Privacy protection method based on data confusion between users and terminal data aggregation system

Abstract

The invention belongs to the technical field of data privacy protection, and discloses a privacy protection method based on data confusion between users and a terminal data aggregation system. Data aggregation is completed by participating in matching and data mixing between users. And the users are paired through an authentication center, and part of information segmented by the users is interacted for mixing and uploaded to an aggregation center for matching and aggregation. Each participant user is semi-trusted, and data aggregation is completed under the condition that individual information is not leaked. Compared with a homomorphic encryption data processing method, the method has the characteristic of simple calculation, the problem of aggregation failure caused by failure of a certain link is solved, and the aggregation of other parts is not influenced by local failure. Compared with a secure multi-party computing method, an additional server is not needed, it can be guaranteedthat an aggregation center is not conspired with users, and information leakage is prevented.

Description

technical field [0001] The invention belongs to the technical field of data privacy protection, and in particular relates to a privacy protection method based on data confusion between users and a terminal data aggregation system. Background technique [0002] At present, the closest existing technology: In the environment of explosive growth of data volume in today's network world, data aggregation is used in various fields. In the financial field, user account statistics and transaction audits require data aggregation. In the medical field, medical data needs In aggregation, in mobile spectrum sensing, cooperative sensing data also needs to use the data aggregation method for joint decision. Especially in wireless sensor networks, various types of data need to be collected at edge nodes and uploaded to the cloud for data aggregation. Sensors are usually power-limited, and nodes are limited by computation, communication, and power. Sensors need to cooperate within the netw...

AI Technical Summary

Problems solved by technology

[0004] To sum up, the problems existing in the existing technology are: the implementation process of the existing data aggregation process is complicated, the overhead is relatively large, and additional third-party equipment is required to assist, and no good solution has been proposed for the problem of partial link failure.

[0005] The difficulty of solving the above technical problems: the high computational complexity brought by homomorphic encryption technology can be reduced in the scheme based on secure multi-party computing, but there are still some problems that bring high computational overhead and network requirements

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