A cross-organization data secure exchange method, system and electronic device based on privacy computing

By coordinating the two-layer interaction between the contract and the local smart contract, and utilizing interval proof, encrypted Bloom string, homomorphic logic AND operation, zero-knowledge proof and blockchain technology, the problems of privacy leakage, computational distortion and lack of incentives in cross-organizational data security exchange are solved, realizing privacy protection, computational accuracy and economic incentives in the data exchange process.

CN122419985APending Publication Date: 2026-07-17SHANGHAI PUHUA TECH DEV CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI PUHUA TECH DEV CO LTD
Filing Date
2026-06-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies suffer from privacy leaks, computational distortions, and lack of incentives in secure cross-organizational data exchange. In particular, in federated learning frameworks, the central server's observable gradient vectors lead to privacy leaks, the lack of gradient verification mechanisms causes computational distortions, and the participants lack economic incentives.

Method used

By employing a privacy-based computation approach, and through a two-layer interaction between coordinated contracts and local smart contracts, this approach utilizes interval proofs, encrypted Bloom strings, homomorphic logic AND operations, zero-knowledge proofs, and blockchain technology to achieve traceability of data sources, sample alignment, verifiable computation, and economic incentive mechanisms, thereby ensuring the privacy and compliance of the data security exchange process.

Benefits of technology

It achieves privacy protection, computational accuracy, and participant incentives in the cross-organizational data exchange process. Through blockchain notarization, automatic execution of smart contracts, and encryption technology, it ensures the auditability and security of the data exchange process, avoids privacy leaks and computational distortion, and provides an economic incentive mechanism.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122419985A_ABST
    Figure CN122419985A_ABST
Patent Text Reader

Abstract

本申请实施例公开了一种基于隐私计算的跨组织数据安全交换方法、系统、电子设备,属于电子数据处理的技术领域,包括:本地智能合约提取目标字段的哈希值与区间证明,提交数字资产至协调合约;协调合约验证区间证明,通过加密布隆串与同态逻辑与运算完成集合求交,本地智能合约基于随机挑战数计算局部梯度并生成零知识证明,协调合约触发资产罚没或执行加权聚合,迭代至模型收敛。本申请实施例通过区间证明与哈希上链的协同实现数据来源可信,通过加密布隆串与同态运算实现隐私保护下的样本对齐,通过随机挑战数与零知识证明构建可验证计算框架,利用资产流转与验证状态同步实现激励相容,解决了跨组织数据协作中的隐私泄露与计算失真问题。
Need to check novelty before this filing date? Find Prior Art