Auditable data linking method

A data link, trusted technology, applied in the field of information security technology and data link privacy protection, can solve the problems of lack of protection of entity privacy and privacy leakage.

Pending Publication Date: 2022-03-01
HANGZHOU QULIAN TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, blockchain does not provide a mechanism to protect the privacy of entities during the PPRL process
In effect, blockchains create privacy breaches by duplicating entire data between untrusted parties

Method used

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Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0020] Such as figure 1 As shown, the present invention is compared and implemented in three stages to improve the privacy protection capability of PPRL. In order to perform the comparison step of PPRL, parties need to share their entire anonymous entity, which facilitates sophisticated cryptanalytic attacks (e.g., pattern mining attacks). The present invention designs a new Bloom filter called Split Bloom Filter (SBF) to realize auditable data linking.

[0021] The basic idea of ​​SBF is to use only a fraction of the original BF (instead of the whole BF) for iterative similarity computation to reduce the amount of information shared in the privacy-preserving data link comparison step. SBF divides the original BF into s parts, and each divided part is a small part of the length of the original BF.

[0022] Based on above-mentioned design, present embodiment comprises the following steps:

[0023] System initialization phase

[0024] Step 1. The system generates BF paramete...

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PUM

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Abstract

The invention discloses a data link method capable of being audited. According to the method, an original privacy protection data link Bloom filter (BF) is improved, the improved Bloom filter is called a split Bloom filter (SBF), and the basic idea of the method is that only a small part of the original BF (rather than the whole BF) is used for iterative similarity calculation, so that the amount of information shared in the privacy protection data link comparison step is reduced. The SBF divides the original BF into s parts, wherein each divided part is a small part of the length of the original BF. According to the invention, a lower risk of privacy disclosure can be provided, and in addition, the possibility of malicious collusion between parties is also reduced.

Description

technical field [0001] The invention belongs to the field of information security technology and data link privacy protection. Background technique [0002] Currently, some PPRL (Privacy Preserving Data Link) schemes use blockchain (smart contracts) as a semi-trusted third party (STTP). However, blockchain does not provide a mechanism to protect the privacy of entities during the PPRL process. In effect, blockchains create privacy breaches by duplicating entire data between untrusted parties. [0003] Chinese patent (publication number CN110609831A) discloses a data linking method based on privacy protection and secure multi-party computing. This invention uses an improved k-means classification method to block local data and reduce the number of comparisons between data records. For Large-scale databases have better scalability, and also improve the execution efficiency of privacy-preserving record links; the invention guarantees comparison between two or more record-leve...

Claims

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Application Information

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IPC IPC(8): G06F21/60G06F21/62
CPCG06F21/602G06F21/6263
Inventor 张延楠匡立中张帅谭锦志张珂杰
Owner HANGZHOU QULIAN TECH CO LTD
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