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Revisiting the Efficiency of Asynchronous MPC with Optimal Resilience Against General Adversaries

Authors:
Ananya Appan
Anirudh Chandramouli
Ashish Choudhury
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DOI: 10.1007/s00145-023-09457-3
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Abstract: In this paper, we design unconditionally secure multi-party computation (MPC) protocols in the asynchronous communication setting with optimal resilience. Our protocols are secure against a computationally unbounded malicious adversary characterized by an adversary structure $$\mathcal {Z}$$ Z , which enumerates all possible subsets of potentially corrupt parties. We present protocols with both perfect-security , as well as with statistical-security . While the protocols in the former class achieve all the security properties in an error-free fashion, the protocols belonging to the latter category achieve all the security properties except with a negligible error. Our perfectly secure protocol incurs an amortized communication of $$\mathcal {O}(|\mathcal {Z}|^2)$$ O ( | Z | 2 ) bits per multiplication. This improves upon the protocol of Choudhury and Pappu (INDOCRYPT 2020) with the least known amortized communication complexity of $$\mathcal {O}(|\mathcal {Z}|^3)$$ O ( | Z | 3 ) bits per multiplication. On the other hand, our statistically secure protocol incurs an amortized communication of $$\mathcal {O}(|\mathcal {Z}|)$$ O ( | Z | ) bits per multiplication. This is the first statistically secure asynchronous MPC protocol against general adversaries. Previously, perfectly secure and statistically secure MPC with an amortized communication cost of $$\mathcal {O}(|\mathcal {Z}|^2)$$ O ( | Z | 2 ) and $$\mathcal {O}(|\mathcal {Z}|)$$ O ( | Z | ) bits, respectively, per multiplication was known only in the relatively simpler synchronous communication setting (Hirt and Tschudi in ASIACRYPT, Springer, 2013).
BibTeX
@article{jofc-2023-33335,
  title={Revisiting the Efficiency of Asynchronous MPC with Optimal Resilience Against General Adversaries},
  journal={Journal of Cryptology},
  publisher={Springer},
  volume={36},
  doi={10.1007/s00145-023-09457-3},
  author={Ananya Appan and Anirudh Chandramouli and Ashish Choudhury},
  year=2023
}