Trusted Execution Environment for Multi-Party Computation
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Solution Overview
Problem
Current multi-party computation (MPC) techniques, relying on homomorphic encryption and secret sharing circuits, consume excessive computing resources and require numerous small data packet exchanges, making them impractical for wide area network-based computing environments like cloud or edge computing.
Innovation Solution
Integration of a trusted execution platform (TEP) with an MPC framework, utilizing secure channels and enclaves to protect sensitive data and computations, decoupling input-output operations from the computation function and ensuring secure communication through attestation and provisioning services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If homomorphic encryption and secret sharing circuits are used for multi-party computation, then data security is improved, but computing resource consumption increases significantly
Solution Approach 1:
The patent introduces a trusted execution environment (TEE) as an intermediary between the computation function and external parties. The TEE provides a secure enclave that performs computations on encrypted data without requiring complex homomorphic encryption operations, thereby maintaining data security while significantly reducing computing resource consumption. The TEE acts as a mediator that combines the security benefits of encryption with the efficiency of conventional computation.
2Reliability
If secret sharing circuits are used for multi-party computation, then data security is improved, but network communication efficiency deteriorates due to numerous small data packet exchanges
Solution Approach 1:
The patent merges multiple small data packet exchanges into fewer, larger communication operations by utilizing the trusted execution environment. The TEE allows for batch processing of data and consolidates communication rounds, reducing the number of network interactions required while maintaining the security properties of secret sharing. This combining approach significantly improves network communication efficiency.
3Reliability
If homomorphic encryption circuits are used for multi-party computation, then data security is improved, but device complexity increases due to large volume and depth of encryption circuits
Solution Approach 1:
The patent extracts the complex homomorphic encryption circuitry and replaces it with a trusted execution environment that provides equivalent security through hardware-based isolation and cryptographic primitives. The TEE offloads the computational burden of complex encryption operations to a specialized secure processing unit, thereby reducing the complexity of the overall system while maintaining data security guarantees.
Data Source
AI summary
Techniques for integrating a trusted execution platform with a multi-party computation framework are disclosed. For example, a method comprises receiving a plurality of keys from a plurality of parties, wherein respective ones of the plurality of keys correspond to respective ones of the plurality of parties. The respective ones of the plurality of keys are used in connection with establishing one or more secure channels for communicating with the respective ones of the plurality of parties. The method further comprises receiving respective data inputs from the respective ones of the plurality of parties over the one or more secure channels, and sending the respective data inputs to a computation function to compute at least one output based on the respective data inputs. The at least one output is sent over the one or more secure channels to at least one party of the plurality of parties.