Proofs of Space with Maximal Hardness

In a proof of space, a prover performs a complex computation with a large output. A verifier periodically checks that the prover still holds the output. The security goal for a proof of space construction is to ensure that a prover who erases even a portion of the output has to redo a large portion of the complex computation in order to satisfy the verifier. In existing constructions of proofs of space, the computation that a cheating prover is forced to redo is a small fraction (van-ishing or small constant) of the original complex computation. The only exception is a construction of Pietrzak (ITCS 2019) that requires extremely depth-robust graphs, which result in impractically high complexity of the initialization process. We present the first proof of space of reasonable complexity that ensures that the prover has to redo almost the entire computation (fraction arbitrarily close to 1) when trying to save even an arbitrarily small constant fraction of the space. Our construction is a generalization of an existing construction called SDR (Fisch, Eurocrypt 2019) deployed on the Filecoin blockchain. Our improvements, while general, also demonstrate that the already deployed construction has considerably better security than previously shown. Technically, our construction can be viewed as amplifying predecessor-robust graphs. These are directed acyclic graphs in which every sufficiently large set of nodes contains a large subset of nodes whose induced sub graph has just one sink. We take a predecessor-robust graph with constant-fraction parameters for the sizes of the set and subset, and build a bigger predecessor-robust graph with a near-optimal set of parameters and additional guarantees on sink placement, while increasing the degree only by a small additive constant.

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Published
2024-10-27
DOI
https://doi.org/10.1109/focs61266.2024.00076
Citations
1
Primary Topic
Structural Analysis and Optimization
Type
article
Field-Weighted Citation Impact
0.26
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article

Proofs of Space with Maximal Hardness

Leonid Reyzin
1 citations
Structural Analysis and Optimization
0.26
article

Proofs of Space with Maximal Hardness

Leonid Reyzin
article en
1 citations

Abstract

In a proof of space, a prover performs a complex computation with a large output. A verifier periodically checks that the prover still holds the output. The security goal for a proof of space construction is to ensure that a prover who erases even a portion of the output has to redo a large portion of the complex computation in order to satisfy the verifier. In existing constructions of proofs of space, the computation that a cheating prover is forced to redo is a small fraction (van-ishing or small constant) of the original complex computation. The only exception is a construction of Pietrzak (ITCS 2019) that requires extremely depth-robust graphs, which result in impractically high complexity of the initialization process. We present the first proof of space of reasonable complexity that ensures that the prover has to redo almost the entire computation (fraction arbitrarily close to 1) when trying to save even an arbitrarily small constant fraction of the space. Our construction is a generalization of an existing construction called SDR (Fisch, Eurocrypt 2019) deployed on the Filecoin blockchain. Our improvements, while general, also demonstrate that the already deployed construction has considerably better security than previously shown. Technically, our construction can be viewed as amplifying predecessor-robust graphs. These are directed acyclic graphs in which every sufficiently large set of nodes contains a large subset of nodes whose induced sub graph has just one sink. We take a predecessor-robust graph with constant-fraction parameters for the sizes of the set and subset, and build a bigger predecessor-robust graph with a near-optimal set of parameters and additional guarantees on sink placement, while increasing the degree only by a small additive constant.

Boston University (US)
Climate action
Openalex Percentile: Top 43%
Structural Analysis and Optimization
0.26
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Proofs of Space with Maximal Hardness — Leonid Reyzin · (2024) | TGRS Research Map | TGRS