, and the method comprises the steps: receiving a to-be-approved file submitted by an applicant, and extracting the preset file attribute information of the to-be-approved file; encrypting the to-be-approved file to obtain an encrypted to-be-approved file; generating an optimal approval path based on the approval path dynamic planning model in combination with preset file attribute information of the to-be-approved file; the approval path dynamic planning model is a pre-trained reinforcement learning model; transferring the encrypted to-be-approved file according to the optimal approval path, and distributing the to-be-approved file to the approval personnel of each approval level in the optimal approval path for approval until the approval personnel of all approval levels in the optimal approval path complete approval; according to the method, the reinforcement learning model is used as the dynamic approval path planning model, and the optimal approval path is accurately generated, so that the approval process can plan a reasonable circulation sequence according to the characteristics of the approval file, and the file approval efficiency is improved.

The invention discloses a file attribute setting method, a client, a storage server, equipment and a system, and relates to the field of computers, and the method comprises the steps that the client sends a setting request to the storage server, and the storage server sets file attributes of a plurality of files. And the client receives a setting response, wherein the setting response is used for indicating a setting result of the file attributes of the plurality of files according to the setting request. Therefore, the client does not need to send a setting command of multiple file attributes and set the file attributes of multiple files based on one setting command, batch setting of the file attributes is achieved, the number of the setting commands transmitted between the client and the storage server is reduced, network resource consumption is reduced, and the file attribute setting efficiency is improved. Besides, the client does not need to send a Readdir command word to obtain the file list, and does not need to store the file list or traverse the file list to send a setting command for each file, so that the consumption of storage resources and computing resources of the client is reduced.

This invention discloses a method and apparatus for hierarchical file data storage, comprising recursively traversing the size and type attributes of all files, and prioritizing the migration of files to the target layer of the file system based on the file attribute type. This hierarchical file data storage method calculates the migration score for each file by comprehensively considering file access frequency, the previous migration score, and an adjustment coefficient. The adjustment system adjusts the file based on its size and type attributes. This method of calculating migration scores has a wider range of applications, resulting in more reasonable and accurate file migration, while also improving the access performance of the hierarchical file system storage system. When migrating across file system layers, this method maintains a unified business IO access path for files, eliminating the need to create linked inodes to redirect to the migrated file path, thereby reducing resource consumption, minimizing IO amplification during file read / write operations, and reducing system complexity.

A method for recommending results to a user from a search query is provided. The method includes receiving, in a search engine, a search query for a media file from a user, identifying a style preference of the user associated with a one or more media file attributes, based on a user-related search history, selecting, from a database, a one or more media files based on the search query and the style preference of the user, determining a style preference score for the one or more media files based on the media file attributes, and recommending to the user a top ranked media file based on the style preference score. A system including a memory storing instructions and one or more processors to execute the instructions to cause the system to perform the above method is also provided.

The invention provides a drawing coordinate conversion method and device, equipment and a storage medium, and the method comprises the steps: building a user-defined coordinate system, and determining a first coordinate conversion relation from a PDF coordinate system to the user-defined coordinate system according to the coordinate range of the user-defined coordinate system and the PDF page size specification; in the process of exporting the DWG drawing as the PDF drawing, obtaining coordinate data of a bounding box of the DWG drawing in a DWG coordinate system and a PDF coordinate system, and storing the coordinate data of the bounding box into file attributes of the PDF drawing; and according to the first coordinate conversion relation and the coordinate data of the bounding box, performing bidirectional conversion on the coordinates in the PDF drawing to obtain corresponding coordinates of the coordinates in the PDF drawing in the custom coordinate system and the DWG coordinate system. According to the method, the DWG coordinate association information is reserved in the PDF file, accurate conversion between the PDF drawing and the DWG coordinate system and between the PDF drawing and the user-defined coordinate system is achieved, and the problem that coordinate information is lost after drawing format conversion is solved.

This invention relates to the field of data processing and discloses a database log archiving method, apparatus, device, and medium, comprising: identifying a target redo log file to be archived from the database; creating a preliminary redo log file with the same attributes as the target redo log file and empty content within the same logical disk as the target redo log file; moving the target redo log file to a preset archiving directory located within the same logical disk via MV operations; changing the filename and storage path of the preliminary redo log file to the original filename and storage path of the target redo log file via MV operations; and mounting the revised preliminary redo log file to the database. This invention solves the problems of high I / O consumption and low archiving efficiency in existing database log archiving technologies.

The present application provides a file parsing method, apparatus, electronic device, and storage medium, including: (A) determining a target Office file, where the target Office file is an Office file operated in real time on a terminal device; (B) determining a target file type of an Office file to be parsed at a current layer; (C) obtaining a file directory of the Office file to be parsed according to a file directory parsing logic corresponding to the target file type; (D) outputting file attribute information and file content of the Office file to be parsed based on the file directory; (E) determining whether there is a nested file in the Office file to be parsed based on the file directory; and (F) if there is a nested file in the Office file to be parsed, obtaining the nested file and treating the nested file as the Office file to be parsed, so as to return to execution of step (B).

This invention belongs to the field of printing service technology and discloses a method for accurate printing service recommendation based on multi-dimensional user behavior data. The method includes: constructing user profile tags and parsing file attribute data; obtaining the user's historical printing order information and quantifying preference features; generating final scene tags based on multi-dimensional scene data; filtering feasible basic printing parameters according to the file attribute data, final scene tags, and a preset business rule base; expanding and generating N candidate solutions based on feasible basic printing parameters and the preference features; determining the utility value of each candidate solution through utility function calculation; determining the recommended solution based on the utility value; generating presentation content based on the recommended solution and the decomposition result of the utility function and pushing it to the user; and generating a revised recommended solution based on the feedback information. This invention achieves highly personalized and accurate recommendations, improving user experience.

Embodiments of the present invention relate to apparatuses, systems, methods and computer program products for dynamic adapted security analysis of network resource components. Specifically, the system is typically structured for providing proactive network security by dynamically analyzing entering network resource components for vulnerabilities, establishing adapted validation thresholds and mitigation actions, and preventing unsuccessfully validated network resource components in a distributed network. In some aspects, in response to determining that a file attribute data element of the first network program resource component is of a predetermined file type, the system blocks the incoming file transfer associated with the first network program resource component. The system subsequently initiates, via a network quarantine component, dynamic validation of the first network program resource component based on at least one or more categorical network program resource component records associated with the dynamic validated network resource library.

A method and system for leveraging file-system metadata for direct to cloud object storage optimization. Under cloud object storage architecture, any unstructured data may be managed and stored in the cloud as objects. Objects thus provide an elastic, scalable format through which unstructured data may be maintained for a variety of purposes, including those directed to data backup, archiving, and / or disaster recovery. Cloud object storage, however, tends to be costly—mainly stemming from factors, such as the frequency of read and write operations (also referred to as runtime costs) applied to, as well as the allocation of disk space (also referred to as storage costs) consumed by, any number of objects configured to store file backup copies. In addressing at least the aforementioned, embodiments disclosed herein optimize cloud object storage utilization through the intelligent grouping and object storing of data based on file attribute similarities.

The invention relates to a transmission method, device and equipment for a generic online batch interface. Comprising the following steps: after a consumer inputs object list data, requesting a service party to obtain a batch number; serializing the object list data into an object list file; requesting the service party by carrying the batch number and the attribute information of the object list file, so that the service party deserializes the object list file corresponding to the attribute information of the object list file to obtain object list data, executes the batch processing service of the object list data, and serializes the result data into a result file of the batch number; and monitoring a result file of the batch number, and deserializing the result file to obtain result data. According to the method, the problems that in a traditional online batch interface design, a consumer and a service party need to appoint a file analysis format to achieve file content analysis for service processing, so that the access development cost is high, the formats of input parameter files of different service logics are inconsistent, and sharing and multiplexing cannot be achieved are solved.

The invention discloses a containerized multi-instance management method and related equipment, and relates to the technical field of computer virtualization, and the method comprises the following steps: obtaining hardware architecture information of a host system and configuration parameters of a containerized engine; based on the hardware architecture information and the configuration parameters, deploying a containerized engine to support operation of a plurality of Android instances on a single chip, each Android instance being configured with an independent data storage directory and an attribute file, the attribute file being used for covering Android system attributes; based on a preset network mode type, a network resource allocation strategy of each Android instance is determined, and the network mode type comprises a shared network mode or an independent network mode; and in response to the instance management instruction, carrying out life cycle operation on the Android instance so as to realize resource isolation and independent operation of multiple instances.

The application discloses a distributed storage node load prediction dynamic scheduling method and system, and relates to the technical field of data processing; the method comprises the following steps: real-time statistics of disk data of each storage node is carried out, and a file attribute table is constructed; the file attribute table is split according to directory groups, a plurality of directory groups are obtained, and data subsets of the directory groups are formed; based on the data subsets of the directory groups and pre-labeled file sample data, a local anomaly detection model of each directory group is constructed; the local anomaly detection model is applied to file data of each directory group, anomaly determination is carried out, and a candidate false file list is obtained; the candidate false file list is calibrated, and a false occupied file list is obtained; the application improves the accuracy of false occupied file identification, ensures that cleaning tasks do not affect normal operation of business through dynamic scheduling, and improves storage resource utilization and system operation stability.

The application discloses a storage control method and device. The method comprises the following steps: obtaining file information of a target file in response to obtaining a write operation of the target file; determining a target storage block matched with the file information from a target storage area based on the file information, wherein the target storage area is an area configured with storage blocks with different storage capacities, and the target storage area belongs to a target storage device or a target cache; and controlling the target storage device to perform a write operation of writing the target file into a target block, wherein the target block comprises the target storage block or a storage area having a target correlation relationship with the target storage block. The application can effectively manage storage resources according to file attributes, and can optimize the use of storage space by matching file information and storage blocks. In addition, quick positioning and allocation of storage blocks can reduce the delay of write operations.

The invention relates to a data processing method and device, electronic equipment, a storage medium and a program product. The data processing method comprises the steps of responding to a data operation request for a storage system, and obtaining operation parameter information from the data operation request; if the obtained operation parameter information contains operation parameters required for executing data operation on the target file, storing the operation parameter information into metadata of the target file; and executing data operation on the target file based on the data operation request to obtain updated file attribute content, and updating the file attribute content in the metadata of the target file based on the updated file attribute content. The metadata of the target file in the storage system can be perfected.

Apparatus and methods for quantum-computing based file remediation are provided. A quantum file remediation program on a computer system with a standard processor and an “N”-qubit processor may receive a network file. When a file attribute score determined on the standard processor deviates by more than a predetermined amount from a baseline score, the program may initialize a quantum circuit. A deep learning framework using a quantum generative adversarial network (QGAN) may run on the quantum circuit and generate a remediated file. When the QGAN session ends, the quantum circuit may be collapsed and the original network file may be replaced by the remediated file.

The application discloses a data processing method and device, a storage medium and an electronic device. The application obtains at least one scanning task submitted by a user for a target file, wherein the scanning task includes a scanning task regular expression and a to-be-scanned file attribute type, performs pre-aggregation processing on the scanning task according to the to-be-scanned file attribute type, obtains at least one pre-aggregation task, performs aggregation processing on the pre-aggregation task based on the corresponding scanning task regular expression in the pre-aggregation task, obtains an aggregation regular expression corresponding to each pre-aggregation task, generates a target aggregation task based on the aggregation regular expression, and performs data scanning on the target file based on the target aggregation task to obtain target data matched with each scanning task. Therefore, the application can combine the regular expressions in the scanning task into an aggregation regular expression for matching, so that multiple regular expressions can be matched by performing scanning only once, and the scanning efficiency can be significantly improved.

This invention discloses a data synchronization method and related components for a distributed file system, relating to the field of data replication. The method includes acquiring a file replication packet sent by the master end, wherein the file replication packet includes the file content and metadata information of files under each inode of the distributed file system. Then, each file content is copied to a corresponding copy file on the slave end. Furthermore, the basic attributes of the copied files are set to the metadata information corresponding to the file content stored within the copied files. Therefore, this application, when synchronizing files from the master end to the slave end, not only copies the file content but also the file attributes, i.e., the metadata information. Thus, there is no need to manually set file attributes for the copied files on the slave end, improving the reliability and efficiency of data replication.

The invention discloses a file processing method and device and a program product. Relates to the field of financial science and technology, and the method comprises the steps: generating a data encryption key under the condition that a to-be-encrypted file of a first object is received, and the first object comprises an object for creating the to-be-encrypted file; the file attribute of the to-be-encrypted file and the object attribute of the first object are obtained, and the object attribute comprises at least one of a department to which the first object belongs in the financial institution and a post in the financial institution; determining a key encryption key based on the file attribute and the object attribute of the first object; the to-be-encrypted file is encrypted based on the data encryption key and the key encryption key to obtain a target encryption result, and the target encryption result comprises the encrypted file. Through the file processing method and device, the problem of file processing caused by the fact that the file is encrypted by adopting a static key in an enterprise and the static key is independently managed by an encryptor in the related technology is solved.

The application provides a file attribute management method and related device. In the method, the electronic device can receive the input of the user and identify the demand of the user. The electronic device can extract the key information in the user input, which can include the file range required by the user, the file attribute required by the user, etc. The electronic device can filter the files based on the file range, and filter out the applicable files according to the demand of the user. Then, the electronic device can browse the related information of the filtered applicable files, and extract the attribute value of the applicable files. Finally, the electronic device can display the extracted attribute value to the user, and support the user to make further processing on the attribute value, such as sorting, filtering, operation, etc. In this way, the efficiency of the user to extract the files can be improved, the user can extract more information from the files, and the target file can be located faster or the wrong folder can be excluded.

The application discloses a file anti-leakage and traceability evidence system based on a digital label, and relates to the technical field of computer security. The system comprises a terminal agent unit and a behavior audit center, the terminal agent unit is connected with the behavior audit center through a network to complete information interaction, the terminal agent unit is arranged on each terminal computer in a local area network, and through label embedding, label verification, behavior audit and access control on intranet files, fine-grained access control and behavior audit of the intranet files based on label attributes are realized; the behavior audit center is arranged on a local area network background server, receives file attributes and label information reported by the terminal agent unit, realizes intranet file asset presentation, digital label management, security policy management and behavior log audit, realizes comprehensive presentation of file behavior situation and threat prediction based on artificial intelligence technology, and realizes automatic threat disposal according to preset security policies.

A data access method performed by a processing device is disclosed. The processing device manages a storage device based on a log-structured file system (LFS), where the processing device writes a target file to the storage device based on an out place update (OPU) mechanism; and the processing device writes file attribute information corresponding to the target file in the storage device to out of band (OOB) data of the storage device, to restore, after abnormal power-off, access to the target file by using the file attribute information stored in the OOB data. In this way, when writing the target file to the storage device, the processing device may write a file attribute corresponding to the target file to the OOB data, so that after abnormal power-off, access to the target file may be restored by using the file attribute information.