Cross-domain secure multi-party computing method and device based on trusted execution environment

Abstract

One or more embodiments of the invention provide a cross-domain secure multi-party computing method and device based on a trusted execution environment. The method comprises the following steps: a secure computing server creates a trusted execution environment for secure multi-party computing; encrypting and storing a computing side private key generated in the trusted execution environment by using a security key maintained by the security computing server; as the security computing server at least migrates the core hardware related to the security key to the isolation domain, therefore, thesecurity key can be normally generated inside or outside the isolation domain, the data ciphertext and the key ciphertext provided by each computing participant inside and outside the isolation domainare smoothly decrypted, and secure multi-party computing processing is carried out in a trusted execution environment. The technical scheme of the invention can be applied to service processing processes in various scenes, such as an artificial intelligence scene, a block chain scene and the like.

Description

technical field [0001] One or more embodiments of this specification relate to the field of security technology, and in particular to a method and device for cross-domain secure multi-party computing based on a trusted execution environment. Background technique [0002] Secure Multi-Party Computation (Secure Multi-Party Computation) can calculate the original data provided by multiple computing participants, and ensure that the original data held by these computing participants will not be leaked throughout the process, taking into account data processing requirements and Privacy protection needs. [0003] At present, secure multi-party computing faces the problem of balancing privacy and performance. Most of the existing solutions exchange privacy by losing performance, or pursue performance without much consideration for privacy. Common encryption technologies to solve privacy problems, such as Homomorphic encryption and zero-knowledge proof, are highly complex, not only...

AI Technical Summary

Problems solved by technology

[0003] At present, secure multi-party computing is facing the problem of balancing privacy and performance. Most of the existing solutions are to exchange privacy by losing performance, or pursue performance without much consideration for privacy.

Common encryption technologies to solve privacy problems, such as Homomorphic encryption and zero-knowledge proof, are highly complex, not only poor in versatility, but also may cause serious performance loss

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