282results about How to "Prevent unauthorized access" patented technology

The invention provides a private domain live broadcast data storage and visitor authentication method and system based on a block chain, and relates to the technical field of data storage and access control, and the method comprises the steps: collecting multi-mode biological characteristic data of a visitor, carrying out the feature extraction and fusion through a deep neural network of a space-time attention mechanism, and carrying out the authentication of the visitor; authenticity verification is carried out in combination with an adversarial generative network, a dynamic identity token is generated, and a hash value of the dynamic identity token is written into the block chain. The method comprises the following steps: performing semantic analysis on live broadcast data flow through a self-adaptive content perception model, constructing a double-layer access control matrix according to a data sensitivity level and a credibility score, performing self-adaptive fragmentation and hierarchical encryption based on federated learning, and then storing. After an access request is subjected to identity verification, an optimal edge node is selected according to access authority and network performance parameters to construct multi-path transmission, and a transmission strategy is generated based on a service quality score and a data sensitivity level. And when the service quality is lower than a threshold value, triggering the smart contract to perform fault migration.

The invention discloses a data security sharing method and system, and relates to the technical field of data security, and the method comprises the steps: receiving to-be-shared data uploaded by a data provider; fragmenting the data by adopting a biologically inspired adaptive fragmentation algorithm; generating a digital fingerprint for each fragment by using a multi-dimensional dynamic Hash algorithm; encrypting data fragments by adopting a post-quantum encryption algorithm and storing the data fragments in a decentralized network; recording the access authority, the digital fingerprint and the storage position information to a block chain security account book; when a data request is received, the access permission is verified; carrying out identity verification by adopting multi-mode biological feature recognition; after the verification is passed, obtaining a digital fingerprint and a storage position from the block chain; acquiring the encrypted fragments from the decentralized network and decrypting the encrypted fragments; verifying the integrity by using the digital fingerprint; and recombining the verified fragments to obtain complete data and returning the complete data to the requester. According to the method, efficient data sharing is realized while the data security is guaranteed, and the data value and privacy protection are effectively balanced.

The invention discloses a block chain-based digital right encryption management method and system, and relates to the technical field of digital right security management. According to the method, a unique identifier is generated for digital asset information through a Hash algorithm, data privacy is ensured by using asymmetric encryption, and asset uniqueness identification and information encryption protection are realized; according to the method, encrypted asset information is subjected to uplink evidence storage through an intelligent contract, node verification is carried out by adopting a consensus algorithm, tampering resistance, authenticity and transparency of the asset information are analyzed, authenticity of digital assets and safety and reliability of storage are guaranteed, legality of ownership transfer is verified through a consensus mechanism when the digital assets are transacted or transferred, and security and reliability of the digital assets are guaranteed. It is ensured that the transaction meets the preset compliance standard, the asset state on the block chain is updated in real time, and the security and compliance of the transaction are improved; the asset ownership history and the transaction path are tracked and recorded through the traceability mechanism of the block chain, and the traceability and transparency of the asset circulation process are realized.

The invention relates to the technical field of equipment remote control, and discloses a remote control method and system for sewage treatment equipment and a storage medium. The method comprises the following steps: performing communication encryption and identity authentication processing on a standard data packet of a sewage treatment system, and constructing an equipment communication link; performing intelligent analysis and state diagnosis processing on the data in the equipment communication link, and generating an equipment operation state report; performing control strategy generation and parameter matching processing according to the equipment operation state report, and outputting an equipment control instruction; performing hierarchical analysis and execution state monitoring on the equipment control instruction, and establishing a control feedback data link; and performing remote optimization treatment according to the data in the control feedback data link so as to realize remote intelligent control of the sewage treatment equipment. Under the condition that the sewage treatment equipment is dispersedly arranged, the real-time monitoring of the running state of the equipment and the intelligent adjustment of the process parameters are realized, and the stability of the treatment effect is ensured.

The invention discloses a customer information management system based on enterprise information security monitoring, which relates to the technical field of information security management and comprises an information management center. The information management center is in communication connection with an information collection and storage module, an information synchronization and sharing module, a safety evaluation module, a data access monitoring module, an abnormal behavior analysis module and a risk management module, and all the modules are in electric signal connection; the information collection and storage module is used for receiving client information input by a client through a client terminal. According to the method, comprehensive risk assessment and early warning are provided by analyzing a comprehensive result of security assessment, data use monitoring and abnormal behavior analysis, so that an enterprise can identify and assess potential security risks in time and formulate corresponding risk management strategies, and the risk management efficiency is improved. The division of risk early warning levels provides a quantitative risk view for enterprises to assist the enterprises in identifying and coping with potential security threats.

The invention provides an Internet of Things data processing method and system based on a block chain, and relates to the technical field of block chains, and the method comprises the steps that an Internet of Things device carries out the digital signature of an authentication request through employing a pre-stored private key, and generates a signed authentication request; the smart contract in the block chain network receives the signed authentication request, and the smart contract generates an authentication token including an authentication result, a validity period and an authorization level based on the historical authentication record, the credit score, the current timestamp and the challenge value; the Internet of Things equipment receives the encrypted authentication token and the intelligent contract address; the Internet of Things equipment configures own access authority and function limitation according to the authentication result, the validity period and the authorization level; and the Internet of Things equipment takes the intelligent contract address as an identity credential within the period of validity, and is used for subsequent secure communication and data exchange with other Internet of Things equipment or application programs.

The invention relates to the technical field of system security, in particular to a computer storage file protection system which comprises a risk analysis module, a dynamic encryption module, an authentication management module and a behavior monitoring module. According to the method, the response speed and the personalized protection level of the file security are improved by automatically collecting location, time and user information parameters and executing context risk logic analysis, the system can provide customized protection schemes for different security requirements by dynamically adjusting an encryption mechanism and the key length, and the security of the file is improved. The system is allowed to strengthen protection measures under the high-risk condition, resource use is optimized under the low-risk condition, unnecessary performance burdens are avoided, through real-time monitoring and behavior analysis, the system can recognize and respond to abnormal behaviors in time, unauthorized access and data leakage are effectively prevented, potential threats to sensitive information are reduced, and the safety of the system is improved. The overall security management capability of the system is improved, and the continuity and effectiveness of data protection are ensured.

The invention relates to an HTTP (Hyper Text Transport Protocol) short message gateway processing method and device, equipment and a storage medium. The method comprises the following steps: firstly, carrying out multi-dimensional verification on a short message sending request, and then, carrying out auditing and template matching on short message contents. And based on an audit result, considering multiple factors to select an optimal sending channel. Distributing priorities for the short messages according to user characteristics and system states, and putting the short messages into a multi-level feedback queue; and based on the type of the short message, selecting a channel and a user package to carry out charging and quota control. The short message information is stored in a distributed cache system, a sending task is processed through an asynchronous processing queue and a working thread pool, a failover and intelligent retry mechanism is implemented, and efficient and reliable short message sending is ensured. According to the HTTP short message gateway processing scheme, a large number of concurrent requests can be efficiently processed, the sending channel is intelligently selected, the sending priority is flexibly controlled, charging is accurate, and the HTTP short message gateway processing scheme has the fault transfer capability.

The invention relates to the technical field of substation control, in particular to a substation control system based on cloud control and a local area network. Comprising a substation data acquisition module, a data analysis module, a cloud cooperative control module, an edge calculation response module and a safety guarantee module. The substation data acquisition module acquires multi-dimensional data through a local area network, and the data analysis module identifies abnormal and fault modes by adopting a dynamic multivariate autoregression tree algorithm. The cloud cooperative control module performs global load scheduling by using a sparse distributed optimization algorithm, and the edge calculation response module realizes rapid local response control based on a Markov random field model. And the safety guarantee module is combined with deep learning and a multi-factor identity authentication technology to ensure data transmission safety. According to the invention, the automatic control level and the overall operation efficiency of the transformer substation are improved, and efficient, stable and safe intelligent power management is realized.

The invention relates to an access control method and system based on a zero-trust micro-gateway, and belongs to the technical field of information security. A zero-trust micro-gateway management center is established for a micro-service architecture, and a zero-trust micro-gateway strategy execution center is deployed on a container where each micro-service is located, that is, a containerized zero-trust micro-gateway firewall is established before each micro-service to realize network blocking of unauthorized access. The management center performs SPA authentication on a visitor of the micro-service, opens an authentication service port to an IP of the visitor after the SPA authentication is passed, receives an authentication request data packet of the visitor to perform access authentication, generates a dynamic access control strategy based on environment baseline data of the visitor after the access authentication is passed, and sends the dynamic access control strategy to the execution center; and the execution center controls the access of the visitor according to the access control strategy passing the verification. According to the scheme of the invention, the micro-service is hidden behind the zero-trust micro-gateway, thereby effectively achieving the hiding of the network by the application service, and improving the safety of the service.

The invention provides a safety protection algorithm design method for an industrial control system, which is used for determining a safety protection target and range, determining a key component and a business process and defining a protection boundary. And then risk assessment and threat modeling are carried out, potential threat and attack vectors are identified, and asset vulnerability and risk influence are assessed. Designing a security protection algorithm framework, selecting proper security technology and algorithm, and determining architecture and module composition. Identity authentication modules, data encryption and integrity protection modules, intrusion detection and defense modules and the like are designed in detail, and authentication modes, key management modules, integrity verification modules, intrusion detection algorithms, response strategies and the like are designed. And then realizing and integrating an algorithm, and programming in the system to realize and guarantee the cooperative work among the modules. And the performance and the security of the algorithm are optimized through a function and security test. And finally, deploying the algorithm to the industrial control system, continuously monitoring the operation state and the security situation of the industrial control system, dynamically adjusting the strategy and parameters, and effectively guaranteeing the security of the industrial control system.

The invention relates to the technical field of data storage, in particular to a security data storage system based on cloud computing, which comprises a data importance evaluation module, a data encryption storage module, a user permission dynamic adjustment module and a data access management module. According to the method, by combining the data type, quantity and size and comprehensively evaluating the data importance, the adjustment of the data access permission threshold is optimized, so that the data storage security is more accurate, the backup quantity of the distributed nodes is dynamically adjusted according to the data importance, the security and reliability of the data are improved, and the reliability of the distributed nodes is improved. Based on risk index assessment and permission adjustment of user behavior data, control over user access is enhanced, user permission is finely managed, the safety risk caused by improper user behaviors is effectively reduced, a data access key is adjusted through permission deviation assessment, stricter real-time control over data access is achieved, and user experience is improved. And the accuracy and timeliness of data storage access management are ensured.

The invention provides an RAG question setting and automatic question judging system based on a large model, and belongs to the technical field of intelligent education of natural language processing. The problems that in the prior art, efficiency is low, accuracy is insufficient, and safety and expansibility are limited are solved. An overall framework is established based on RAG, and a large model local deployment and fine adjustment module, a teaching resource vectorization storage module and a large model question setting and judging module are arranged under the overall framework; the large model local deployment and fine tuning module is used for realizing data collection and preprocessing, model selection and loading, task fine tuning, model training and verification and localized deployment and reasoning optimization; the teaching resource vectorization storage module is used for realizing data uploading and storage, data vectorization processing and data auditing and monitoring; the large model question setting and judging module is used for realizing question generation and automatic question judgment; the method is applied to wisdom education.

The invention belongs to the technical field of visual inspection, and particularly relates to a visual inspection and intelligent control system for a PCBA (Printed Circuit Board Assembly) production line, which integrates a plurality of units such as image acquisition, image processing, defect identification, data analysis, control execution, feedback monitoring, learning optimization, operation interface and safety guarantee. Real-time intelligent control and decision making on a high-speed production line are realized; through efficient image processing and a rapid defect recognition algorithm, the system can realize real-time detection and control on a high-speed production line, adopts advanced image processing and defect recognition technologies, remarkably improves the accuracy and reliability of defect detection, and improves the accuracy and reliability of defect detection through real-time feedback and continuous learning optimization. The system can automatically adjust the control strategy according to the change of the production environment, the production efficiency and the product quality are improved, illegal access and operation are effectively prevented through multi-layer safety protection measures, and stable operation of the system is ensured.

The invention belongs to the technical field of cloud storage, and particularly relates to an enterprise service management cloud storage system which comprises a system initialization module, a distributed data storage module, a data encryption module, an authority control module, a multi-level cache module, a data backup and recovery module, a log monitoring module and a task scheduling and dynamic extension module. The distributed data storage module is responsible for dividing data in enterprise service management into a plurality of data blocks; the data encryption module is used for encrypting the enterprise service data stored in the cloud; the authority control module is responsible for managing the access authority of the user to the data; the multi-level cache module accelerates data access by configuring a local cache and a global cache; the data backup and recovery module is responsible for backing up the stored data regularly; the log monitoring module records various operation logs of the system; and the task scheduling and dynamic extension module is used for dynamically distributing calculation and storage resources according to the priority of the task and the utilization rate of the system resources.

The invention relates to the technical field of education course playing, in particular to a multimedia education course resource playing method and device, and the method comprises the steps: reading student identity data based on an electronic student identity card, carrying out the identity verification, and obtaining an access authorization certificate; calling multimedia education course resources associated with student courses from the server, and adjusting playing parameters according to current course requirements of students to obtain personalized playing configuration; after the personalized playing configuration is checked before playing and the content is verified to be appropriate, based on the playing ready state, a multimedia playing process is executed, the playing quality is adjusted in real time, and an operation request of a student is responded to obtain an interactive monitoring record; and based on the interaction monitoring record, evaluating the watching behavior and the interaction quality of the student, optimizing the education course recommendation content in the future time period, and obtaining an education course recommendation content updating result. According to the invention, personalized multimedia education course resource recommendation can be provided according to the specific academic state of the student, so that the education course resource allocation is more accurate.

The invention discloses a real-name system information management method supporting multi-level authentication, and the method comprises the following steps: collecting basic identity information of a user, and storing the basic identity information through an asymmetric encryption algorithm; according to the use demand and the access authority requirement of the user, generating a multi-level authentication hierarchy; dividing the real-name system information into a basic information area, an authority information area and a sensitive information area according to the sensitivity of the real-name system information; carrying out distributed storage on real-name system information, and carrying out hierarchical encryption on data of different information areas by using a hierarchical encryption strategy; based on a multi-level authentication result and in combination with an access control strategy, authority distribution is carried out on the user, and controlled access of real-name system information is carried out under multi-dimensional verification; user information operation behaviors are monitored in real time, user behavior characteristics are analyzed based on an anomaly detection model, and when risk behaviors are recognized, an additional verification process is triggered or user operation is directly limited. According to the invention, safer, more flexible and more efficient real-name system information management is realized.

The invention relates to the technical field of information security, in particular to an information security cloud computing platform based on an intelligent computing center, which comprises a user identity and access control module, a self-adaptive threat detection module, a data protection and backup module, a virtualization and resource management module, an edge computing collaborative security module and a security event management module, the user identity and access control module performs identity verification and management; the self-adaptive threat detection module automatically analyzes and identifies novel security threats; the data protection and backup module encrypts the stored and transmitted data; the virtualization and resource management module manages and monitors the security state of the virtual machine; the edge computing collaborative security module deploys a security agent at an edge node; and the security event management module records security events of the platform. According to the method, the accuracy and real-time performance of threat detection and response are improved, and efficient and safe operation of the platform is ensured.

The invention discloses a multi-center inherited metabolic disease information integration platform, and relates to the technical field of medical treatment, according to the multi-center inherited metabolic disease information integration platform, the normalization and availability of data are improved through a data standardization module; data from different centers are integrated into a unified database through the data integration module by utilizing a data fusion technology, redundant data are removed, the problem of heterogeneous data integration is effectively solved, and the integrity and consistency of the data are improved; the privacy protection module avoids data leakage and unauthorized access; through the resource calculation management module, the resource utilization efficiency is effectively improved, and the calculation cost is reduced; and secondly, the storage resources are dynamically adjusted and allocated according to the evaluation result of the storage index Cczs, so that the optimal management of the storage resources is realized, the problems of resource waste and resource insufficiency are avoided, and the efficient operation of the system is ensured.

The invention relates to the field of security encryption, and discloses a method for preventing an MCU internal program from being copied. Through the encryption scheme, a development company can effectively protect software and hardware research and development results, and a client is prevented from easily obtaining a program code through a grinding disc shoveling plate and the like under the unauthorized condition; the technical scheme adopted by the invention aims to reduce the cost of encryption protection, so that the encryption protection method is suitable for projects with various scales and costs, especially the fields of small household appliances with sensitive cost and the like; by combining various security technical means, such as a PUF circuit and a block chain platform, the invention aims to provide a more comprehensive and efficient security protection scheme to effectively resist illegal copying and tampering behaviors.

The invention provides a privacy protection method and device for an audio information confusion reversible adversarial sample. The method provides a new framework named as an information confusion reversible adversarial example. According to the framework, the original quality of the audio can be recovered under the condition that authorization is obtained while the privacy security of the audio is ensured. By adopting the method provided by the invention, the security and privacy protection level of the audio data can be greatly improved, and unauthorized access and analysis can be effectively prevented. The objective of the invention is to solve the problems in the prior art that the antagonism attack in the audio data privacy protection is easy to detect, the quality of the processed audio is obviously reduced, and the existing reversible antagonism example (RAE) technology is limited in an audio application scene.

The invention discloses a data security protection method, system and device and a storage medium, and relates to the field of data security, and the method comprises the steps that a middleware application server sends prompt information after completing an initialization operation, so that a user can input an initial password; the method comprises the following steps: performing SM3 hash calculation on an initial password and a random salt value, encoding a hash value and the random salt value, storing the encoded hash value and random salt value in a target file, after successful starting, obtaining a password ciphertext of the initial password input by a user and a password plaintext after decryption of the password ciphertext, decoding the hash value and the random salt value, performing SM3 hash calculation on the decoded salt value and the password plaintext, and storing the encrypted password ciphertext and the password plaintext in the target file. The calculation result is compared with the decoded hash value; and judging whether login identification succeeds or not according to a comparison result, and if the login identification succeeds, performing encrypted transmission and encrypted storage operation on the sensitive data by using an encryption algorithm when the instruction input by the user corresponds to the sensitive data to complete security protection of the sensitive data. The data security protection level is improved.

The invention provides a privacy protection method based on computing migration and AI behavior trajectory analysis, and relates to the technical field of privacy protection of the Internet of Things. According to the method, a privacy label is bound to target data, an AI behavior track fingerprint is generated in each AI processing stage, and matching verification is performed on the AI behavior track fingerprint and the privacy label, so that dynamic access control and security audit among terminal equipment, edge nodes and a cloud are realized. On one hand, data can be effectively prevented from being stolen or tampered in the migration process through an encryption transmission and fingerprint verification mechanism; and on the other hand, the fingerprint and label information can be selectively stored in the block chain or the alliance chain side chain, so that the tamper-proofing performance and the distributed credibility of the audit record can be enhanced. The method is suitable for various AI application scenes, the risk of unauthorized calling and sensitive information leakage can be reduced, and the traceability and safety of the whole data processing process are improved.

The invention discloses a photovoltaic support installation data simulation management system and method, and relates to the technical field of virtual installation, and the method comprises the steps: taking each participant as a data node, distributing a storage block for each data node, and connecting all storage blocks to construct a block chain network; a common verification is set by using the common information, and a user of each data node in the block chain network can read data of all nodes according to the common verification; extracting an independent feature of each data node, setting an independent verification, and reading and writing installation data generated by each data node according to the independent verification by each data node; selecting a 3d modeling tool, and constructing a virtual installation model by using the collected operation data; and the user inputs the installation data stored in the block chain network in real time into the virtual installation model for virtual installation.

The invention relates to the technical field of medical health, and discloses a vital sign health intelligent analysis system based on a professional medical big language model, which comprises a data acquisition module, a data processing module, a big language model analysis module and a user interaction interface, the data processing module is connected with the large language model analysis module, and the large language model analysis module is connected with the user interaction interface. By using an advanced data acquisition technology (such as a non-intrusive sensor) and a deep learning model (such as BERT, GPT and LSTM), the physiological data of the user can be monitored and analyzed in real time, the health trend and potential problems can be identified, the Bayesian fusion algorithm is combined to perform weighted fusion on the physiological data and the historical data of the user, and the user experience is improved. The system can provide more personalized and accurate health suggestions; therefore, not only is the accuracy of health monitoring improved, but also the requirements of different users are better met through personalized analysis.

The invention relates to the technical field of data encryption, in particular to an intelligent medical information data encryption method and system and a medium. The method comprises the following steps: acquiring medical information data by using an electronic health recording system; initial AES-256 encryption is conducted on the collected medical information data, the encrypted medical information data are stored in a database, a medical information encryption database is obtained, and the medical information encryption database comprises at least one medical information record; and carrying out expiration timestamp distribution on each medical information record to obtain a medical information encryption expiration timestamp. According to the method, efficient and safe management of medical information data is realized through dynamic management of encryption strength, expiration time check and intelligent contract optimization, so that the security of the data is improved, the burden of the system is reduced, the compliance and flexibility of medical data storage and access are enhanced, and the overall performance of users and the system is improved.

The invention relates to a request interception method based on client fingerprint identification, which relates to the technical field of fingerprint identification, and comprises the following steps: collecting equipment information of a client, processing and analyzing the collected equipment information, extracting characteristics of the equipment information, performing encryption processing by using a Hash algorithm according to the extracted characteristics, generating an equipment fingerprint, and intercepting the equipment fingerprint. The method comprises the following steps of: establishing a black list fingerprint database and a white list fingerprint database, respectively storing known credible client fingerprints and known malicious client fingerprints, comparing and analyzing the generated client fingerprints with the fingerprints in the black list fingerprint database and the white list fingerprint database, and carrying out request interception judgment according to a fingerprint analysis result. The malicious request can be intercepted in advance, an attacker is prevented from performing unauthorized access and malicious operation, the legality of the client request can be accurately judged, and the false interception rate of the legal request is reduced.

The invention discloses an encryption method for nondestructive testing of a DICOM (Digital Imaging and Communications in Medicine) image file, which comprises the following steps of: reading the DICOM file, acquiring image data information and other data element information and inputting; performing feature extraction on the input information to obtain a feature sequence; preprocessing the feature sequence into an initial value required by three-layer chaotic mapping; constructing a chaotic mapping function according to a three-layer mode; processing the initial value obtained by preprocessing to obtain encrypted image data; symmetric encryption is carried out on other data element information of the DICOM file to obtain a secret key; symmetrically encrypting all data element information except the image to obtain an encrypted data sequence; and recombining the encrypted image data and the encrypted data sequence to obtain a DICOM encrypted file. According to the method, a mode of combining multi-level chaotic mapping and symmetric encryption is adopted in the encryption process, and the effect of comprehensively protecting image information and other data element information in the DICOM file can be achieved.

The invention discloses an efficient logistics storage scheduling system, and relates to the technical field of logistics storage scheduling, and the technical scheme is that the system comprises a storage scheduling management module, the connection end of the storage scheduling management module is provided with a data analysis optimization module, and the storage scheduling management module comprises an automatic scheduling module and a storage safety and stability guarantee module. The beneficial effects of the system are that through the automatic warehousing operation module, the links of manual operation are reduced, rapid and accurate cargo processing is realized, the overall logistics efficiency is significantly improved, the transportation route can be intelligently optimized according to the real-time order quantity and the transportation demand, and the transportation efficiency is improved. According to the method and the system, the waiting time and the empty driving rate are reduced, the logistics efficiency is further improved, the manpower demand is reduced through automatic and intelligent storage scheduling, the labor cost is reduced, and through real-time inventory state monitoring and accurate demand prediction, inventory overstock and excessive replenishment can be reduced, and the inventory cost is reduced.

The invention discloses a secure startup method and system of a trusted controller, and belongs to the technical field of industrial control system security, and the method comprises the steps: configuring a secure startup strategy in U-Boot, and executing the secure startup strategy in the startup process of the trusted controller through a trusted controller drive; when the trusted controller is started, the security starting strategy is verified by adopting the first-level security strategy, and corresponding security check is executed according to the security starting strategy after verification is passed; after the trusted controller is started, the security starting strategy establishes a trusted chain according to the trusted files, measurement verification is carried out on all the trusted files of the trusted chain, and when all the trusted files pass verification, the trusted controller passes trusted verification; according to the secure starting method of the trusted controller, the reliability of the system is improved through establishment and verification of the trusted chain, a flexible protected area and comprehensive trusted file verification, and comprehensive security guarantee is provided for the system.