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A data processing method, device, ciphertext calculation engine and device for data processing

A data processing and data cube technology, applied in the field of devices, data processing devices, and data processing methods, can solve the problems of low calculation efficiency and large time consumption of ciphertext calculation engines, so as to improve calculation efficiency and reduce ciphertext calculation steps , the effect of reducing the amount of transmission

Active Publication Date: 2022-06-07
HUAKONG TSINGJIAO INFORMATION SCI BEIJING LTD
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Problems solved by technology

[0005] The above method requires each data party to encrypt and upload its own sample data to the ciphertext calculation engine. In the case of a huge amount of data, the ciphertext calculation engine needs to perform ciphertext calculation operations on large-scale encrypted data, causing the ciphertext calculation engine to The time consumption is too large and the calculation efficiency is low

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  • A data processing method, device, ciphertext calculation engine and device for data processing
  • A data processing method, device, ciphertext calculation engine and device for data processing
  • A data processing method, device, ciphertext calculation engine and device for data processing

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Embodiment Construction

[0041] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0042] The terms "first", "second" and the like in the description and claims of the present invention are used to distinguish similar objects, and are not used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances so that embodiments of the invention can be practiced in sequences other than those illustrated or described herein, and distinguished by "first",...

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Abstract

The embodiment of the present invention provides a data processing method, device, ciphertext calculation engine and device for data processing. The method includes: receiving the preprocessed ciphertext data from p data parties, the preprocessed ciphertext data of each data party includes the ciphertext distance vector and the ciphertext label vector; the ciphertext distance vector of the ith data party includes The ciphertext sorting of the distance of the K samples closest to the query sample in the sample set of the i-th data cube, the ciphertext label vector of the i-th data cube includes the ciphertext corresponding to the K samples of the i-th data cube label; perform joint calculation based on ciphertext on the preprocessed ciphertext data of p data parties, and obtain the ciphertext label corresponding to the query sample; send the ciphertext label to the query party. On the basis of ensuring data privacy and security, the embodiment of the present invention realizes collaborative K-nearest neighbor classification for multi-party data, and can reduce the time consumption of the ciphertext calculation engine and the amount of data transmission.

Description

technical field [0001] The invention relates to the field of multi-party secure computing, in particular to a data processing method, a device, a ciphertext computing engine and a device for data processing. Background technique [0002] The basic idea of ​​the K-Nearest Neighbor (KNN) classification algorithm is that if a query sample and most of the K nearest neighbors belong to the same category, then the query sample also belongs to this category. [0003] Currently, data is often distributed across multiple data cubes. In the horizontal federated learning scenario, horizontal K-nearest neighbor classification refers to determining the closest distance to the query sample among all the sample data of the sample sets held by multiple data parties without exposing the data plaintext of each data party. The category to which most of the K samples belong to. [0004] In order to protect the privacy and security of data, the usual method of horizontal K-nearest neighbor cla...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L9/40G06K9/62G06F21/60
CPCH04L63/0428G06F21/602G06F18/24147
Inventor 陈璐
Owner HUAKONG TSINGJIAO INFORMATION SCI BEIJING LTD