You are looking at a specific version 20210402:225000 of this paper. See the latest version.

Paper 2020/1618

Proof-Carrying Data without Succinct Arguments

Benedikt Bünz and Alessandro Chiesa and William Lin and Pratyush Mishra and Nicholas Spooner

Abstract

Proof-carrying data (PCD) is a powerful cryptographic primitive that enables mutually distrustful parties to perform distributed computations that run indefinitely. Known approaches to construct PCD are based on succinct non-interactive arguments of knowledge (SNARKs) that have a succinct verifier or a succinct accumulation scheme. In this paper we show how to obtain PCD without relying on SNARKs. We construct a PCD scheme given any non-interactive argument of knowledge (e.g., with linear-size arguments) that has a *split accumulation scheme*, which is a weak form of accumulation that we introduce. Moreover, we construct a transparent non-interactive argument of knowledge for R1CS whose split accumulation is verifiable via a (small) *constant number of group and field operations*. Our construction is proved secure in the random oracle model based on the hardness of discrete logarithms, and it leads, via the random oracle heuristic and our result above, to concrete efficiency improvements for PCD. Along the way, we construct a split accumulation scheme for Hadamard products under Pedersen commitments and for a simple polynomial commitment scheme based on Pedersen commitments. Our results are supported by a modular and efficient implementation.

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint. MINOR revision.
Keywords
proof-carrying dataaccumulation schemesrecursive proof composition
Contact author(s)
benedikt @ cs stanford edu,alexch @ berkeley edu,pratyush @ berkeley edu,nspooner @ bu edu
History
2021-12-01: last of 5 revisions
2020-12-31: received
See all versions
Short URL
https://ia.cr/2020/1618
License
Creative Commons Attribution
CC BY
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.