116 results about "Modes" patented technology

Ransomware detection accuracy is improved by analyzing patterns of changes in filename extension counts, relative to each other, that occur in a file system over time. The disclosed approach is malware-agnostic and does not rely on recognizing malware extensions or on real-time monitoring of the target file system. Instead, during each successive backup job of the target file system, the disclosed technology counts different types of filename extensions and compares the counts to each other and to corresponding counts taken in earlier backup jobs. Preferably, the anomaly detection analysis uses machine learning to discern a behavior pattern of the file system, which indicates how filename extensions are distributed and how much they change between backup jobs over time.

The invention discloses an LLM-based controller CAN communication test method and system, and the method comprises the steps: converting a DBC file into a configuration file, reading a VSS and CAN signal corresponding relation file, and inputting the VSS and CAN signal corresponding relation file to an LLM; calling an LLM model, and generating a test case according to the cue word; constructing an automatic framework to implement an execution function based on a behavior-driven development BDD mode; and associating the generated test case with an execution function in the automation framework, constructing a complete test suite, and operating the test suite to execute a CAN bus communication test. VSS path and CAN Signal verification is carried out on the basis of the controller which already realizes the VSS technology, the test case conforming to the BDD natural language is generated by using the LLM, the test case is directly used as the test script, the step of manually compiling the test case is omitted, the test efficiency is improved, and the test cost is reduced.

Examples of the present disclosure describe systems and methods for automating the identification of events in a text file. In examples, a computing system identifies a subset of a text file that comprises an unknown event using a set of rules. Each rule of the set of rules specifying a first pattern of characters is compared to the subset of the first text file. When the set of rules does not identify the unknown event, the subset of the text file is provided to a language model to generate a new rule with a second pattern of characters and an identifier of the new rule. The system then generates an updated set of rules by adding the new rule to the set of rules.

The invention provides a method and a system for exporting Allegro file packages in batches based on Python. The method comprises the following steps: configuring an Allegro executable file path and a pre-recorded Skill script path; selecting a target export directory through a graphical interface, and updating export path parameters in the Skill script; selecting Allegro PCB files to be processed in batches through a graphical interface; verifying the file list and the export path, and starting batch processing after confirmation; traversing the file list, and executing the following steps on each Allegro PCB file to be processed: calling an Allegro command line tool, and opening the PCB file in a batch processing mode; automatically loading a pre-recorded Skill script to execute a packaging and exporting operation; and capturing and feeding back a command line execution state. The efficiency can be improved, multi-file batch automatic processing is supported, and manual operation is reduced; human errors are avoided through automatic path configuration and an exception capture mechanism; the interaction is friendly, and the operation threshold is reduced while the operation steps are simplified.

Ransomware detection accuracy is improved by analyzing patterns of changes in filename extension counts, relative to each other, that occur in a file system over time. The disclosed approach is malware-agnostic and does not rely on recognizing malware extensions or on real-time monitoring of the target file system. Instead, during each successive backup job of the target file system, the disclosed technology counts different types of filename extensions and compares the counts to each other and to corresponding counts taken in earlier backup jobs. Preferably, the anomaly detection analysis uses machine learning to discern a behavior pattern of the file system, which indicates how filename extensions are distributed and how much they change between backup jobs over time.

The technology disclosed relates to detecting a data attack on a local file system. The detecting includes scanning a list to identify files of the local file system that have been updated within a timeframe, reading payloads of files identified by the scanning, calculating current content properties from the payload of the files, obtaining historical content properties of the files, determining that a malicious activity is in process by analyzing the current content properties and the historical content properties to identify a pattern of changes that exceeds a predetermined change velocity. Further, the detecting includes determining that the malicious activity is in process by analyzing the current content properties and known patterns of malicious metadata to identify a match between the current metadata and the known patterns of malicious metadata, determining a machine / user that initiated the malicious activity, and implementing a response mechanism that restricts file modifications by the machine / user.

The invention discloses a code engineering automatic compiling construction method without appointing source code file paths one by one, and belongs to the technical field of software engineering. According to the method, makefile files are created under a code project path, unified src and inc folders are created in each level of catalog of a project to store source files and header files respectively, all file paths are obtained through automatic search, compiling and linking automation is achieved through a mode rule, and automatic generation of a dependency relationship and project solution construction are supported. The invention further provides a compiling construction method of the multi-code project. According to the method, the problem that Makefile or IDE setting needs to be repeatedly modified when code files are added and deleted and paths are modified is solved; the defect that code source file retrieval paths, header file retrieval paths, header file paths depended by compiling of source files and required object file paths need to be manually specified one by one for compiling in the prior art is overcome.

The invention discloses a file pre-reading method and device, a medium and equipment, and the method comprises the steps: firstly obtaining a file type of a target file, and executing pre-reading processing through a pre-reading window only when the target file is a continuous file; and dynamically adjusting the size of the window in combination with the hit condition of the pre-reading content on the basis: increasing the window in hit to improve the sequential reading efficiency, and reducing the window in miss to reduce the invalid pre-reading proportion. Through the above self-adaptive adjustment mechanism based on hit feedback, the size of the pre-reading window can be flexibly optimized for different access modes, and excessive pre-reading caused by a fixed pre-reading window in a random access or access mode change scene is avoided, so that unnecessary memory occupation and input and output resource waste are reduced, and the stability of reading performance is kept.

Kernel-mode security software detects a trigger event indicative of a specific stage in the lifecycle of a target software entity executing in user mode. In response, the security software identifies a target object residing in memory (e.g., loaded library, chunk of code, etc.) according to a current content of the user-mode call stack, and determines whether the target object is malicious. Various methods described herein detect malicious modifications of a loaded module, such as overload, stomping, and unhooking, among others. Other methods described herein detect dynamically swapped libraries and malicious shellcode, among others.

The invention relates to a method and a device for collecting log round-robin files of a linux system. The method comprises the following steps: configuring a file path of a log rotation file to be collected in a linux system; when a log collection program is started, obtaining a target log file and / or a target directory based on the file path; generating and storing file state information of the target log file; adding event monitoring to a target directory corresponding to each file path and a parent directory of the target directory; and when the log file meets a log rotation condition, performing log rotation file collection through the event monitoring and the file state information. According to the method and the device for collecting the log rotation file of the linux system, a create mode and a copyruncate mode which are commonly used by a log tool can be supported at the same time, the log file after rotation is accurately recognized, and repeated collection or missing collection caused by a configuration problem is avoided.

The invention provides a CSV file exporting method, system and device based on JAVA and a medium, and belongs to the technical field of computers. The method comprises the steps that a Java entity class is combined with an annotation to specify a field export format, request mapping is set in a Web project, and a basic array separation header and a field name are analyzed through a tool class; after header data containing UTF-8BOM is written into the output stream, field values are obtained or Map key values are traversed through a reflection mechanism according to object types, data formats are converted according to annotation or default rules in combination with formatting processing factory types, special character escape is completed, and the output stream is written. According to the method, automatic and efficient export from the structured data to the CSV file is realized through data format definition driven by annotation, general export logic packaged by a tool class and a multi-type adaptation mechanism of reflection and a factory mode, and the method is suitable for data export scenes of various Java projects.

The invention provides an import task management method and system of a database, terminal equipment and a storage medium, the method is applied to an importer manager, and the method comprises the following steps: defining an importer type and an operation mode of an import task through a configuration file of a target database; according to the type of the importer, loading a corresponding importer plug-in; when the operation mode is a global mode, starting an instance of the importer plug-in on all nodes of a cluster of the target database so as to import target data; and when the operation mode is a distributed mode, starting an instance of the importer plug-in according to a specified node of a channel distributor so as to import target data. According to the method, the importer manager is configured in the database kernel in advance, the boundary between the database and the external import tool is eliminated, the import task is uniformly defined through the configuration file, and the problems of inconsistent states, asynchronous configuration and the like caused by system separation in the prior art are solved.

The invention discloses an EMIR verification method and system, a computer and a storage medium. The method comprises the following steps: appointing a time sequence library file directory, an RC file path and a constraint file path when an automatic script runs; traversing a time sequence library directory through an automatic script, analyzing time sequence library files, and extracting a PVT condition and an RC model corresponding to each file; automatically classifying and mapping the extracted PVT condition and RC model according to a preset classification rule to generate a multi-process corner combination; automatically generating a multi-mode multi-corner-point MMMC configuration file according to the multi-process corner point combination, and outputting a traceable mapping list and an association table; in a chip physical implementation process, dual-stage EMIR verification is executed in a power supply planning stage and a verification stage. According to the method, the MMMC configuration file matched with the angular point is automatically analyzed based on the time sequence library, and staged EMIR verification is combined in the physical implementation process, so that the overall design efficiency and reliability are improved.

A computer implemented method includes receiving, by the processor, a request to initiate a migration of data. The method also includes receiving, by the processor, data identified in the request to initiate a migration. The method also includes generating, by the processor, a file-out of the data by converting the data from a proprietary schema into a commonly understood schema. The method also includes migrating, by the processor, at least a portion of the file-out to a cloud provider. The method also includes validating, by the processor, the migration of the file-out to determine whether the migration is successful, and in response to validating the migration, generating, by the processor, a migration response indicating whether the migration was successful.

A method for simulating file system aging is disclosed, including: determining a storage capacity of a first device and a type of a file system; determining a ratio between a plurality of small files having different sizes based on the storage capacity of the first device and the type of the file system; copying the plurality of small files having different sizes to the first device according to the ratio; and deleting a part of the small files among all the small files copied onto the first device according to a predetermined interval pattern.

To aim at providing a system and program for generation allowed to appropriately conduct testing of software concerned.SOLUTION: A system for generation comprises a content, etc. acquiring means that acquires required-specification information indicative of a content of software concerned and written MBT-pattern definition information indicative of a MBT pattern as a criterion of a viewpoint of testing to be conducted on the software concerned and means for generation that generates a MBT model for conducting testing corresponding to the MBT pattern which the written MBT-pattern definition information indicates for the software concerned corresponding to the required-specification information, based on the required-specification information and written MBT-pattern definition information acquired by the content, etc. acquiring means. The generation means is to generate a MBT model corresponding to a state transition of the software concerned.SELECTED DRAWING: Figure 1

A system and method for ingesting data is disclosed. In example embodiments, the method may include receiving a structured data file, such as a comma separated value (CSV) file, and translating the file to an internal schema. Translating the file to the internal schema may including mapping one or more incoming fields of the file to one or more internal fields of the internal schema. The method may further include displaying a user interface and receiving, via the user interface, a mapping of an unmapped incoming field to a selected internal field. The method may further include receiving a second structured data file, which may include a second plurality of incoming fields, including the unmapped field. The method may further include mapping the unmapped field of the second file to the selected internal field.

Embodiments of the present invention relate to a DEB package detection method, device, electronic device and storage medium, which identify candidate DEB packages from a terminal operating system according to a preset file name pattern; read the file header information of the candidate DEB package and determine the valid DEB package when it matches the preset file header information; read the byte stream information of the valid DEB package and store it in a buffer, and extract target key information from the byte stream information based on a preset template in the buffer; when it is determined that the target key information meets the preset DEB package format specification, read the file structure information of the valid DEB package, extract the file directory tree, and parse each file layer by layer; when it is determined that each file meets the preset DEB package format specification, extract the basic information of each file, and match the basic information with the preset standard information, and determine the integrity and security of the valid DEB package if the match is successful; and implement integrity and security detection of the DEB installation package through a multi-layer verification mechanism.

Various implementations disclosed herein include obtaining data indicative of a request to modify a configuration item (CI) of a database and one or more portions of a pattern applicable to a service based, at least in part, on the request. A command is identified based on the one or more portions and one or more values of the CI are modified using the command.

Some implementations described herein relate to a system for migrating scheduler objects between scheduler systems. The system may be configured to obtain a first data structure that includes one or more first scheduler objects that conform to a first schema format that is associated with a first scheduler system. The system may be configured to identify the one or more first scheduler objects included in the first data structure. The system may be configured to generate, based on identifying the one or more first scheduler objects, a second data structure that includes one or more second scheduler objects that conform to a second schema format that is associated with a second scheduler system. The system may be configured to provide the second data structure to the second scheduler system.

The present invention relates to a file system protection technology applied to an auxiliary storage device (20), and relates to a device and method for preventing or warning access to or modification of a file system in advance, and protecting the file system by confirming the user's permission when necessary. A control device (60) is connected to a host interface (30), a data storage device (40), and a user input device (50) to control the operation mode of the auxiliary storage device or manage and protect protected file system objects according to user commands. When the operation mode of the auxiliary storage device is management mode, the user can specify the file system object to be protected and set its protection method, and the user-set information is stored in a protected object database (70). In normal mode, when the host's access target is a file system object uploaded to the protected object database, a protection operation is performed with reference to the protection method of the protected object database. In normal mode, the host cannot access the protected object database (70) set by the user in the setting mode, thereby preventing malicious code from changing or destroying the protected object database (70).

The application discloses an AGV task compiling and script executing method based on an RDS scheduling system, and relates to the technical field of AGV scheduling. The method comprises the following steps: a task compiling unit and a script configuration unit are built in the RDS scheduling system, and a visual interface and a script language are provided as two operation modes; a running script containing a task allocation sub-script, a driving control sub-script and an exception handling sub-script is compiled through the script configuration unit; the compiled task and the running script are subjected to syntax checking and parameter matching checking, and are stored in a task database after the checking; the RDS scheduling system calls the task and the corresponding running script in the task database, generates executable instructions and sends the executable instructions to a target AGV, the AGV analyzes the task logic according to the running script, completes the task execution and feeds back the execution state. The application can realize flexible configuration of AGV tasks, high adaptation of scripts and tasks and efficient execution of complex tasks, and improves the adaptability, execution efficiency and reliability of the scheduling system.

A request is received to scan a package integration for a malicious dependency, the package integration to be integrated into an application. Using a known package cache, a subset dependencies of the package integration that have not been previously scanned is determined. Content of each file of the subset is input into a malware detection model, and an identification of an ambiguous pattern is received from the malware detection model. Responsive to receiving the identification of the ambiguous pattern, the ambiguous pattern is input into a severity model, and a level of severity that the ambiguous pattern would impose on an assumption that malware is present is received. Where the level of severity is above a threshold minimum level of severity, a query is transmitted to a generative machine learning model to determine whether malware is present.

The invention discloses a file caching performance improvement method and system based on distributed storage, and the method comprises the steps: firstly obtaining first file caching information of a to-be-cached file in a local caching node, the information comprises at least one of IO mode information generated through an improved virtual file system read-write function, cache page IO type marks and memory state information collected through a memory monitoring thread; inputting the first file cache information into a pre-trained first cache strategy model to obtain a file cache feature vector; the feature vector is sent to a remote storage node, the remote node inputs the feature vector and second file cache information of the to-be-cached file into a pre-trained second cache strategy model together, and a final cache instruction is obtained; and the local node executes cache strategy adjustment according to the instruction. According to the method, global collaborative intelligent optimization of the cache strategy is realized, and the cache hit rate and the system response performance are remarkably improved.

The invention relates to the technical field of script engine embedding, and provides a method for embedding a script engine in the modeling field, which comprises the following steps: S1, selecting an embedding mode of the script engine; s2, if the mode is a separation process mode, the host process creates and starts a sub-process with a script engine; if the mode is the shared process mode, the host process calls a function provided by a script engine; s3, if the mode is a separation process mode, the host process sends an instruction to a script engine sub-process through a cross-process communication channel, and the script engine sub-process reads and analyzes a script; if the mode is a shared process mode, the host process directly transmits a script file path or a pre-processed script content memory address to a script engine; s4, when the host process triggers to exit, if the mode is a separation process mode, the host process sends a closing instruction to the script engine sub-process; if the mode is the shared process mode, the host process calls a cleaning function of the script engine. And the software freedom degree and the new function realization efficiency are improved without depending on manufacturer customization.

A database system stores a table as a set of column files in a columnar format in a manner that improves the write performance of the table and avoids use of separate metadata repository. In embodiments, each column file groups values into entity chunks indexed by an entity index. Each chunk includes a live value index that determines which rows in chunk has live values. New values are written to the column file by appending an updated copy of the entity chunk. The entity index to refer to the newly written chunk as the latest version. This approach avoids expensive in-place updating of individual column values and allows the update to be performed much more quickly. In embodiments, the database system encodes metadata such as table schema information using file naming and placement conventions in the file store, so that a centralized metadata repository is not required.

Ransomware detection accuracy is improved by analyzing patterns of changes in filename extension counts, relative to each other, that occur in a file system over time. The disclosed approach is malware-agnostic and does not rely on recognizing malware extensions or on real-time monitoring of the target file system. Instead, during each successive backup job of the target file system, the disclosed technology counts different types of filename extensions and compares the counts to each other and to corresponding counts taken in earlier backup jobs. Preferably, the anomaly detection analysis uses machine learning to discern a behavior pattern of the file system, which indicates how filename extensions are distributed and how much they change between backup jobs over time.

The invention relates to the technical field of computers, and provides a service point burying method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining an instrumentation configuration file corresponding to an intermediate representation file of an underlying virtual machine; the instrumentation configuration file comprises an instrumentation position and an instrumentation mode of the intermediate representation file; according to the instrumentation configuration file, performing instrumentation on code blocks of a service class method in the intermediate representation file to obtain calling information and method parameters of each code block; and based on the calling information and the method parameters, generating a point burying group corresponding to each code block, and performing point burying on each code block according to the point burying group. According to the technical scheme, the calling information and the method parameters of the code blocks of the method are obtained in an instrumentation mode, the burying point groups of the code blocks are generated for burying points, and the burying points of the code block level can be achieved, so that full coverage of the business code burying points is achieved, and the coverage degree of business methods is improved.

This invention discloses a method and apparatus for determining partition access modes, a storage medium, and an electronic device. The method includes: during the system kernel initialization phase, obtaining the file system type corresponding to each partition in the target storage medium from partition parameters through a system partition initialization program, wherein the partition parameters are parameters used to partition the target storage medium; determining whether the file system corresponding to each partition possesses the target capability based on the file system type, wherein the target capability includes the ability to handle damaged storage blocks; and determining the partition access mode for each partition based on whether the file system corresponding to each partition possesses the target capability. This technical solution solves the problem of inconsistent bad block handling for different file system types on storage media by the system kernel.

The embodiment of the invention provides a kernel patch manufacturing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining patch manufacturing configuration information which comprises a compiling mode, a length threshold value of a kernel symbol and a version identifier of a target kernel; determining a to-be-compiled file list according to the compiling mode; reading kernel native symbols from the kernel executable file according to the length threshold of the kernel symbols and constructing a native symbol list; compiling each source file in the to-be-compiled file list according to the native symbol list to correspondingly obtain each target file; and linking each target file to obtain a linked file, and adding the version identifier of the target kernel to the linked file to obtain a patch of the target kernel. The limitation of strict consistency of kernel versions can be broken through, the deployment flexibility is improved, and the application range is widened; the long symbol analysis bottleneck is eliminated, and the compatibility and robustness of the patch are enhanced; an intelligent compiling mode is introduced, so that the development and debugging efficiency is greatly improved.