A method to solve the problem of data privacy disclosure in multi-party computing

Abstract

The invention discloses a method for solving the problem of data privacy disclosure in multi-party computation Using a trusted execution environment at the cloud hardware level. In the absence of a trusted third party, Participants who hold the data are able to authenticate remotely the key management program that executes in a trusted execution environment in the cloud, after confirming that theprogram has not been tampered with, the program encrypts its own data with the public key obtained from the program, transmits the data to the cloud, and performs the analysis and calculation of multi-party data in the form of mixed operation based on partial homomorphic encryption technology and hardware-level trusted execution environment at the cloud. The method does not require a centralized authority to complete the computation, so that the data analyst can analyze the data without requiring a third-party trustworthy mechanism, Completing the analysis and calculation of multi-party data can effectively reduce the risk of data privacy leakage in multi-party computation. Compared with the method based on garbled circuit, the method does not need complex key agreement mechanism and has high efficiency.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to a method for solving the problem of data privacy leakage in multi-party computing. Background technique [0002] Multi-party computing refers to the fact that in a data analysis and calculation process, the data is jointly provided by different sources, and the parties who hold the data cooperate to complete an analysis and calculation process based on the overall data. Taking the analysis of medical data as an example, the rapid development of human genome sequencing has brought us into a genome era. Human genome data play a vital role in medical clinical research, and researchers usually perform on different genome databases. Scientific experiments for new scientific discoveries. Typically, the accuracy of the assessment relies on the quantity and quality of the data used in the analysis, with larger genomic datasets yielding more accurate results. Ho...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the shortcomings of the above-mentioned prior art and solve the problem of data privacy leakage in multi-party computing, the purpose of the present invention is to provide a method for solving the problem of data privacy leakage in multi-party computing, which reduces the data in the process of data analysis and calculation involving multiple parties. The risk of privacy leakage; this method utilizes the trusted execution environment at the cloud hardware level, and in the absence of a trusted th...

Images