13results about How to "Solve data security issues" patented technology

The invention discloses a distributed multi-tenant data security isolation system and method, and relates to the technical field of data isolation, and the system comprises a data isolation module which is responsible for distributing independent container instances and hardware resources for each tenant, and adjusting the data access authority according to an access control strategy; the dynamic access control module is responsible for generating an access control strategy according to the user identity, the authority, the tenant strategy and the access behavior; the distributed data management module is responsible for storing data fragments on different storage nodes; the resource scheduling and optimizing module is responsible for collecting resource demand data of each tenant, calling an intelligent scheduling algorithm, performing dynamic prediction and analysis on resource demands, and then automatically adjusting a resource allocation strategy according to a prediction result; and the security auditing and monitoring module is responsible for collecting operation logs and event records of each module and carrying out comprehensive analysis. The invention aims to solve the problems of data security and resource management in a multi-tenant environment.

The invention discloses a gradient aggregation method for federated learning data poisoning attacks, and belongs to the technical field of Internet of Vehicles, block chains and federated learning. For a data security problem existing in federated learning in Internet of Vehicles data sharing, a local device filters and dynamically screens a sharing gradient in a block chain network, firstly, the degree of a label deviating from a mean value in the gradient is calculated, and gradient data is filtered according to a set threshold value; and then, the sum of the Euclidean distances between the gradients is calculated as the score of each residual gradient, and the gradients are dynamically screened according to the scores, so that data poisoning attacks represented by label flipping attacks and model poisoning attacks are resisted, and the robustness of the Internet of Vehicles data sharing system is improved.

The invention discloses a system for updating software of a rail transit CBTC (Communication Based Train Control) signal system, which comprises an upgrading server serving as an upgrading initiator and a client system applied to equipment to be upgraded, the upgrading server comprises a database module used for storing the version of the software operated by the current client, the public key of the client and the version of the software to be upgraded; the encrypted packet generation module is used for signing and encrypting an original upgrade packet imported by a user; the first log management module is used for recording events and errors occurring in the upgrade server; the first interface module is used for being responsible for an interface between the first interface module and the upgrade server operating system; and the first TFTP module is used for providing a method for downloading the encrypted software package by the client. The invention further discloses a rail transit CBTC signal system software updating method. According to the method, the problem that the software updating of the rail transit CBTC signal system needs to consume a large amount of manpower, material resources and time is solved.

The invention relates to the technical field of robot software architecture and distributed systems, in particular to a data flow driven robot low-delay communication system and method. The system comprises a middleware scheduler, a sender computing node and a receiver computing node. And the middleware scheduler is used for loading a predefined data stream topology description file to declare all permitted communication paths, and performing admission verification on a data stream sending request according to the file. And the sender computing node is used for initiating a sending request and writing to-be-sent data into the shared memory area in a unified memory layout format after verification is passed. And the receiver computing node is used for registering a receiving intention and directly reading the written data in the shared memory area according to the indication of the middleware scheduler after the receiving intention passes the verification. According to the method, the defects of the existing open type robot middleware in the aspects of safety, real-time performance and resource utilization rate are systematically solved.

The application discloses an AI driving-based structured data migration method and system, belongs to the technical field of big data migration, and aims to solve the technical problem of how to improve the efficiency of large-scale data migration and reduce resource waste. The method comprises the following steps: forming a private large language model with field adaptation capability; performing lexical analysis and syntax analysis on non-standard structured data in a source database based on an AST analysis method, generating an abstract syntax tree AST, traversing and optimizing AST nodes, and converting the AST nodes into standard structured data supported by a target database; calling the large language model, and converting unstructured data into structured data supported by the target database through instruction fine-tuning, thought chain reasoning and step-by-step analysis; generating a migration script by the large language model; monitoring the migration process in real time, recording abnormal events, automatically retrying or repairing the abnormal events by the large model, and optimizing the large language model configuration strategy and data conversion rules in combination with feedback data.

The invention relates to a palm print payment implementation method and system based on a local one-card, and belongs to the technical field of electronic payment. The method comprises the following steps: 1) collecting palmprint, performing feature extraction, and sending palmprint features to a biological feature management platform; 2) selecting a palmprint payment device from the payment devices managed by the one-card management platform, and selecting a palmprint payment account from the payment accounts; binding the palmprint payment account with the palmprint payment device, and synchronizing the binding relationship to the Internet of Things platform; and 3) the biological characteristic management platform pulls the palm print payment personnel list through the authorized interface, and issues the palm print characteristic information corresponding to each personnel in the list and the list to the bound palm print payment equipment. The system comprises a palmprint acquisition terminal, a biological characteristic management platform, an all-purpose card management platform, an Internet of Things platform and palmprint payment equipment which are interconnected through a local area network. According to the invention, seamless fusion of a palmprint payment technology and a local all-purpose card payment system is realized.

The invention belongs to the technical field of data transmission of a vehicle-mounted crowd sensing system, and discloses a vehicle-mounted crowd sensing data encryption transmission method and system. A secret key exchange protocol based on an SM2 digital signature is adopted to ensure the security of data transmission, including correctness of a signature and a session secret key; and a pseudonym is generated in a data processing process to realize anonymity and traceability of the user. According to the invention, the problems of user identity privacy and user data security in the vehicle-mounted crowd sensing system are solved. User privacy protection is enhanced: by generating a pseudonym for each vehicle user, the privacy of the user is protected, and meanwhile, the capability of tracing the real identity of the user when necessary is reserved. Due to the design of the edge nodes, the system can flexibly process tasks of different scales, screening can be carried out according to the credits of the vehicle users, and the task execution efficiency and quality are improved.

The application provides an inventory management method, an electronic device and an inventory management system. The inventory management method is applied to a client. The inventory management method comprises the following steps: obtaining key parameters of at least two encryption algorithms, and generating an encryption key according to the key parameters, wherein at least one of the at least two encryption algorithms comprises a post-quantum encryption algorithm; obtaining a business operation instruction, and generating operation metadata according to the business operation instruction, wherein the operation metadata comprises business data and additional data, the business data comprises data related to the business operation instruction, and the additional data comprises data unrelated to the business operation instruction; generating plaintext data according to the operation metadata; encrypting the plaintext data by using the encryption key and a symmetric encryption algorithm to obtain ciphertext data; and transmitting the ciphertext data to a server.

The present invention provides a soil monitoring data analysis method, device and equipment for mine ecological restoration, which relates to the field of data processing technology, including: obtaining soil monitoring data; inputting soil monitoring data into a pre-trained soil monitoring data analysis model, and outputting soil monitoring data analysis results; the training method of the pre-trained soil monitoring data analysis model includes: training multiple local models based on training data sets respectively and then summarizing them to a global model of a central server for parameter update, and multiple local models perform global iteration based on the updated parameters until the training converges to complete the training; wherein the step of obtaining the training data set includes data expansion using a generative adversarial network based on variational Bayesian sparse matrix decomposition. This method reduces the cost of data transmission and storage, avoids the centralization and transmission of data, effectively reduces the risk of data leakage, and ensures the comprehensive use of data.

The embodiment of the invention provides an intrusion detection method of the Internet of Vehicles and electronic equipment, the method is applied to a vehicle end, and the method comprises the steps: obtaining vehicle-mounted multi-source data which is used for representing vehicle data from a plurality of data sources; on the basis of the vehicle-mounted multi-source data, initial parameters of the local initial model are updated, updated parameters are obtained, and the parameter quantity of the initial parameters of the model is smaller than the preset parameter quantity; encrypting the update parameter to obtain a first encryption result; the first encryption result is uploaded to the cloud end, an intrusion detection model returned by the cloud end is received, the first encryption result is obtained by combining the cloud end with multiple second encryption results generated by other vehicle ends, parameter updating is conducted on an initial detection model of the cloud end, and the intrusion detection model is obtained and used for conducting intrusion detection on the vehicle ends. According to the method and the device, the technical problems of low detection accuracy and low data security of intrusion detection of the Internet of Vehicles in related technologies are solved.

The invention discloses a U disk virus isolation data transmission method, system and U disk, and relates to the field of U disk virus isolation data transmission. The technical scheme includes: establishing an isolation zone, connecting the U disk with a target device through the isolation zone, and using the isolation zone to pre-process the data in the U disk; setting the pre-processed data in the U disk as metadata, building a multi-layer virtual world, and transmitting the metadata from the isolation zone to the multi-layer virtual world; in the multi-layer virtual world, using an inspired sandbox algorithm to perform virus detection on the metadata to obtain shadow data; using an SCP or SFTP transmission tool to unidirectionally transmit the shadow data from the multi-layer virtual world to the target device, and extracting and warning deleted and missing blocks, so as to realize the detection and analysis of abnormal data carrying viruses in the process of U disk virus isolation data transmission, and improve the security of data transmission.

The invention discloses a vehicle-mounted-cloud road time health multi-dimensional analysis and risk assessment system, and belongs to a vehicle-mounted analysis and assessment technology. Capacitance, pressure and radar signals are fused, the defect of a single sensor can be overcome, a lightweight self-adaptive filtering model generated based on hardware sensing meta-neural architecture search is adapted to a vehicle-mounted edge computing power constraint and interference feature real-time sensing mechanism, so that the model can adjust a filtering strategy according to vehicle vibration and illumination changes, and the vehicle-mounted edge computing power constraint and interference feature real-time sensing mechanism is optimized. The dynamic scene self-adaptive capability is enhanced, the delay of the generation of the health state snapshot of the edge end can be effectively reduced through model quantification and hardware optimization, and the occupancy rate of vehicle-mounted computing resources can be effectively reduced by unloading a complex model training task to the cloud and only executing lightweight reasoning by the edge end. The parameter updating strategy is dynamically adjusted based on the communication quality, the data transmission amount can be effectively reduced in a weak communication environment, and the model updating failure caused by communication fluctuation is avoided.

The present invention discloses a private domain and public domain collaborative processing system of an AI model based on data security and privacy protection, the present invention relates to the field of artificial intelligence, data security and privacy protection technology, including a collaborative processing platform, the collaborative processing platform is communicatively connected with a public-private domain strategy selection module, a private domain data processing module, a secure transmission channel module, a public domain model training and optimization module, a privacy protection mechanism module and a model feedback and fusion module, wherein the modules are connected by electrical signals. The private domain and public domain collaborative processing system of an AI model based on data security and privacy protection effectively solves the data security and privacy protection problems faced by the AI ​​model during training and deployment by constructing a secure collaborative processing mechanism between the private domain and the public domain, which not only improves the generalization ability and accuracy of the model, but also ensures the privacy security of user data, providing a solid guarantee for the widespread application of AI technology.