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Method and system for realizing multi-party security summation across data centers

A technology across data centers and data centers, applied in the field of data security, can solve problems such as leakage, data can only be transmitted in plain text, and cannot be shared and circulated, so as to enhance management and control capabilities, solve data security and privacy issues, and meet regulatory requirements. Effect

Pending Publication Date: 2022-07-15
中银金融科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

All participants can verify the consistency of the sub-keys distributed by the key management center and the authenticity of the sub-keys presented by others. In the existing technology, security encryption is not performed. Traditional transmission methods provide private data to each other for summation, which does not comply with data security regulations, that is, data between different organizations can only be transmitted in plain text, which has a risk of leakage and does not comply with relevant data security regulations, so it cannot be shared and circulated

Method used

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  • Method and system for realizing multi-party security summation across data centers
  • Method and system for realizing multi-party security summation across data centers
  • Method and system for realizing multi-party security summation across data centers

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Embodiment

[0043] The invention is based on FeldmanVSS in the secure multi-party computing protocol. FeldmanVSS is specifically a verifiable secret sharing scheme proposed by Feldman. Each data center node first encodes and encrypts the original data, then performs data exchange, and finally sums and decrypts the selected nodes to obtain each The data sum required by the data center. Computations in nodes are based on operations on finite fields, while using coefficient commitments to ensure that distributed fragmented data is verifiable. During the entire data communication process, the private data of each data center is not local, each guest data center only knows the sum of a certain type of private data of all data centers, and the host data center cannot know the private data of other data centers. Secure computing is to enable multi-party nodes to complete collaborative computing without knowing each other's data by means of encryption.

[0044] The present invention provides a m...

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Abstract

The invention relates to a method for realizing multi-party security summation across data centers, which comprises the following steps of: 1, setting a plurality of nodes, namely a guest data center node and a plurality of host data center nodes; 2, a guest data center node initiates a task, each node generates a public key pair (n, g, p), and the number k of participating data center nodes is determined; 3, each node executes an encryption task; step 4, exchanging sub-key data and commitments among the nodes; step 5, each node verifies the received sub-key; step 6, summing the subkeys by each node, and sending the summed subkeys to a guest data center node by the host data center node; 7, verifying the sum of the subkeys by the guest data center node; 8, the guest data center node obtains the sum of the credit quotas. Compared with the prior art, the method has the advantages that the problems of data security and privacy are solved, the management and control capability on clients is enhanced, and the overall conditions of the clients are dynamically tracked.

Description

technical field [0001] The invention relates to the field of data security, in particular to a method and system for realizing multi-party security summation across data centers. Background technique [0002] Banking, insurance and other financial industries generally build their own data centers, and privatize their software systems in the self-built data centers. Even the financial groups' subordinate consumer finance, banks, and insurance companies have software systems deployed in their own data centers. Currently, the group company encourages the flow and sharing of data elements, unites all data in distributed data centers, and realizes business empowerment through secure and compliant multi-party computing. In order to achieve business empowerment, it is necessary to sum up some private data of each data center, and traditional communication methods are still used to share these private data for summation, which brings the risk of private data leakage. [0003] Feldm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L9/08H04L9/40G06Q40/02G06Q40/08
CPCH04L9/0861H04L63/061H04L63/0884H04L63/0428G06Q40/02G06Q40/08H04L2209/56H04L2209/46
Inventor 孙舒雯石新蕾
Owner 中银金融科技有限公司
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