212 results about "Storage security" patented technology

The invention provides an unstructured data storage optimization method and system based on information entropy and a block chain, and relates to the technical field of data storage, and the method comprises the steps: building a block chain storage network to obtain data, recognizing redundant data through dimension reduction, mapping and hyperplane construction, and removing the redundant data based on fuzzy similarity. The to-be-stored data is partitioned, the access frequency is calculated, the consistent Hash algorithm is executed to determine the storage position, the access index and the verification sequence are established, and the data integrity verification is executed, so that the data access efficiency can be improved, and the storage security can be enhanced.

The invention discloses a firmware-level security protection system and method for a hard disk of industrial automation equipment, particularly relates to the technical field of storage security protection, and is used for solving the problem of abnormal tampering of firmware. According to the method, instruction calling, interface access and interrupt timestamps are collected in a sliding window, a behavior sequence set containing an instruction sequence, calling frequency and sensitive marks is constructed and compared with a reference sequence library, firmware-level judgment on operation abnormity, access border crossing and tampering risks is triggered based on a transfer relation and an offset index, and the operation safety is improved. The method comprises the following steps of: dividing firmware into a control domain, a data domain and a configuration domain, realizing minimum permission and dynamic isolation by relying on state and permission mapping and permission register and interface shielding, forming a flow from detection to isolation to closed loop recovery by combining protected segment integrity verification and local copy hot switching, writing an exception into a protected loop log area for threshold updating, and performing protection on the protected loop log area. And the tamper-proof performance, the operation safety and the maintainability of the firmware are integrally improved.

The invention relates to a big data security management system, and provides a security management system covering a whole life cycle aiming at the problems of untrusted source end, link leakage, centralized storage of single points, extensive authorization, disposal lag and the like. The system comprises an acquisition security module, a transmission encryption module, a storage security module, an access control module, a threat detection module, a situation awareness module, a traceability module and an emergency response module. A session basis is generated through multi-factor authentication, a dynamic key is derived according to time slices, and data fragments are encrypted one by one; distributed storage is adopted, and metadata is chained to be non-tampered; implementing fine-grained authorization by taking the attribute as a core; utilizing a sequence model linkage knowledge graph to identify abnormity and calculate a risk index; and when the threshold is exceeded, automatically reconstructing a log chain and executing isolation, alarm or recording. According to the system, trusted acquisition, confidential transmission, traceable storage, fine authorization and automatic disposal are realized, and the safety and compliance are remarkably improved.

The invention relates to the field of computer security, and discloses a data storage security protection method and system based on a solid-state hard disk, which comprises the following steps: identifying the inherent physical difference of a flash memory chip in the solid-state hard disk so as to calculate the read-write time sequence micro-deviation of the solid-state hard disk; performing hash operation on the device root key and the unique identifier of the controller corresponding to the solid state disk to obtain a bound master control key; generating a temporary encryption key of the write-in operation to encrypt plaintext data of the host system to obtain ciphertext data; writing the ciphertext data into a flash memory physical page corresponding to the physical page address to obtain a ciphertext physical page address; when the access mode is a hostile attack mode, secretly updating the ciphertext physical page address into a new physical page address, and deleting the ciphertext physical page address; and when the access mode is a secure access mode and the verification key is consistent with the bound master control key, normal loading and data access requests of the solid state disk are allowed. According to the invention, the security and integrity of data storage can be improved.

The invention relates to the technical field of intelligent construction, and discloses an intelligent construction collaborative management platform and method based on digital twinning, and the method comprises the steps: firstly obtaining the practical operation data of a target engineering machine, analyzing the data safety level of the practical operation data to generate a distributed storage path, extracting storage node identifiers in the path, and deploying the storage node identifiers to a digital twinning platform; analyzing a node storage state index, querying a data backup demand and constructing a storage backup framework; then identifying an access request of the storage security framework, verifying a user identity, calculating an authority level index, analyzing an access range, and determining a platform multi-layer access regulation; then monitoring a permission change event, collecting a log, identifying a risk access behavior and calculating an access risk index; and finally, adjusting node encryption configuration according to the risk index, identifying an authority control key, and generating a self-adaptive security policy of the target engineering machinery on the platform. According to the invention, the integrity and safety of construction management can be improved.

The invention discloses a multi-level security protection method taking a persistent memory as a core level, and relates to the technical field of computer storage security. The method comprises the following steps: constructing a cross-level security abstract model, and implementing NUMA perception encryption on the basis of the cross-level security abstract model, including a localization encryption strategy and an intelligent key distribution system; based on a cross-hierarchy security abstract model and NUMA perception encryption, dynamic key hierarchical derivation is realized, a tree topology structure is adopted in the derivation process, generation of a root key and sub-keys of each hierarchy depends on a hierarchical key derivation engine, and cross-node synchronization is completed through an intelligent key distribution system during key cascade update; a side channel attack resisting system is constructed, support for CXL equipment is matched with establishment of a CXL metadata consistency group in NUMA perception encryption, and the security of data transmission and storage of the CXL equipment is guaranteed. According to the invention, the encryption performance is obviously improved.

The invention provides a warehouse management method for emergency materials of a smart station, and the method comprises the steps: obtaining a production date, an expiration date and an initial environment parameter through the analysis of an electronic tag of the emergency materials, and generating a dynamic temperature suitable range based on the nonlinear mapping of the expiration date and an initial temperature value; generating a dynamic humidity suitable range based on a correlation model of the production date and the initial humidity value; the overlap ratio of the remaining days of the shelf life and the temperature suitable range is calculated to serve as a first priority factor, a second dynamic allocation factor is generated in combination with the real-time load rate of the warehouse, and a material allocation matrix is generated through integration of a priority fusion algorithm; according to the method, target warehouse environment parameters are monitored in real time, a multi-stage adjustment strategy is triggered when the target warehouse environment parameters exceed a suitable range, a parameter self-learning engine is started when verification fails, intelligent regulation and optimization of the storage environment are achieved, and the emergency material storage safety and management efficiency are improved. The method can dynamically adapt to the material characteristic change, and optimizes the warehouse environment control precision.

The invention discloses a power transmission line image video analyzing and monitoring system, and relates to the field of power transmission line monitoring. The multi-modal acquisition module adopts a 4K camera, a thermal infrared imager and the like to acquire data and perform time-space synchronization; the edge processing module operates YOLOv6s to detect defects and upload compressed features; the cloud analysis module analyzes and predicts by means of 3D-CNN and digital twinning technologies; the early warning linkage module gives a multi-stage alarm and dispatches a work order; the storage security module encrypts the storage data. The power transmission line is intelligently monitored, defects are detected in a multi-mode mode, and real-time early warning and quick response are achieved; the cloud edge collaboratively improves the operation and maintenance efficiency and shortens the work order processing period; reliable operation in a complex environment reduces storage and annual average operation and maintenance cost, and ensures power grid safety.

The invention discloses a mobile storage security access control system and method based on a microkernel architecture, and relates to the technical field of data storage security. The system comprises a host end and a mobile storage device end. And the host end is provided with a special device driver and is used for sending the generated authentication data and the storage access instruction to the mobile storage device end through the virtual storage front-end device created by the special device driver. And the mobile storage device end is deployed with an operating system based on a microkernel architecture, creates a virtual storage rear-end device corresponding to the virtual storage front-end device, and is used for performing host identity and capability verification on the authentication data received by the virtual storage rear-end device, and receiving and executing a storage access instruction from the host end after the verification is passed. Communication connection is established between the virtual storage front-end device and the virtual storage rear-end device through a USB bus. According to the system, active and fine-grained power control of access to the mobile storage equipment end is realized.

The invention relates to the field of distributed storage, in particular to a method for safely transmitting and storing file fragments in a distributed storage system, and solves the problem that data are tampered or leaked in the transmission, storage and decryption process in the existing distributed storage field. The method comprises the following steps: step 1, data fragmentation; 2, data are uploaded before being uploaded; step 3, storing; 4, encrypting file link generation and forwarding; and 5, receiving and decrypting the file. According to the method, fragmented data, secret keys and parameters of each storage node in the distributed storage system are mastered by multiple parties, and encryption and decryption processing of organization, transmission and storage of the fragmented data is realized by adopting a stream encryption and parallel processing mode; the transmission and storage security of the file in the distributed system is effectively guaranteed, and the file is prevented from being tampered.

The invention discloses an automobile part data life cycle safety test system, and relates to the technical field of automobile part data safety. Comprising a data classification and label module, a storage security test module, a transmission security test module, a use and destruction security module, a compliance and risk assessment module, a full-link linkage test engine, a digital twin drive module and an adaptive test process engine. The method has the advantages that data classification, storage, transmission, use and destruction links are dynamically connected in series by a directed acyclic graph through an event-driven workflow orchestrator of a full-link linkage test engine, and fault injection and risk evolution deduction are executed; a three-dimensional twin space link risk propagation path comprising a physical entity model and a data flow topology is constructed by means of a digital twin driving module, full-link detection of cross-link vulnerabilities such as'mismatching of classification labels and encryption strategies' 'permission combination attack ''and the like is realized, and the systematic risk omission ratio is reduced.

The invention provides a number card distribution system based on message middleware, relates to the field of data management, and solves the technical problem of high data storage security risk of an existing number card distribution system. The system comprises a message center module which is used for processing asynchronous communication and data transmission in the system by adopting a distributed message middleware cluster; the data security module is used for managing distribution data of each region by adopting a data fragmentation storage mechanism; and the demand prediction module is used for predicting the number card demand quantity of the next period according to the sales data and the demographic data of each region, and guiding the formulation of a sales strategy of the next period. The method and the device are used in the whole-process management process of the number card distribution service.

The invention provides an encrypted data storage and key management protection method for a blue-ray disc, which relates to the technical field of data storage security and comprises the following steps of: performing multi-frequency data block division by extracting access time sequence characteristics of original data, calculating a multi-dimensional entropy value to determine an encryption algorithm parameter and a key; and extracting physical characteristic signals of the blue-ray disc to obtain sector defect distribution and evaluate reliability, thereby realizing optimal mapping storage of encrypted data and a multi-dimensional reliability sector group. According to the invention, the data storage security is effectively improved, the key management mechanism is optimized, and the physical characteristics of the blue-ray disc are fully utilized to enhance the data protection capability.

The invention provides an airborne high-speed image hierarchical compression and encrypted storage method and system, electronic equipment and a storage medium, and relates to the technical field of airborne image processing and data security storage. The method comprises the following steps: acquiring an airborne high-speed image sequence, synchronously monitoring surface pneumatic pressure pulsation data of an aircraft, converting the surface pneumatic pressure pulsation data into a deformable mirror surface group curvature control signal, adjusting mirror surface deformation parameters to compensate optical path wavefront distortion, and generating a stable image; air vortex characteristics are extracted to calculate an intensity distribution diagram, turbulence levels are divided, and corresponding compression strategies are adopted; extracting vortex phase features of each level to generate a dynamic key, and encrypting the layered compressed data stream; according to the invention, layered high-efficiency compression and dynamic encryption storage of airborne high-speed images in a turbulent environment can be realized, and data processing effectiveness and storage security are guaranteed.

The invention discloses a satellite data storage safety monitoring method, system and device and a medium, and belongs to the technical field of safety monitoring, and the method comprises the steps: collecting satellite data, preprocessing the satellite data, generating a chaotic mapping initial seed according to the preprocessed satellite data, and storing the chaotic mapping initial seed in a database; setting a mapping parameter based on the chaotic mapping initial seed and generating a key, and encrypting an access path by using the key; storing the satellite data and the encrypted access path to a database, calculating a stability index based on the encrypted access path, and performing abnormality judgment according to the stability index; feedback data in the safety monitoring process are collected, the mapping parameters are adjusted based on the feedback data, and the adjusted safety monitoring result is displayed through a visual interface. According to the method, the security of data encryption is improved, the capability of detecting and responding to abnormal behaviors in the storage process is enhanced, and the anti-cracking capability of the encryption method is improved.

The utility model discloses a portable hard disk bridging encryption circuit and equipment based on quantum random numbers, and belongs to the technical field of hard disk bridging encryption. According to the portable hard disk bridging encryption circuit based on the quantum random number, data of an upper computer reaches the SoC storage security chip through the upper computer interface, the SoC storage security chip obtains a secret key through the quantum random number generator and encrypts the data, and finally the encrypted data is written into a hard disk through the hard disk interface. All the data written into the hard disk can be completely encrypted, so that all the data written into the hard disk are ciphertexts, and the encryption safety of the mobile hard disk is improved. Besides, the circuit is in pluggable connection with the upper computer through the upper computer interface and in pluggable connection with the mobile hard disk through the hard disk interface, all the interfaces are connected when encryption is needed, the mobile hard disk skips the circuit to be directly connected with the upper computer when encryption is not needed, and the flexibility of hard disk encryption design is improved.

The invention discloses a data security defense method and device for a financial management system, and relates to the technical field of data security. The method comprises the following steps: performing hierarchical encryption on financial data of a client by using a hierarchical encryption mechanism, and uploading the obtained hierarchical encrypted financial data to a distributed network of a financial management system for storage; using a data security defense engine of the financial management system to collect multi-source monitoring data of the client accessing the financial management system, and performing attack detection on the multi-source monitoring data to obtain an attack detection result; and generating a data security defense strategy by using a defense strategy generation model of the financial management system according to the attack detection result, and adjusting a data security defense mechanism of the financial management system according to the data security defense strategy. The problems that in the prior art, data transmission and storage security is insufficient, the attack detection capacity is limited, and defense strategy response is lagged are solved.

The invention discloses a logistics warehouse cargo storage method and system and a storage medium, relates to the field of logistics warehouse cargo storage, realizes intelligent warehouse management through multi-module cooperation, remarkably improves inventory monitoring and cargo scheduling efficiency, and improves the cargo scheduling efficiency based on video image recognition and contour matching technologies in combination with database information. Accurate inventory data is generated in real time, unregistered goods are effectively identified, manual inventory errors are reduced, goods flow indexes are quantified through a dynamic time decay model, and goods turnover rules are accurately reflected by combining weighted analysis of carrying proportion and quantity, so that data support is provided for scheduling decision making. Multi-dimensional factors such as environmental parameters, transportation distance and storage capacity are integrated, a callout-storage staged optimization model is established, environmental adaptability, storage safety and scheduling rationality are organically combined, manual intervention is reduced, the warehouse turnover efficiency is improved, the storage cost is reduced, and a full-process closed-loop intelligent warehouse management system is formed.

The invention discloses a key management method and a storage device, and belongs to the field of storage security, the method comprises the following steps: deriving different types of key fragments from an authentication key according to different preset classification strategies, and respectively storing the different types of key fragments in different storage partitions corresponding to the preset classification strategies; receiving a data access request, wherein the data access request comprises data index information; based on different preset classification strategies, reading candidate key fragments matched with the data index information from the different storage partitions respectively, verifying the legality of the candidate key fragments matched with the data index information, and determining the candidate key fragments passing the verification as effective key fragments; and aggregating the effective key fragments of different types to generate the authentication key, and obtaining target access data of the data access request through the authentication key. According to the invention, the security of key storage and the flexibility of key management can be effectively improved.

The invention belongs to the field of data security, and particularly relates to a time sequence encrypted storage and expired crushing method for monitoring data of external equipment, which comprises the following steps: acquiring a monitoring data stream of the external equipment, segmenting the monitoring data stream according to a preset time window, and deriving a unique encryption key for each segment; encrypting and storing the corresponding window data by using the key to obtain a time sequence encrypted data block; when the conjoint analysis request is responded, a specified window secret key is distributed to a calculation party according to a preset authorization strategy, so that the calculation party executes secure multi-party calculation on the window data block; meanwhile, the life cycle of the data block is monitored in real time, data is automatically erased when the data block expires, a corresponding secret key is destroyed, and a shredded verifiable evidence is generated and uploaded to a storage chain constructed by combining a root secret key of the general data platform and secret keys of all calculation parties with a block chain; according to the application, data storage security and conjoint analysis compliance are guaranteed, the risk of residual keys is avoided, the traceability of crushing operation is ensured, and the credibility of cooperation of multiple participants is improved.

The invention discloses a real-time active early warning system and method for a network security situation, and aims to solve the problems that an existing early warning system is insufficient in unknown threat coverage, large in early warning time delay, weak in encrypted data processing capability and poor in response collaboration. Multi-dimensional data acquisition, anti-quantum encryption protection, double-engine intelligent analysis, dynamic risk prediction and a cloud network end collaborative response mechanism are integrated, and full-period perception and active early warning of a network security situation are realized. The system adopts a GAN to expand a threat sample space, combines attack chain time sequence analysis to construct a dynamic early warning model, can accurately identify known threats and unknown variants, and shortens early warning response time delay. And meanwhile, an anti-quantum encryption technology is introduced to guarantee data transmission and storage security, and system performance is optimized through adaptive resource scheduling. According to the method, the initiative and timeliness of network security defense are effectively improved, and the method is suitable for security protection requirements of multiple scenes such as government and enterprise, finance and key information infrastructures.

The invention discloses a key management method, an electronic device, a storage medium and a program product, and relates to the technical field of data storage security and key management. According to the application, when a data leakage event exists, a key version, an operation main body and a timeline corresponding to leaked data can be quickly positioned according to blockchain evidence storage data, so that the data leakage is avoided; the evidence obtaining time is greatly shortened, and the processing efficiency of data leakage events is improved; authority verification is achieved through the predefined strategy table, the efficiency of dynamic verification of the multi-tenant authority is improved, and the risk of authority retention is reduced; the integrity and authenticity of a key operation record are guaranteed by utilizing the non-tampering characteristic of the block chain, and illegal access of a tenant to key data is avoided through an independent block chain storage area and authority control; by associating the key version, the I / O operation and the tenant information, the responsibility subject can be determined when an abnormal condition occurs, and the problem that the responsibility definition of the log system is fuzzy is solved.

The invention relates to the technical field of secret communication, and provides a blockchain-based titanium material quality certificate generation method, which comprises the steps of reading to-be-stored quality certificates of a plurality of titanium materials of a manufacturer through a blockchain; the process complexity and the process specificity of the current titanium material are obtained, and the process privacy of the current titanium material is comprehensively obtained; a quality inspection deviation factor of the current titanium material is obtained, and the certificate privacy degree of the current titanium material is obtained; the correction privacy degree of the current titanium material is obtained through adjustment; obtaining a real-time storage safety coefficient of the current titanium material quality certificate; the real-time storage safety coefficient is adjusted to obtain the storage safety coefficient, and the certificate encryption priority of the current titanium material is obtained; and obtaining the encryption parameter demand degree of each titanium material so as to obtain the final encryption round of each titanium material, and carrying out encryption and uplink storage on a quality certificate of the titanium material. The invention aims to solve the problem that a leakage risk is generated as related data of a titanium material is not considered in an encryption generation process of a titanium material quality certificate by a block chain.

The invention relates to the technical field of intelligent warehousing, and discloses an artificial intelligence-based warehouse management system, which comprises a cargo information acquisition module, an intelligent warehousing planning module, an automatic carrying scheduling module, a dynamic inventory management module and an abnormity early warning module, the cargo information acquisition module is used for acquiring basic attribute information, position information and state information of cargoes; and the intelligent storage planning module is electrically connected with the cargo information acquisition module, and is used for constructing a warehouse layout optimization model and planning a cargo storage position based on the cargo attribute information and the warehouse space data. Through the intelligent warehouse planning module, a reinforcement learning algorithm is adopted, the cargo turnover rate, the storage safety and the space utilization rate are taken as optimization targets, different storage strategies are simulated, iterative training is carried out, and an optimal warehouse layout scheme is generated, so that compared with a traditional fixed rule planning mode, cargo characteristics and warehouse demand changes can be dynamically adapted; the warehouse space utilization rate is effectively improved, and storage resource waste is reduced.

The invention relates to a refrigeration house intelligent monitoring method, system and equipment based on artificial intelligence and a medium. The method comprises the following steps: acquiring a time sequence operation parameter set of the refrigeration house, performing abnormal mode identification on the time sequence operation parameter set to generate an abnormal event identifier, performing weight fusion calculation on multi-source fault evidence based on the abnormal event identifier to generate a fault priority sequence, performing quantitative calculation on a temperature sequence to generate a dynamic risk coefficient, and calculating the dynamic risk coefficient according to the dynamic risk coefficient. And optimizing a refrigeration equipment operation strategy based on the fault priority sequence and the dynamic risk coefficient to generate an equipment control instruction set. By adopting the method, accurate monitoring of the operation state of the refrigeration house and automatic diagnosis and sorting of faults can be realized, the operation strategy of refrigeration equipment is dynamically adjusted, and the operation efficiency of the refrigeration house and the cargo storage safety are improved.

The invention, which relates to the technical field of the data processing system, discloses a block chain-based green power consumption and storage data processing system comprising an edge preprocessing module, a block chain evidence storage verification module, an energy storage health management module, a multi-scene prediction module, a cross-chain authority management module and a federal cooperative processing module. The modules realize data interaction through a distributed node network; and the block chain evidence storage verification module comprises a lightweight consensus unit and a data uplink unit. According to the method, the edge node is screened as the verification node through the lightweight consensus unit of the block chain evidence storage verification module, only the data of the adjacent edge node is limited to be verified, and the efficient verification and credible evidence storage of the power data are realized in combination with the standardized packaging and distributed storage of the data uplink unit. The power data uploading efficiency and the storage security can be improved, so that the problems of heavy node verification burden and non-uniform data storage formats in traditional block chain evidence storage can be solved.

The invention relates to the technical field of hazardous waste early warning management, and particularly discloses a hazardous waste full-life-cycle early warning and management method based on multi-source data, which constructs a hazardous waste full-life-cycle management system by providing the hazardous waste full-life-cycle early warning and management method based on the multi-source data. Digital identities are given to the hazardous wastes, so that accurate information management from a warehousing source is realized; early recognition and intelligent intervention of temporary storage environment risks are realized through a multi-source sensor data fusion and hierarchical response mechanism; the core of the method is that based on real-time data, single or multiple hazard sources can be intelligently analyzed and positioned, reaction paths and linkage risks are dynamically simulated, and a global knowledge base is continuously updated. The system finally forms a closed loop with autonomous learning and optimization capabilities, the management mode of hazardous wastes is improved from passive disposal to active early warning and scientific decision, and the storage security and the management intelligence level are remarkably improved.

The invention discloses a data security storage protection device and system. The data security storage protection device comprises a fragmentation storage module, a sensing distribution module, a security migration module and a terminal defense module, the invention relates to the technical field of data security storage protection. According to the data security storage protection device and system, after sensitivity analysis is carried out on data, fragmentation processing is carried out on medium-risk data and high-risk data, the data processing amount is reduced, main fragments, redundant fragments and bait fragments are stored separately through real-time security scoring on storage nodes, and the data security storage protection device and system are realized through setting of the bait fragments and confusion of attackers. The data storage security is improved, fragment data migration is carried out in cooperation with real-time security scores, the risk that high-level sensitive data are stored in low-level storage nodes is avoided, and dynamic defense adjustment of the fragment data is achieved through calculation of fragment entropy values, so that the high processing efficiency of data storage is guaranteed, and the data storage efficiency is improved. The anti-cracking capability of data storage can be improved.

The application relates to a data hierarchical storage system and method based on a magneto-electro-optical medium, and solves the technical problems that, in order to ensure management efficiency, existing database management data cannot fully utilize the storage security advantages of optical storage media, and source data cannot be decoupled from database dependence. The database management system comprises a record splitting module for splitting records in a database in units of fields, and a record transfer module for forming split field file blocks corresponding to splitting requirements. The optical disc library management system comprises a transition area establishing module for establishing a shared storage area, a file block splitting module for forming sub-file blocks, and a file block optical disc storage module for storing the sub-file blocks to optical discs. When database technology is used to manage key evidence type data assets, the storage security of the data assets is improved while the management efficiency is balanced, data loss caused by database hidden dangers is avoided, and the use approach and application independence of the data assets are further improved.

The invention discloses a data modeling system based on research data, which relates to the technical field of data modeling and comprises a research data acquisition module, a research data cleaning and conversion module, a research data encryption module, a model building, screening and optimizing module and a modeling algorithm library. According to the method, dynamic model construction algorithm selection can be carried out according to research data, model construction processing is carried out, the flexibility and diversity of research data modeling attachment forms are improved, the research data are finely analyzed, reasonable screening of the model construction algorithms can be carried out according to specific data characteristics, and the model construction efficiency is improved. According to the method, the intelligence and coordination of model optimization processing are powerfully supported and guaranteed, higher convenience is also provided for calling and checking of subsequent models, encryption processing is performed on the structured data set by using the AES symmetric encryption algorithm, the attention on data transmission and storage security is improved, and the method is suitable for being used in the field of data transmission and storage. And reliable guarantee can be provided for safe storage of data.