Data privacy protection method and device in data fusion process and storage medium

A data fusion and data privacy technology, applied in the computer field, can solve problems such as loss of property and privacy leakage, and achieve the effects of reducing acceptance costs, ensuring data privacy, and solving trust problems

Pending Publication Date: 2022-07-22
CHINA ACADEMY OF INFORMATION & COMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But deleted data will often contain some unique identifiers, location information and movement trajectories, which can lead to further privacy breaches and loss of property

Method used

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  • Data privacy protection method and device in data fusion process and storage medium
  • Data privacy protection method and device in data fusion process and storage medium
  • Data privacy protection method and device in data fusion process and storage medium

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Embodiment Construction

[0071] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0072] In the description of this application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", " The orientation or positional relationship indicated by "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. is based on the orientation shown in the drawings Or the positional relationship is only for the convenience of describing the...

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PUM

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Abstract

The invention discloses a data privacy protection method and device in a data fusion process and a storage medium, and the method comprises the steps that a first block chain node generates a first model parameter block, and the first model parameter block comprises a local model updating parameter of a preset network model at the first block chain node; the first block chain node sends the first model parameter block to a second block chain node; the second block chain node verifies the first model parameter block; and after the verification of the first model parameter block is passed, the second block chain node adds the first model parameter block to the network model parameter block chain. According to the method and the device, federal learning and a block chain technology are fused, so that the non-tampering property and the verifiability of a federal learning result are increased, the trust problem of a participant on a calculation process and a result is solved, the acceptance cost of a terminal is reduced, the security of data storage is ensured, and the data privacy is effectively ensured in a data fusion process.

Description

technical field [0001] The present application relates to the field of computer technologies, and in particular to a method, device and storage medium for data privacy protection in a data fusion process. Background technique [0002] In recent years, artificial intelligence has developed rapidly, and has gradually entered the practical application stage from the invention period a few years ago. In more and more application scenarios, artificial intelligence technology has been applied. However, under the circumstance that the demand for data scale is increasing due to the significant increase in algorithms and computing power, how to meet the data privacy protection requirements of artificial intelligence models has become an urgent problem to be solved in the current development of artificial intelligence technology. [0003] In 2016, Google proposed an emerging artificial intelligence technology called Federated Learning (FL) for Android mobile phone end users to update...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L9/08H04L9/32
CPCH04L9/0861H04L9/088H04L9/32
Inventor 李志平陈剑华雨晴聂凡杰张波
Owner CHINA ACADEMY OF INFORMATION & COMM
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