AUC: Accountable Universal Composability

Graf, Mike; Küsters, Ralf; Rausch, Daniel

doi:10.1109/sp46215.2023.10179384

Cited by 3 publications

(1 citation statement)

References 86 publications

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“…Baum et al [24] first integrated Pedersen commitments [25] with an efficient information-theoretic SPDZ protocol [10] and proposed a protocol for which any party could function as an auditor, with approximately twice the efficiency of the original SPDZ protocol. Then, the work in [26][27][28][29] built on this foundation and proposed protocols with higher security requirements or efficiency. Our work utilized a single-party HV as the validator, which has the merit that the validation phase can be executed simultaneously with the computational protocol.…”

Section: Related Workmentioning

confidence: 99%

Efficient Decision-Making Scheme Using Secure Multiparty Computation with Correctness Validation

Wang,

Liu,

Han

et al. 2023

Electronics

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In the era of big data, it is essential to securely and efficiently combine the large amounts of private data owned by different companies or organizations to make correct decisions. Secure Multiparty Computation (SMPC) works as a general cryptographic primitive, which enables distributed parties to collaboratively compute an arbitrary functionality without revealing their own private inputs. While SMPC may potentially address this task, several issues, such as computation efficiency and correctness validation, have to be overcome for practical realizations. To tackle these issues, we designed a secure and efficient decision-making scheme to enable clients to outsource data and computations to cloud servers while ensuring the integrity and confidentiality of the input and output, in addition to the correctness of the results. Moreover, we implemented our scheme based on an SMPC computation framework named MP-SPDZ. The experimental evaluation results showed that our proposed scheme is feasible and efficient for practical realizations.

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