27 results about "Retention period" patented technology

The invention discloses a monitoring video delay sweep generation method based on scene change self-adaptive frame extraction, and belongs to the technical field of video monitoring and streaming media processing. The method comprises the following steps: acquiring a sweep strategy containing a time period, a reference interval, a difference threshold value, a forced retention period, a window length and a quality threshold value; receiving a real-time code stream or reading a storage side key frame intermediate file; calculating an inter-frame difference degree by using a brightness channel of a multi-scale structure similarity algorithm, determining a frame extraction interval in combination with a static duration, and marking candidate frames; performing quality detection according to definition, brightness, contrast, stripes and noise, and rejecting unqualified products; when a forced period is reached, a bottom frame is reserved; and performing segmented coding according to a time window, and performing assembly output at the end of a time period. According to the method, online and offline processing links are unified, key information is reserved, and redundancy and time delay are reduced.

The invention discloses an off-line multi-scene collaboration and data synchronization mechanism and system based on a light guide film. State data of a user in multiple application scenes such as health monitoring, safety protection, social service, virtual world and smart home are subjected to local temporary storage, priority ranking and intelligent synchronization after network disconnection recovery through a unified identity authentication center. The unique identity feature code is locally cached after the user registers for the first time, and the user does not need to depend on online authentication in an offline state. The system comprises an off-line data temporary storage module, a priority ranking module, an off-network recovery synchronization module, a conflict arbitration module, a storage space management module and a manager off-line response module. When the network is interrupted, state change is temporarily stored in a local circular queue according to the priority (the highest life safety class), sequencing is carried out in real time during writing, and low-priority data is preferentially discarded when the space is full (coverage operation is executed at the head of the queue). And after the network is recovered, reporting according to a priority sequence, and reporting overtime retry by adopting a fragment transmission and breakpoint resume mechanism. The multi-device offline conflict is automatically arbitrated according to a version number, a timestamp and a device priority rule, and a conflict log retention period can be set. And when the supervisor is offline, automatically electing a temporary supervisor, and synchronizing data after recovery. According to the method, the problems that multi-scene state data are lost when the network is interrupted, off-line operation cannot be coordinated, and data conflicts are generated after recovery are solved, and a complete closed loop of online real-time synchronization, off-line temporary storage and supplementary transmission and high availability of a manager is realized.

The invention discloses an enterprise information intelligent management method and system based on big data, and relates to the technical field of big data analysis, and the method comprises the steps: carrying out the data degradation analysis processing of to-be-managed enterprise information; and carrying out comparative analysis processing on the data degradation difference value. According to the method and the device, the data degradation difference value is determined by performing data degradation analysis on the enterprise information to be managed, the data degradation difference value can display the access times and the access frequency of the enterprise information, and the calling condition of the enterprise information can be determined by performing comparative analysis on the data degradation difference value subsequently; in addition, even if the number of calling times of some enterprise information is small, the enterprise information cannot be directly deleted, data or blood relationship analysis needs to be carried out on the enterprise information, whether the enterprise information has relevance with other enterprise information which does not reach the retention period or not is determined, and if the enterprise information has relevance, the enterprise information which does not reach the retention period needs to be deleted. And the data are also reserved, so that the integrity of the data during calling is ensured.

A data management system (DMS) may support intelligent snapshot protection techniques. For example, the DMS may backup a computing system and facilitate that capture and storage of snapshots of the computing system. The DMS may identify a deletion event associated with one or more of the snapshots, the deletion event being associated with the one or more snapshots being deleted at a first time. The DMS may determine that deletion event is anomalous and retain the one or more snapshots beyond the first time. For example, the DMS may determine that one or more parameters associated with the deletion event are indicative of the deletion event being anomalous. In response, the DMS may retain the one or more snapshots for a retention period beyond the first time.

The application discloses a financial-grade database multidimensional security management and control system and method, relates to the technical field of financial data security management and control, and deploys a quantum encryption network and a backup key pool; initializes a data hierarchical management mechanism and a key management hub; transforms a database engine and builds a trusted audit hub, and deploys a security agent on a database node. Through the cooperation of the quantum encryption network and the post-quantum backup key pool, the high security of quantum encryption is utilized to resist traditional and quantum computing threats, and the encryption service is ensured not to be interrupted when the quantum network is abnormal, thereby meeting the continuity requirement of financial transactions; fine-grained data grading is combined with a differentiated security strategy, encryption algorithms, access permissions and retention periods are configured for high-sensitive, medium-sensitive and low-sensitive data respectively, precise protection is realized, and operation efficiency is taken into account; and a multi-role key cooperation mechanism avoids single-point key leakage, and the original key is destroyed after the key is generated, so that the key security is further improved.

Mechanisms are provided for caching threat intelligence enhancements in a threat intelligence cache of a threat intelligence computing system. The mechanisms, in response to a threat intelligence enhancement (TIE) being generated based on threat intelligence data, apply one or more threat intelligence cache policies to the TIE to determine a default cache retention period for a TIE type corresponding to the TIE. Different TIE types have different default cache retention periods. The mechanisms process the TIE and corresponding context data in the threat intelligence data to determine an adjustment to the default cache retention period based on the context data. The mechanisms modify the default cache retention period by the determined adjustment to generate a modified cache retention period. The mechanisms store the TIE in a TIE cache in accordance with the modified cache retention period.

The invention provides an electric power data privacy sharing method and system based on a PUF and a block chain, and the method comprises the steps that an electric power collection terminal generates a PUF challenge-response pair, records a binding relation between a device DID and a PUF fingerprint in a registration contract, and registers the registration contract to the block chain; collecting electric power data and taking the PUF response as a dynamic random source to participate in data signature calculation so as to generate a signature; storing the hash abstract of the data packet containing the signature and the power data and the index information pointing to the distributed storage address under the chain on the chain, and storing the power data under the chain in a distributed manner; the data user performs identity verification according to the registered device DID through the smart contract, applies for access and triggers privacy calculation; the data auditing unit periodically executes Merkle tree auditing and detects whether the data stored on the chain is complete or not; the data destruction unit executes an encryption deletion operation and records a destruction voucher on a chain when the power data reaches a storage life.

A location-based application, such as a parallel reality game, may receive, from a client device of a user of the application, location data representing the user's position in the real-world. In one embodiment, a game platform associated with the application writes location data derived from the received location data to each of a plurality of retention tables, each storing the location data at a different level of granularity and for a different retention period. Upon expiration of a retention period for a first retention table, the game platform anonymizes the location data and transfers the anonymized data to a second retention table storing the data at a lower level of granularity. The game platform repeats this process until expiration of the retention period for the table having the lowest level of granularity before deleting the location data from storage.

The invention discloses a financial-level database multi-dimensional security management and control system and method, and relates to the technical field of financial data security management and control. A quantum encryption network and a standby key pool are deployed; initializing a data level-to-level management mechanism and a key management center; a database engine is transformed, a credible auditing center is built, and a security agent is deployed at a database node. According to the invention, through cooperation of the quantum encryption network and the post-quantum standby key pool, high security of quantum encryption is utilized to resist traditional and quantum computing threats, encryption service is ensured not to be interrupted when the quantum network is abnormal, and the requirement of financial transaction continuity is met; fine-grained data grading is combined with a differentiated security policy, an encryption algorithm, an access permission and a retention period are configured for high-sensitivity, medium-sensitivity and low-sensitivity data respectively, and the operation efficiency is considered while precise protection is achieved; a multi-role key cooperation mechanism avoids leakage of a single-point key, and the key security is further improved by combining the design that the original key is destroyed after the key is generated.

A system that includes the following: a processor; a storage facility; and a machine-readable memory that stores instructions, whereby the instructions can be executed by the processor to: to receive inputs (400) specifying an expected amount of data and a minimum retention period for a deduplication data store (150); to perform a comparison of the at least one retention period with a stored data structure (170), wherein the stored data structure (170) comprises different combinations of respective storage multipliers corresponding to the respective maximum retention periods; to determine at least one storage multiplier of the respective storage multipliers based on the comparison of at least one retention period with the stored data structure (170); to determine a storage quantity to be provided for the deduplication data store (150) based on the expected amount of data and the determined minimum storage multiplier; and to provide the deduplication data store (150) based at least on the specified amount of storage.

Systems, methods, and non-transitory machine-readable media for provisioning a deduplicated data store are provided. Example embodiments relate to provisioning a deduplicated data store. Examples include receiving input indicative of an expected data volume for a deduplicated data store and at least one retention period; performing a comparison of the at least one retention period to a stored data structure; determining at least one storage multiplier based on the comparison of the at least one retention period to the stored data structure; and determining a storage volume to provision for the deduplicated data store based on the expected data volume and the at least one storage multiplier.

This invention relates to the field of electronic records management technology, and more particularly to a method and system for intelligent identification and automatic disposal of electronic records based on semantic matching. The method involves semantically decomposing identification rules and encoding record features, calculating semantic distance to generate recommended retention periods and destruction trigger scores. A directed acyclic graph of associated records is constructed and bidirectional information propagation is performed. Constraint conflicts or circular dependencies are detected and decomposed. Destruction conditions are determined based on the scores and recommended values ​​of nodes within the subgraph. When the conditions are met, the records are automatically migrated to the destruction database. This achieves automation, intelligence, and conflict resolution in electronic records identification, improving disposal efficiency and accuracy.

This invention relates to the field of electronic records management technology, and more particularly to a method and system for intelligent identification and automatic disposal of electronic records based on semantic matching. The method involves semantically decomposing identification rules and encoding record features, calculating semantic distance to generate recommended retention periods and destruction trigger scores. A directed acyclic graph of associated records is constructed and bidirectional information propagation is performed. Constraint conflicts or circular dependencies are detected and decomposed. Destruction conditions are determined based on the scores and recommended values ​​of nodes within the subgraph. When the conditions are met, the records are automatically migrated to the destruction database. This achieves automation, intelligence, and conflict resolution in electronic records identification, improving disposal efficiency and accuracy.

Cloning operations can be used generate snapshots of tables at specified times. The snapshot objects can be stored in a first-tier storage with the table, where the cloned versions of the tables and the table may share files, such as micro-partition files, to conserve storage resources. After a first expiration time, snapshot objects can be transferred from the first-tier storage to a second-tier storage to further save on storage costs. After a second expiration time (e.g., full retention period), the snapshot objects can be deleted from the second-tier storage as well.

According to one embodiment, a processor of a cache server delivers content acquired from an origin server to a client, using a storage device as a cache of the contents. When an error occurs in reading the content from the storage device, the processor determines whether or not to recover the content based on a recovery amount of a delivery capability of the cache server as a result of recovering the content and a cost of writing data to the storage device associated with recovery of the content. When determined to recover the content, the processor selects a content recovery method based on a first remaining retention period during which the content should be retained and a second remaining retention period until the content is to be erased from the storage device.

A video recording system and method for archiving surveillance videos from multiple cameras includes storing video clips in files on a storage medium. The system segments incoming videos into time-ordered clips and stores them in a hierarchical directory structure organized by camera and time period. When storage capacity reaches a threshold, the system identifies older video clips based on age or retention policies, designates their files as recycled files, and moves the recycled files to a recycle directory. As new video clips are captured, they are stored in the recycled files rather than deleting the old files and creating new files. The system supports different retention periods for different cameras.

Approaches for managing retention of logs are described. In an example, a log pertaining to an operation and / or development of a product and / or service is obtained. The log is processed to determine log attributes and based on the determined log attributes, a retention criteria specifying a retention period for the log is identified. The identified retention criteria is then applied to maintain the log in a repository. In another example, a request to modify a retention period is received. A conflict between existing and proposed retention criteria is determined based on evaluation factors. If no conflict exists, the new retention period is associated with the log.

The application relates to an information automatic deletion method and system based on time synchronization and trusted counting, which comprises the following steps: standardizing and defining various data structures, wherein the various data structures at least comprise configuration information; setting a trigger condition for information automatic deletion, wherein the trigger condition comprises an automatic deletion condition based on time synchronization and / or an automatic deletion condition based on trusted counting; keeping the configuration information synchronized between domains; and performing an information automatic deletion operation by an information source domain and / or an information propagation domain when an information flow transfer data triggers the trigger condition. In view of the problem that a data deletion mechanism cannot delete information according to a retention period, the application realizes automatic deletion of authorized information that has been transferred out after a certain period of time through a cross-system clock synchronization technology; and the application also limits the number of information transfer times to ensure that information is transferred within a specified number of times, and the information and its copies are completely deleted after the maximum number of transfer times.

A computer program product, system, and method are provided for dynamically determining the retention period of digital content. Metadata for instances of digital content is generated, including user access patterns of the digital content on a computing device, attributes of the digital content, and the retention period during which the stored digital content is retained in memory. A machine learning module is trained with input including the metadata for instances of digital content to generate the retention period of the digital content. Input including metadata determined based on digital content received after training the machine learning module is provided to the machine learning module to generate an output retention period for digital content received after training. The output retention period is used to determine when to delete the digital content received after training from memory.

Mechanisms are provided for caching threat intelligence enhancements in a threat intelligence cache of a threat intelligence computing system. The mechanisms, in response to a threat intelligence enhancement (TIE) being generated based on threat intelligence data, apply one or more threat intelligence cache policies to the TIE to determine a default cache retention period for a TIE type corresponding to the TIE. Different TIE types have different default cache retention periods. The mechanisms process the TIE and corresponding context data in the threat intelligence data to determine an adjustment to the default cache retention period based on the context data. The mechanisms modify the default cache retention period by the determined adjustment to generate a modified cache retention period. The mechanisms store the TIE in a TIE cache in accordance with the modified cache retention period.

A data-driven academic expansion management system for the institutional analysis and control of expansion activities within an educational institution. The system includes: a variety of data collection units configured to capture metadata on cultural and academic expansion activities, including identifiers, category, activity mode, associated department, responsible persons, and temporal attributes; a central processing unit that is operationally connected to a storage unit and a non-volatile database, wherein the storage unit stores program instructions that can be executed by the central processing unit to structure, classify and link the captured metadata according to predefined institutional frameworks; a coordination controller configured to generate digital records in an institutional management repository for each identified activity, with the coordination controller linked to the user authentication parameters of deans, school principals, department heads, and outreach managers; a planning and distribution control unit in communication with the central processing unit, configured to digitally register posters, distribution emails, participant registration forms, multimedia evidence and activity feedback in a unified repository through cloud storage synchronization; a performance evaluation unit connected to the database, configured to calculate Key Performance Indicators (KPIs) that represent management indicators and acceptance criteria for each outreach activity based on activity frequency, inter-institutional collaboration, and participant satisfaction metrics; an impact analysis controller linked to a repository of graduate profile matrices, wherein the controller is configured to link extension activities with corresponding graduate outcome parameters and calculate an impact index (IG) that indicates the competency alignment of graduates; a satisfaction assessment processor configured to aggregate survey data, calculate the satisfaction levels of internal and external beneficiaries, and generate satisfaction reports for academic and cultural activities, which are stored in shared digital folders for at least a predetermined retention period; and a system interface controller configured to display institutional dashboards in real time, representing KPIs, impact levels and satisfaction metrics aligned with the institutional strategy plan, thus enabling automated evaluation, reporting and archiving of expansion activities.

This invention discloses an intelligent electronic document archiving and organization method based on LoRA fine-tuning, comprising two stages: training and inference. In the training stage, historical archive data of the target unit is collected, and the three tasks of classification, identification, and evaluation are arranged into a three-in-one training sample. Low-rank decomposition matrix pairs are added to the query, key, and value projection matrices of each attention layer of the base model, the original parameters are frozen, joint fine-tuning training is performed, and a unit-specific fine-tuned large language model is generated and deployed. In the inference stage, the electronic documents to be organized are received and the text is extracted. The instructions of the three tasks are combined with the text to form a comprehensive prompt word. The model is invoked to perform one inference to generate a JSON result containing the organization identifier, retention period code, security classification code, and importance score. After four levels of progressive parsing and field-level verification, the result is written to the database in one go. This invention achieves the simultaneous output of three internally consistent organization results in a single inference, reducing costs and improving accuracy.

The invention discloses a data circulation method and device, equipment, a medium and a product, relates to the technical field of data processing and block chains, and can be applied to the field of financial science and technology. The method comprises the following steps: carrying out mutual trust adaptation with a data receiver through a spatial intercommunication gateway; after the adaptation is completed, calling a circulation smart contract of the target data product from the block chain network; determining a circulation constraint of the target data product according to the circulation smart contract; wherein the circulation constraint comprises a use purpose, an access range, an operation authority and a retention period; performing privacy calculation on the target data product to obtain a service available result; and sending the service availability result to the data receiver based on the circulation constraint. According to the technical scheme, the controllability and safety of data product circulation are improved.

A method includes generating, in accordance with a data protection parameter set, a snapshot of data maintained by a storage system, the data protection parameter set specifying a retention duration for the snapshot; detecting, subsequent to the generating the snapshot, an anomaly associated with a file written to one or more storage structures included in the storage system; transmitting, a copy of only a header of the file and only a portion of a payload of the file to a data analysis system remote from the storage system, the data analysis system configured to perform a corruption analysis of the file; performing, based on the corruption analysis of the file, an operation with respect to the file; and modifying, based on the detecting of the anomaly and on the corruption analysis, the retention duration for the snapshot.

This application provides a cloud-based method and system for efficient processing of meteorological lightning monitoring data. The method includes: assessing the warning importance of lightning monitoring data; dividing a local data cache into a first logical region and a second logical region; storing high-importance lightning monitoring data in the first logical region and setting a longer retention period; storing low-importance lightning monitoring data in the second logical region and setting a shorter retention period; initiating data eviction processing when the local data cache occupancy rate reaches a preset threshold; prioritizing data eviction from the second logical region; if clearing the second logical region still cannot meet storage requirements, then data is evicted from the first logical region, with the eviction based on the warning importance of the data. This application effectively avoids the loss of critical lightning data.

This invention discloses a method for generating time-lapse snapshots of surveillance videos based on adaptive frame extraction according to scene changes, belonging to the field of video surveillance and streaming media processing technology. The method includes: acquiring a snapshot strategy containing time periods, a baseline interval, a difference threshold, a mandatory retention period, a window length, and a quality threshold; receiving a real-time bitstream or reading intermediate files of keyframes stored on the storage side; calculating the inter-frame difference using a multi-scale structural similarity algorithm on the luminance channel and determining the frame extraction interval by combining it with the static duration, and marking candidate frames; performing quality checks based on sharpness, brightness, contrast, stripes, and noise, and discarding unqualified frames; retaining a fallback frame when the mandatory period is reached; and encoding in segments according to the time window and assembling and outputting the data at the end of the time period. This method unifies online and offline processing links, retains key information, and reduces redundancy and latency.

Enhancing data privacy in parquet data file systems. One self-purging database server comprises a memory storing executable instructions, and an electronic processor communicatively coupled to the memory, the electronic processor configured to obtain a columnar storage file and a timestamp index file associated with the columnar storage file, wherein the columnar storage file includes one or more time-indexed data records, a time-indexed data record including a creation timestamp and a retention period, and perform an integrated garbage collection on the columnar storage file including automatically deleting one or more expired records in the columnar storage file based on the timestamp index file and retention periods of the one or more expired records.