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Data link method based on privacy protection and secure multi-party computing

A technology of secure multi-party computing and data linking, applied in the field of data linking based on privacy protection and secure multi-party computing, can solve the problems of less consideration of privacy protection, no privacy protection implementation, and efficiency to be improved, so as to ensure security and privacy. Effect

Active Publication Date: 2019-12-24
ZHEJIANG GONGSHANG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, existing data link technologies rarely consider privacy protection, even if privacy protection is considered, privacy protection is not implemented in the similarity calculation stage
On the other hand, the efficiency of existing data link technology needs to be improved

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0032] Embodiment: First, use data cleaning technology to process dirty data such as missing values ​​and noise. Next, each database owner roughly divides the local data records into k sets using the voice block technology, and then calculates the sum of each point in the set and the number of points in the set. In order to ensure the safety of the record, the two are added with noise The result of the division is used as the central point of the set, and then the k-means classification algorithm is used to obtain the final block result, and then the records are mapped to the equal-length record-level Bloom filter according to the weight of different attribute values. Since the records with high similarity will be divided into the same block, when comparing two or more parties, the cluster center is used to compare the similarity first, and if the similarity is greater than the threshold, each record is further compared. If only two parties participate in the comparison, the l...

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PUM

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Abstract

The invention discloses a data link method based on privacy protection and secure multi-party computing. According to the method, local data is partitioned by adopting an improved k-means classification method, so that the comparison frequency among data records is reduced, the method has relatively good expandability for a large database, and the execution efficiency of privacy protection recordlinks is also improved; according to the method, by utilizing the property of the reversible matrix and a Shamir threshold secret sharing scheme, good safety is ensured when two or more recording-level Bloom filters are relatively similar, and user sensitive information is prevented from being acquired by an enemy. The method provided by the invention has good expansibility and small calculation overhead, and is suitable for a real environment with a large real data volume.

Description

technical field [0001] The invention relates to the field of privacy protection data link, in particular to a data link method based on privacy protection and secure multi-party computation. Background technique [0002] Data link technology can be used in the fields of big data analysis, e-commerce, healthcare, intelligent recommendation, intelligent pharmaceuticals, intelligent transportation, etc. to confirm whether different records belong to the same entity. How to ensure data privacy and security is an important challenge in the current data link field. On the one hand, the existing data link technology seldom considers privacy protection, and even if it considers privacy protection, it does not implement privacy protection in the similarity calculation stage. On the other hand, the efficiency of the existing data link technology needs to be improved. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the present invention provides a da...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06F21/62G06K9/62
CPCG06F16/215G06F21/6245G06F18/23213
Inventor 韩嵩孔梦娇洪海波杨柏林谢满德赵帅金舒丹
Owner ZHEJIANG GONGSHANG UNIVERSITY
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