Trusted data sharing collaboration platform

By employing data collection and preprocessing, hybrid encrypted storage, and federated learning algorithms, the security and collaborative processing issues in data sharing are resolved, enabling seamless data integration and efficient collaborative processing.

CN120995464APending Publication Date: 2025-11-21BEIJING ZHONGAN NEBULA SOFTWARE TECH CO LTD
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Patent Information

Application Number
CN202511088051.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-05
Publication Date
2025-11-21

AI Technical Summary

Technical Problem

Current data sharing faces data security issues and insufficient multi-user collaborative processing, resulting in a high risk of data leakage and difficulty in meeting complex collaborative processing needs.

Method used

The system employs a data collection and preprocessing module for data identification, noise reduction, and merging. It uses a hybrid encryption algorithm for storage and implements role-based access control. It combines erasure coding technology for distributed blockchain storage, supports multi-user distributed and collaborative computing, and utilizes a federated average learning algorithm for collaborative data processing.

Benefits of technology

It enables seamless data integration, secure storage, and efficient collaborative processing, breaking down data barriers and improving the utilization of computing power and the security of data sharing.

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Abstract

The invention discloses a trusted data sharing collaboration platform, belongs to the technical field of data sharing and collaboration, and is used for solving the technical problems of insufficient trusted data encryption effect and poor cross-domain collaboration efficiency. Comprising a data collection and preprocessing module, a data storage and management module and a data co-processing module. The method comprises the following steps: identifying different data sources, acquiring data, and recording an acquisition log; preprocessing the collected data to obtain original data; the method comprises the following steps: encrypting and storing uploaded original data to obtain a storage data set, and implementing role-based access control on the storage data set to realize data sharing; data cooperative processing is realized by supporting distributed and joint calculation among a plurality of users.
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