5results about How to "Solve data security issues" patented technology

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 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 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 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.