### Verifiable Delegation of Computation over Large Datasets

Siavosh Benabbas, Rosario Gennaro, and Yevgeniy Vahlis

##### Abstract

We study the problem of computing on large datasets that are stored on an untrusted server. We follow the approach of \emph{amortized verifiable computation} introduced by Gennaro, Gentry, and Parno in CRYPTO 2010. We present the first practical verifiable computation scheme for high degree polynomial functions. Such functions can be used, for example, to make predictions based on polynomials fitted to a large number of sample points in an experiment. In addition to the many non-cryptographic applications of delegating high degree polynomials, we use our verifiable computation scheme to obtain new solutions for verifiable keyword search, and proofs of retrievability. Our constructions are based on the DDH assumption and its variants, and achieve adaptive security, which was left as an open problem by Gennaro \etal (albeit for general functionalities). Our second result is a primitive which we call a \emph{verifiable database} (VDB). Here, a weak client outsources a large table to an untrusted server, and makes retrieval and update queries. For each query, the server provides a response and a proof that the response was computed correctly. The goal is to minimize the resources required by the client. This is made particularly challenging if the number of update queries is unbounded. We present a VDB scheme based on the hardness of the subgroup membership problem in composite order bilinear groups.

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Available format(s)
Category
Cryptographic protocols
Publication info
Published elsewhere. An extended abstract of this paper will be published in the proceedings of Crypto'11
Keywords
verifiable computationdiffie-hellmanbilinear maps
Contact author(s)
evahlis @ cs columbia edu
History
2011-07-11: last of 3 revisions
See all versions
Short URL
https://ia.cr/2011/132

CC BY

BibTeX

@misc{cryptoeprint:2011/132,
author = {Siavosh Benabbas and Rosario Gennaro and Yevgeniy Vahlis},
title = {Verifiable Delegation of Computation over Large Datasets},
howpublished = {Cryptology ePrint Archive, Paper 2011/132},
year = {2011},
note = {\url{https://eprint.iacr.org/2011/132}},
url = {https://eprint.iacr.org/2011/132}
}

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