127 results about "Storage security" patented technology

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 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 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 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 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 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 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.

The invention relates to an organization member information acquisition management system, which comprises a self-adaptive multi-mode acquisition unit, a holographic correlation modeling unit, a predictive dynamic updating unit and a heterogeneous encryption storage unit, the self-adaptive multi-mode acquisition unit is used for starting voice acquisition after verifying identity through voiceprint recognition, switching to an image interaction mode when silence occurs, synchronously docking the wearable equipment to acquire physiological parameters, and pausing acquisition when abnormity occurs; the holographic correlation modeling unit constructs a three-dimensional holographic information model, and uses a quantum particle swarm optimization algorithm to screen strong correlation information combinations; the predictive dynamic updating unit establishes an information attenuation prediction model, pushes an updating prompt in advance and generates a pre-filling template; the heterogeneous encryption storage unit adopts a space-time fragmentation encryption method to store information. The invention aims to solve the problems of single information acquisition mode, low multi-source data association degree, information updating lagging and insufficient data storage security of a traditional organization member information acquisition management system.

A system and method for enhancing data storage security in cloud environments using multiple gateway endpoints. The system includes a cloud data platform with a plurality of networks, each associated with a different gateway endpoint. Each gateway endpoint has a respective gateway endpoint tag. The method involves creating networks and corresponding gateway endpoints, configuring each gateway endpoint to enable traffic for sessions associated with the gateway endpoint tag, and assigning execution nodes to networks with session tokens that include the gateway endpoint tag. This setup ensures that only sessions with the correct tag can access data storage, reducing the risk of unauthorized data exfiltration.

The invention relates to the field of data security storage, in particular to a data security storage method of an artificial intelligence data platform. The method comprises the following steps: constructing a data security map based on multi-dimensional security information acquired by an artificial intelligence data platform, performing security risk grading on data according to the data security map, generating security grading labels, and constructing a grading encryption storage strategy; according to the hierarchical encryption storage strategy and the security hierarchical label, generating a polymorphic security snapshot and a temporary snapshot key, packaging the polymorphic security snapshot through the temporary snapshot key, and constructing a security storage index table and a polymorphic snapshot index; based on the security storage index table and the polymorphic security snapshot, performing binding with the task context information, and generating a security access log; and in combination with the data security map, the polymorphic snapshot index and the security access log, the access behavior of the polymorphic security snapshot is analyzed, and a hierarchical encryption strategy is adjusted. According to the invention, the data storage security can be improved.

The invention provides a data security storage method and system based on a cloud disk, and relates to the technical field of security storage, and the method comprises the steps: obtaining a user access request, executing multi-factor authentication, generating a dynamic key seed based on authentication process data, deriving a dynamic encryption key, and dividing target data into a plurality of data fragments; and for each fragment, generating a fragment encryption key for encryption based on the position information and the dynamic encryption key of the fragment, storing the encrypted fragments to the cloud, and establishing a mapping relationship among the user identifier, the authentication moment and the storage position. According to the method, the cloud disk data storage security is improved, and fine-grained dynamic encryption protection is realized.

The present application relates to the field of data processing, more particularly, the present application relates to a kind of based on distributed financial data storage method and system, method includes: obtaining the financial transaction data stream to be stored and is divided to obtain multiple data blocks;For single data block, the distribution variation degree of the data block is calculated, based on distribution variation degree, respectively determine the weighted probability for constructing compression encoding table, encryption round of encryption algorithm and replication factor in distributed storage system, and based on the three key parameters determined in sequence, data block is compressed, encrypted and stored;Compression, encryption and storage are carried out to all data blocks, thus complete the distributed security storage of the financial transaction data stream.The present application controls compression, encryption and storage link by unified index linkage, while improving the anti-statistical analysis ability of encrypted data, realizes the adaptive balance of storage security and resource cost.

The present application relates to a kind of organization member information collection management systems, including adaptive multi-modal acquisition unit, holographic correlation modeling unit, forecast formula dynamic updating unit and heterogeneous encryption storage unit;Adaptive multi-modal acquisition unit starts voice collection after identity is verified by voiceprint recognition, switches to image interaction mode in silence, synchronously interfaces wearable equipment and collects physiological parameters and pauses collection when abnormal;Holographic correlation modeling unit constructs three-dimensional holographic information model, and strong correlation information combination is filtered using quantum particle swarm optimization algorithm;Forecast formula dynamic updating unit establishes information attenuation prediction model, and generates pre-populated template by pushing update reminder in advance;Heterogeneous encryption storage unit stores information using space-time slicing encryption method, the purpose of the present application solves the problems that traditional organization member information collection management system is single in information collection mode, low in multi-source data correlation degree, information update lags behind and data storage security is insufficient.

The application belongs to the field of data security, and particularly relates to a time-sequencing encryption storage and expiration pulverization method of external device monitoring data, comprising: obtaining an external device monitoring data stream, segmenting according to a preset time window and deriving a unique encryption key for each segment; encrypting the corresponding window data with the key and storing to obtain a time-sequencing encryption data block; in response to a joint analysis request, distributing a specified window key to a calculation party according to a preset authorization strategy for it to perform secure multi-party computation on the window data block; simultaneously, monitoring the data block life cycle in real time, automatically erasing the data and destroying the corresponding key when expired, generating a pulverization verifiable evidence, and uploading to a storage chain constructed by a general data platform root key and each calculation party key combined with a blockchain; the application guarantees data storage security and joint analysis compliance, avoids residual key risk, ensures pulverization operation traceability, and improves multi-party cooperation credibility.

The invention discloses an Internet of Things data management system based on a block chain. An operation method of the system comprises the following steps: step 1, deploying a block chain node and establishing a cloud server; 2, uploading the data collected by the Internet of Things sensor to a block chain for storage and authorization; 3, establishing an index to realize the query of the Internet of Things data; 4, data analysis and intelligent decision making are carried out on the Internet of Things data, and the equipment management module is used for managing the identity and authorization mechanism of the Internet of Things equipment so as to ensure the safety and traceability of the equipment; the block chain data management module is used for storing the data collected by the Internet of Things device on a block chain and providing the security and non-tampering of the data; the data analysis and application module is used for analyzing and mining the data and providing decision support and service optimization suggestions; the method has the advantages of being high in data storage safety and good in reliability.

The invention discloses an electro-tricycle Bluetooth binding method and system, belongs to the technical field of electro-tricycle intelligent control, effectively improves the accuracy of data association of a production end, establishes'Bluetooth MAC address-equipment SN code-frame number 'three-dimensional mapping data through double verification of the production end, and improves the accuracy of data association of the production end. By combining station-level secondary verification and a production line sound-light alarm mechanism, data mismatching caused by manual wrong scanning and cross-station operation, AES-256 encrypted storage and cloud multi-access control are completely eradicated, data transmission and storage safety is guaranteed, the problems of single-dimension association and data leakage and tampering are solved, the safety of the whole process of a binding link is enhanced, and the safety of the whole process of the binding link is improved. The cloud triple verification resists illegal requests, the dynamic secret key is embedded into a frame number fragment and a timestamp, and the alarm triple verification and a failure dormancy mechanism are matched, so that hidden dangers such as secret key counterfeiting and multiplexing, communication defense line building through BLE connection and SN code secondary verification, open type pairing cracking and weak secret key security are avoided.

The invention discloses a computer data storage security management method and system based on deep learning, and the method comprises the steps: extracting a local mode of multi-modal data through a CNN (convolutional neural network), outputting a spatial-temporal feature vector, carrying out the time-sequence modeling through an LSTM (long short-term memory) network, generating a dynamic behavior feature, outputting a time-sequence feature vector, and carrying out the storage security management of the multi-modal data. Extracting equipment association features based on a GNN graph neural network, and outputting an equipment association vector; performing weight distribution on the spatial-temporal feature vector, the time sequence feature vector and the equipment association vector through a multi-head attention module, and outputting a risk scoring index through a full connection layer; and judging whether the current operation is a high-risk behavior based on the risk scoring index, if the current operation is the high-risk behavior, performing anomaly analysis through a clustering algorithm, identifying an outlier deviating from a normal mode, and dynamically adjusting a protection measure according to an anomaly result. And the occurrence probability of security incidents such as data leakage and equipment failure is effectively reduced.

The application relates to a high-speed data acquisition and storage method, system, device and medium, and belongs to the technical field of signal acquisition and data storage. The method comprises the following steps: acquiring at least one high-voltage probe pulse signal and 24 switch probe signals in real time; attenuating the high-voltage probe pulse signal to the input threshold range of an optical coupling device, and performing signal conversion and electrical isolation to generate a TTL level signal; performing micro-capacitance charging and discharging detection on the switch probe signal to obtain switch probe timestamp data; encapsulating the TTL level signal, the switch probe timestamp data and 64-bit time reference data into a data frame, and transmitting the data frame through a main-backup dual-fiber channel in parallel; performing integrity check on the data frame at a receiving end, and dynamically allocating a storage physical address; responding to a host computer instruction to execute a storage data export or specified block erasing operation, and exporting a device digital signature and the storage physical address. The application can improve the data acquisition accuracy and storage security in transient events.

The invention discloses an IP-based microwave communication encryption method and system, and the method comprises the steps: generating a license source file based on a time factor according to an MAC address, an available bandwidth, a modulation mode and the like of microwave equipment, importing an AES key to be used in the equipment, encrypting the license file into which the AES key is imported in an AES / RSA mixed encryption mode, and transmitting the encrypted license file to a server; generating an encryption license; on the basis of an equipment management interface or other remote communication means with encryption characteristics, the encryption license is imported, the integrity and the validity of the license are verified, and the license is stored in an encryption chip with the encryption characteristics. According to the invention, multiple encryption means and algorithms are utilized to carry out hybrid encryption to improve the storage security of the key in the device, and an external encryption chip is combined to complete the real-time encryption of the link, so that the network modulation data is subjected to low-delay lossless full encryption to improve the security, privacy and long-term stability of the whole microwave communication system.

The present disclosure relates to attack-tolerant storage system architecture with active response methods against different forms of storage intrusion for data at-rest, under-operation and in-motion as an integrated system design. System is built upon a Storage security controller (SG nodes), USC, overlay network of DTC nodes attached to SG nodes. System security modules are deployed across various geo locations in a Wide Area Network. USC extracts system, security and storage activity telemetry data from Secure Vaults, Storage Gateways and inter-site data transfer systems to orchestrate autonomous security Operations. SG nodes create SP fragments and store in SV nodes or move it across DTC nodes upon data operations. SG nodes are connected to SV nodes which are micro-segmented, data vaults with restricted network reachability. Kill-Data-Service methods and other Active Response security methods are triggered from SG nodes or at DTC nodes, as part of AR operations, orchestrated by USC.

The invention discloses a building digital information security management method and system based on a block chain, and the method comprises the steps: collecting building BIM parameters through distributed nodes, constructing an initial information block, extracting feature vectors through a graph convolutional neural network, carrying out the verification through a block chain consensus mechanism, storing the feature vectors in a specific structure, and constructing a security evaluation model in combination with the parameters. And when the threshold value is exceeded, triggering the smart contract to execute operation. The system comprises a parameter acquisition unit, a feature extraction unit, a consensus verification unit, a chain storage unit, a security assessment unit, an intelligent contract execution unit and other associated units, and all the units operate cooperatively. By dynamically adjusting a storage and verification mechanism, building component parameters are utilized to construct a model, the integrity of feature extraction and the storage security are enhanced, the problems of insufficient feature characterization and lack of dynamic management in the prior art are solved, and the method is suitable for building full-life-cycle information security management.

This invention discloses a 3D model data management system and method for engineering surveying. This invention relates to the field of data management technology and solves the technical problems of the inability to manage multi-source data in a unified manner, increasing the difficulty of data management, and the lack of targeted data storage. This invention classifies model data according to the acquisition method and then performs secondary classification based on model version, enabling more accurate management of different types of 3D model data, improving the orderliness of data management and query efficiency. By extracting and replacing the features of modified data, it helps reduce data redundancy and better reflects the model's change process. Secondly, it selects the best-performing compatible reading format as the standard format, improving data storage and retrieval efficiency and reducing waiting time. Finally, it encrypts and stores different types of data, improving data storage security and efficiency, and better protecting the confidentiality and integrity of engineering surveying data.

The invention relates to a processing system, a related integrated circuit, a device and a method. The processing system includes a non-volatile memory including first / second memory slots configured to store first / second master passwords and a third memory slot configured to store security passwords. The password verification circuit is configured to set an overwrite signal to indicate a successful verification of the first or second master password. The protection circuit is configured to manage write access to the third memory slot configured to store the security password. The protection circuit receives a write request to write a new security password to the third memory slot. The protection circuit determines whether the secure access data indicates that the third memory slot is associated with the first or second master password, and determines whether the overwrite signal indicates a successful verification of the first or second master password. The protection circuit enables or disables writing of a new security password to the third memory slot based on whether the security access data indicates that the third memory slot is associated with the first or second master password and the overlay signal value.

The application discloses a blockchain-based sales data management method and device and electronic equipment, which comprises the following steps: performing attack damage analysis on access parameters in a blockchain to obtain a storage trend factor; performing security loss analysis on encrypted sales data stored in the blockchain to obtain a data trend factor; calculating a storage security space and determining optimized sales data; taking a storage node corresponding to the optimized sales data as an optimization object, matching and managing all the optimized sales data with the optimization object, and determining a final encryption storage strategy. The application aims to solve the problems of fragmented analysis of data security and storage security, insufficient dynamic threat response, and contradiction between migration efficiency and security in the prior art. Through collaborative evaluation of the anti-attack performance of a blockchain storage node and the security requirements of sales data, the application solves the contradiction between security and efficiency in data migration, and guarantees the single-point storage security of sales data and migration compatibility.

The invention provides a dynamic response type cloud platform for chronic disease self-management, and relates to the technical field of artificial intelligence. Comprising the steps that physiological data of a user are collected in real time through a data collection module, health management suggestions are generated through a data analysis module, medical literatures and user feedback are integrated in combination with a knowledge graph module, and a personalized health management suggestion report is provided. The user interaction module realizes real-time data display and feedback, the feedback analysis module generates a user portrait, the data packaging module generates packaged data, and the large model reasoning module quickly updates a health management suggestion report. And the cloud infrastructure module ensures data storage security and access control, so that the health management experience of the user is improved.

The invention provides an environment-controllable data stacking and storing system, and relates to the technical field of data arrangement, a vertical channel penetrating through the upper and lower end faces is arranged at the corner of each storage box, the upper end of each storage box extends upwards to form a limiting cylinder, the lower-layer limiting cylinder can be inserted into the upper-layer vertical channel, and an annular limiting ring plate is arranged in the middle of the inner wall of each vertical channel; the vertical channel is communicated with the containing cavity of the storage box through the transverse channel, an annular positioning ring plate is arranged on the inner wall of the top face of the limiting barrel, a sealing cover is assembled in the limiting barrel in a sliding mode, and the sealing cover abuts against the positioning ring plate to seal the upper ends of the channels. The space utilization rate is increased through the stacking structure, channel communication or closing is achieved through the limiting barrel and the sealing cover, the storage environment can be effectively regulated and controlled, and data storage safety is guaranteed.

This invention discloses a privacy-preserving smart camera system, comprising: an image sensor for acquiring raw image signals of a scene; a target recognition module, based on a deep learning model, for real-time detection of faces, bodies, or user-specified specific object regions in the scene; a privacy region processing module, for performing at least one privacy protection operation among blurring, pixelation, or occlusion on non-target regions detected by the target recognition module; and a data encryption module, employing an end-to-end encryption algorithm to locally encrypt the privacy-preserving video stream, ensuring data transmission and storage security. This invention, through real-time target recognition at the device side, retains only the target region image needed by the user, while non-target regions undergo irreversible processing using various adjustable privacy methods, eliminating the risk of redundant acquisition and leakage of sensitive information from the source, and solving the problem of uncontrollable image acquisition range in existing cameras.

This invention relates to the field of data storage protection technology and discloses a distributed data storage security protection system. The invention includes a data sharding and commitment unit, a high-fidelity deception shard generation unit, an obfuscated storage control unit, an immune verification and reading unit, and a distributed commitment and graph management unit. By dividing logical data objects into real data shards and constructing a Merkle tree to generate the Merkle tree root, high-fidelity deception shards are generated by extracting the structural features of the real shards. Real and deception shards are obfuscated and stored on multiple nodes. During reading, the shards and proof paths returned by multiple nodes are cross-validated based on the Merkle tree root to identify compromised nodes and trigger an immune response, including node marking, alarm broadcasting, and data self-healing. This invention can effectively respond to internal attacks and highly covert deception attacks, improving the security and reliability of the distributed storage system.

A system and method for enhancing data storage security in cloud environments using multiple gateway endpoints. The system includes a cloud data platform with a plurality of networks, each associated with a different gateway endpoint. Each gateway endpoint has a respective gateway endpoint tag. The method involves creating networks and corresponding gateway endpoints, configuring each gateway endpoint to enable traffic for sessions associated with the gateway endpoint tag, and assigning execution nodes to networks with session tokens that include the gateway endpoint tag. This setup ensures that only sessions with the correct tag can access data storage, reducing the risk of unauthorized data exfiltration.