24 results about "Disk image" patented technology

A method of causing ransomware to be executed includes obtaining a set of ransomware samples and automatically performing a set of scripted detonations of a first subset of the ransomware samples according to a schedule. The set of scripted detonations includes executing the first subset of ransomware samples on a virtual machine. During the execution of the first subset of ransomware samples, use of computing resources by the first subset of ransomware samples is monitored until a shutdown threshold is reached. Upon reaching the shutdown threshold, any pending detonation tasks of the execution of the first subset of ransomware samples are purged. Detonation-infected disk images are generated to include files resulting from the execution of the first subset of ransomware samples, and the detonation-infected disk images are used in training a machine learning system to assess a likelihood of a presence of a ransomware attack.

The application discloses a flare occurrence position determination method and device, electronic equipment and computer medium. The method comprises the following steps: when it is determined that a flare occurs, a flare peak time, a full-disk image corresponding to the flare peak time and initial disk positions of each solar active region are obtained; according to the flare peak time and the initial disk positions of each solar active region, first disk positions of each solar active region corresponding to the flare peak time are determined; the first disk positions of each solar active region are subjected to coordinate system conversion, and pixel positions of each solar active region in the full-disk image are determined; according to the pixel positions of each solar active region and the full-disk image, first pixel values of regions in which each solar active region is located in the full-disk image are respectively calculated; and the first disk position of a solar active region corresponding to a maximum value is determined as the occurrence position of the flare. The application can accurately determine the occurrence position of the flare when the flare occurs.

A system for forecasting when solar flares will occur and identifying their possible locations creates a mask to analyze an image of a solar disk. The system also creates an intensity histogram using the solar disk. Additionally, the system stores a resulting full-disk image and a sub-image identifying possible flare signature sites. Further, the system applies a method to filter out false positive detections by using an equation that enhances true positive pre-flare signatures and minimizes false positive signatures.

The invention discloses a multi-code-in-one solid state disk production tracing method, device and equipment. The method comprises the following steps: acquiring an unoccupied target serial number from a serial number pool and burning the unoccupied target serial number to a solid state disk; reading the serial number of the hard disk and generating a verification label according to the consistency of the two; generating and attaching a bar code label when the verification is passed; identifying the bar code label to obtain a bar code serial number and generating a back code label for attachment; a second hard disk image is collected, and a comprehensive score is determined according to the appearance state and labeling quality; and generating a traceability chain based on the target serial number, the hard disk serial number, the bar code serial number, the bar code label, the back code label and the comprehensive score. According to the scheme, traceable management of the solid state disk in production, labeling and circulation links is realized through a combination mechanism of serial number verification, multi-label association and image scoring, and the identification accuracy, the quality inspection efficiency and the whole-process tracking capability are improved.

The application belongs to the technical field of computer virtualization storage, and provides a method and system for detecting the integrity of a qcow2 virtual disk image file. The qcow2 file header is read, basic metadata is parsed, and the physical offset of the data cluster corresponding to the starting position of the virtual disk in the qcow2 file is automatically calculated. The data of a sector at the physical offset is read as a master boot record (MBR), and MBR parsing information is obtained. Whether the virtual disk uses a GPT partition scheme is determined according to the MBR. The GPT region is automatically located, parsed and verified, and GPT parsing information is obtained. The parsing information, check information and integrity detection information are summarized and output. The application can penetrate the mapping layer of the qcow2 format, directly locate and read the MBR or GPT region of the virtual disk, automatically complete structure parsing, CRC check and integrity judgment, and output the detection result in a clear form.

Systems and methods for capturing a disk image of a bare metal server, and then using the disk image to provision other bare metal servers. A method includes capturing a disk image of a first bare metal server and writing the disk image to a repository manager. The method includes launching a continuous delivery mode on a second bare metal server where the disk image is fetched from repository manager and written to second bare metal server, followed by configuring the unique identity.

A method is provided comprising enrolling, by a processor, access to a virtual machine disk image in a database for a virtual machine manager by retrieving from the database the parameters required to run a virtual; generating a filename using the retrieved parameters; correlating the filename with the virtual machine disk image; creating a control file from the retrieved parameters; starting the virtual machine virtual machine disk image using the filename; translating, by a processor, the received File I / O requests into Data Operations that perform equivalent File I / O actions on data in a database; executing, by a processor, the Data Operations on the virtual machine disk image in the database, correlated with the filename.

The application discloses a virtual machine data backup method, device, program product, equipment and medium of a cloud computing management platform, relates to the technical field of computers, and comprises the following steps: generating a virtual machine snapshot; filtering out current change files from a disk image file of the virtual machine snapshot by scanning file system metadata of the disk image file, and determining current change data blocks that need to be backed up in an incremental backup mode by comparing target data blocks of the current change files with corresponding data blocks of reference backup data; the reference backup data is a basic backup data set used for incremental comparison; performing hierarchical compression processing on the current change data blocks; constructing a target storage directory in an object storage service according to virtual machine identifiers and backup task identifiers associated with the cloud computing management platform, and backing up the compressed data into the target storage directory. The application optimizes the backup data size and the backup time, and effectively improves the low-efficiency limitation of the backup function of the cloud computing management platform.

The application discloses a virtual machine image data distribution method and device, equipment and a storage medium. After virtual machine image data is stored to an image storage system, if target image data required for creating a virtual machine is not stored to an image cache cluster, the target image data is copied from the image storage system to the image cache cluster. If the number of virtual machines to be created is small, the virtual machines can be created based on the target image data in the image cache cluster, thereby reducing the time for creating the virtual machines. If the number of virtual machines to be created is large, the target image data in the image cache cluster can be forwarded to each cloud disk storage cluster in a first cloud disk storage set in a tree forwarding mode. The first cloud disk storage set comprises at least one cloud disk storage cluster in the cloud disk storage system except for a cloud disk image cache cluster. Through the tree forwarding mode, the task amount of image data forwarding of the image storage system is dispersed, the load of the image storage system is reduced, and the speed of creating the virtual machines is improved.

The invention provides a data storage encryption method of an encryption system and electronic equipment, the encryption system comprises a host, a data interface and an encryption card, the host comprises a virtual disk, a disk image file, a virtual disk driver, an encryption card driver and user application software, and the encryption card is in communication connection with the virtual disk driver through the data interface. The method comprises the steps that in the process that an operating system of a host sends a read / write request to a virtual disk, the read / write request is intercepted through a virtual disk driver; when the read / write request is a write request, at least sending plaintext data in the write request to an encryption card through a data interface, so that the encryption card at least encrypts the plaintext data to obtain encrypted data; and receiving encrypted data sent by the encryption card, and writing the encrypted data into the disk mapping file. The problem that the storage capacity is fixed and cannot be expanded as required in USB hardware encryption in the prior art is solved.

This invention relates to the field of image recognition technology, and discloses a machine vision-based image emotion recognition method and system. The machine vision-based image emotion recognition method includes the following steps: Step S101, determining the outer canthus point; Step S102, calculating the orbitozygomatic connectivity region; Step S103, calculating the orbitozygomatic isoperipheral bulging index; Step S104, generating a disk image; Step S105, constructing a feature vector using scalar modulation; Step S106, outputting the emotion prediction result. This invention obtains the monocular yaw angle and outer canthus point through eye region ellipse fitting, and locks the orbitozygomatic connectivity region by combining the lower eyelid margin curve and the zygomatic superior margin curvature ridge line, effectively eliminating the projection distortion caused by head yaw. Combined with neural network feature modulation and angular statistics extraction, stable extraction of emotion-related features is achieved, avoiding confusion between posture changes and emotion features.

The invention relates to an interactive Linux kernel signature verification loading method, device and equipment, belongs to the technical field of information security, and solves the problems of insufficient system flexibility and lack of third-party module loading operation log records caused by too strict kernel module signature verification mechanism in the prior art. Comprising the following steps: integrating a predefined kernel module white list into an initial memory disk image, and configuring an access control strategy; when the system is in a loose and safe mode, judging whether an interactive verification function is enabled or not, if so, judging whether a to-be-loaded kernel module is located in the kernel module white list or not when a loading request of an unsigned or invalid-signed to-be-loaded kernel module is detected, and if so, allowing to load the to-be-loaded kernel module; if not, triggering a user interaction confirmation process, and determining whether the to-be-loaded kernel module is allowed to be loaded or not according to a confirmation result; wherein the loading event information of the kernel module to be loaded is recorded to the audit log.

The application discloses a cloud service version updating method and device, equipment and a storage medium, and relates to the field of version updating, and comprises the following steps: acquiring a cloud disk created based on a disk image; the disk image is an image specially used for storing configuration files and a version to be updated; mounting the cloud disk and a host to be updated and connecting the operating system and the cloud disk after mounting are performed through a terraform tool, a disk symbol is allocated for the cloud disk after connection, and the disk symbol is modified according to the disk information and the configuration files corresponding to the host to be updated; the current process service running on the host to be updated is determined, the process corresponding to the current process service is locked if all the processes are in an unoccupied state, and the process is restarted to load the version to be updated after successful locking, thereby completing the updating of the cloud service version. Through cloud disk mounting, the application solves the transmission problem of large file packages, and can update the version of the currently running cloud service without the user's awareness and without occupying the host resources.

Embodiments of the present disclosure disclose a software file, a software running method and an apparatus related thereto, the method includes: obtaining a booting request to boot the working software of the software file; booting the bootstrap program of the software file according to the booting request and allocating an encryption memory for an encryption container corresponding to the software file; instructing the security processor through the bootstrap program to obtain the first decryption key of the encryption container disk image file and sending the first decryption key to the encryption container, so that the encryption container decrypts the encryption container disk image file to obtain the encryption container disk image and the working software stored in the encryption memory; running the encryption container disk image to boot the encryption container; and booting the working software when a local authorization file in the encryption container disk image is legal.

The application relates to the technical field of virtual machines, and particularly discloses a continuous data protection method and device, electronic equipment and a storage medium, wherein the method comprises the following steps: temporarily creating a copy image file and taking the copy image file as a disk medium of a virtual machine; starting the virtual machine, performing data operation and recording based on continuous data protection, and simultaneously performing data initialization operation; after the data initialization operation is completed, switching the disk image file to the disk medium of the virtual machine; performing backfill processing on the disk image file; performing data operation and recording based on continuous data protection; the method temporarily creates a copy image file before starting the virtual machine, takes the copy image file as the disk medium used by the virtual machine in the initial stage, and simultaneously performs data initialization operation, so that the virtual machine does not need to pause running to record a data source in the initial stage, the starting rate of the virtual machine can be greatly improved, and the problem of initialization time consumption existing in continuous data protection is effectively solved.

A system and method for converting and copying a virtual disk image between provider-specific computing resources is provided. The method includes receiving a request to copy a virtual disk image from a source to a destination, and converting the virtual disk image from a source format to a destination format while copying. The conversion process involves predicting locations of data blocks within the virtual disk image based on structural characteristics of the source format without accessing metadata at the end of the image. Data blocks are decoded from the source format to a raw format while streaming from the source, based on the predicted locations. The data blocks are then encoded from the raw format to the destination format while streaming to the destination. This method enables efficient conversion and transfer of virtual disk images between different provider-specific computing resources.

The invention discloses a virtual machine disk mirror image starting prediction method and system based on cross-layer semantic alignment, and belongs to the technical field of virtual machine deployment. The method comprises the following steps: receiving a virtual machine deployment request, and obtaining a to-be-deployed disk mirror image and target environment configuration parameters; the starting process is decoupled into an internal guide semantic domain and an external configuration semantic domain, mirror image internal guide semantic features are extracted through read-only static analysis to generate internal feature vectors, and target environment configuration semantic features are collected to generate external feature vectors; constructing a semantic compatibility knowledge graph, performing cross-layer semantic alignment verification on the two types of vectors based on the graph, and identifying conflict events; and generating a starting feasibility prediction result and diagnosis traceability data according to the conflict event, feeding back to the deployment platform, and executing a release or blocking strategy. According to the scheme, the starting feasibility prediction accuracy is improved, the invalid deployment risk is avoided, the deployment efficiency is improved, and reliable support is provided for system optimization and problem tracing.

The invention relates to the technical field of image classified storage, and particularly provides a cloud disk picture hierarchical compression and storage management system and method based on classification confidence, and the method comprises the steps: receiving a to-be-processed picture uploaded to a cloud disk by a user; performing image classification processing on the to-be-processed picture to obtain a corresponding picture category label and a classification confidence coefficient of a classification result; based on the classification confidence, performing hierarchical compression processing on the to-be-processed picture to obtain a compressed picture; calculating the storage priority of the compressed picture according to the classification confidence and the historical access frequency of the to-be-processed picture or the corresponding compressed picture; based on the storage priority, automatically distributing the compressed picture to a corresponding initial storage medium in a cloud disk system; and periodically or when a preset triggering condition is met, dynamically migrating the storage positions of the compressed pictures stored in different storage media. The storage efficiency and the user experience are improved.

This invention discloses a method and system for predicting virtual machine disk image startup using cross-layer semantic alignment, belonging to the field of virtual machine deployment technology. The method involves receiving a virtual machine deployment request, obtaining the disk image to be deployed and the target environment configuration parameters; decoupling the startup process into internal boot and external configuration semantic domains; extracting internal boot semantic features from the image through read-only static parsing to generate internal feature vectors; collecting target environment configuration semantic features to generate external feature vectors; constructing a semantic compatibility knowledge graph; performing cross-layer semantic alignment verification on the two types of vectors based on the graph and identifying conflict events; generating startup feasibility prediction results and diagnostic tracing data based on conflict events; feeding these back to the deployment platform and executing allow or block policies. This solution improves the accuracy of startup feasibility prediction, avoids the risk of ineffective deployment, improves deployment efficiency, and provides reliable support for system optimization and problem tracing.

The invention relates to a full-solar-surface image cloud pollution detection method, system and device and a medium. The method comprises the following steps: preprocessing a full-solar-surface image sequence in a solar-surface effective area to obtain a plurality of image blocks and corresponding DCT feature vectors; based on the spatial adjacency relation between the image blocks and the precedence relation of the image blocks at the same position in the time sequence, constructing a space-time diagram in combination with DCT feature vectors; inputting the space-time diagram into a pre-trained DCT-based graph neural network model to obtain a node advanced feature vector; decoding the advanced feature vector of each node to obtain a cloud pollution probability value, and generating a cloud pollution probability map in a full-solar-surface range based on the cloud pollution probability values of all the image blocks; and performing time sequence smoothing and adaptive threshold binarization processing on the cloud pollution probability map to generate a full-solar-surface cloud pollution binary mask, and performing calculation based on the full-solar-surface cloud pollution binary mask to obtain a cloud coverage rate quantitative index. By adopting the method, the cloud pollution area can be accurately identified and quantified.

The embodiment of the present application provides a kind of data recovery method, device and electronic equipment of Docker container, which comprises: obtaining the disk image file related to Docker container, disk image file is segmented into multiple clusters, from the data in each cluster meets the first target cluster of the log file format of Docker container.Reorganization splicing is obtained to the second target cluster with predefined rule to the first target cluster.Replacement first data with second data and above steps are recycled until the log file of Docker container is recovered.Therefore, through the embodiment of the present application, when log file is misdeletion and metadata is unavailable, it can be based on the log file format of Docker container that the cluster meeting the log file format of Docker container is reorganized and spliced.To restore the log file of Docker container.Facilitate the running state of Docker container, application and the analysis of the abnormal problem that appears.

A method for implementing a multi-party software build process using confidential computing includes encrypting, using one or more secret keys, a disk image of software configured to implement the software build process, storing the one or more secret keys and a key release policy that defines one or more conditions for releasing the one or more secret keys to entities associated with the software build process, and, using hardware configured to support operation of a trusted execution environment (TEE), launching a software environment within the TEE and performing a cryptographic measurement of the software environment, selectively providing the one or more secret keys based on validation of the cryptographic measurement of the software environment and the key release policy, and, using the one or more secret keys for decrypting the disk image, verifying integrity of the disk image, and launching the software build process.

The application discloses a kind of disk image generation method, device, equipment and storage medium, the method comprises: when monitoring the data in target disk changes, according to the data address of disk change data determines the corresponding disk monolithic in the target disk;Determine the read-write characteristics of disk monolithic, and according to the read-write characteristics determine the disk image format corresponding to disk monolithic;According to disk image format, disk change data is mapped to the corresponding disk image in storage device.Because the application is through the read-write characteristics of the disk monolithic corresponding to disk change data to determine the disk image format, according to the disk image format, disk change data is mapped to the corresponding disk image, ensure that the data in disk image is stored in continuous sector, when subsequent read-write is executed to disk image in storage device, reduce the track of storage device, when maintaining the snapshot of disk image, do not increase IO times, improve the load capacity of storage device.

Methods and systems for managing endpoint devices are disclosed. The endpoint devices may be managed by onboarding them. To onboard the endpoint devices, ownership vouchers may include information that directs the endpoint device to a meta payload that contains a link to a bootable installer and / or disk image and authentication data that is used to verify an integrity of the bootable installer and / or disk image. The meta payload may be stored at a location different from where the bootable installer and / or disk image are stored. Changes to the bootable installer and / or disk image would not require regeneration of every ownership voucher that referenced the previous version of the bootable installer and / or disk image before the changes.