4results about How to "Protect private information" patented technology

The application discloses a building group internal electric energy mutual aid scheduling and distribution method considering user limited rational behavior and multi-dimensional contribution degree, and the method corrects the actual callable boundary of building flexible resources by constructing user multi-dimensional portrait parameters, limited rational utility functions and response probability models; based on a building group internal P2P electric energy mutual aid model, an asymmetric Nash bargaining model and a multi-dimensional contribution degree income distribution model, two-stage ADMM distributed solution is adopted to solve internal mutual aid electric quantity and settlement electricity price, and the executable scheduling of the building group internal electric energy mutual aid and the cooperative residual fair distribution are realized.

This invention discloses a federated learning method based on group signatures, smart contracts, and a distributed file system (DFS) to hide data source information, relating to the field of computer cryptography. This invention utilizes smart contracts to manage members of each group. Each group member completes model training using its local data to obtain model parameters. These parameters are then encrypted using group signatures and uploaded to the DFS to obtain the DFS address. The encryption key and DFS address are then encrypted and group-signed again via a smart contract and uploaded. The central server decrypts the DFS address and key to obtain the DFS address, downloads the encrypted model parameters from the DFS, and decrypts them using the key to obtain the model parameters uploaded by each group member. These parameters are then aggregated and updated to obtain the improved global model. This invention effectively protects the privacy of data providers, ensuring the protection of data source information for both parties during the federated learning process.

The application discloses a kind of multi-source big data acquisition and pre-processing database construction method and system, it is related to database technical field, the present application completes multi-source heterogeneous data acquisition using edge-center two-level distributed architecture, and the security of data transmission is guaranteed by transmission encryption and integrity check mechanism, hierarchical pre-processing is carried out to data to realize heterogeneous data semantic alignment and multidimensional fusion;Distributed hybrid storage architecture is constructed, adaptive database index mechanism is set, and through multidimensional data quality evaluation, the incremental update and full-amount synchronization of database are realized.The present application can realize the unified collection of various source data, standardized processing, effectively break the data island barrier, significantly improve data processing efficiency and storage running performance, and stably guarantee the overall data quality and data consistency of database.

This application provides a method, apparatus, device, medium, and program product for security detection of application behavior, relating to the financial technology field. It includes: based on the startup status of a banking application installed on a terminal device under test, in a trusted execution environment corresponding to the security chip of the terminal device, real-time collection of sensitive behavior data of the banking application; in the trusted execution environment, risk analysis processing of the sensitive behavior data is performed based on the historical usage data of the banking application corresponding to the terminal device to determine the risk category of the sensitive behavior data; based on the risk category, a security report for the banking application is generated, and a security report generation prompt is displayed; in response to the user's viewing operation of the prompt, abnormal behavior verification is performed on the terminal device and the banking application in the trusted execution environment; if the verification is successful, the security report is de-identified to obtain and display a de-identified security report. The method of this application improves the security of application behavior detection.