Paper 2018/011
Graded Encoding Schemes from Obfuscation
Pooya Farshim, Julia Hesse, Dennis Hofheinz, and Enrique Larraia
Abstract
We construct a graded encoding scheme (GES), an approximate form of graded multilinear maps. Our construction relies on indistinguishability obfuscation, and a pairing-friendly group in which (a suitable variant of) the strong Diffie--Hellman assumption holds. As a result of this abstract approach, our GES has a number of advantages over previous constructions. Most importantly: a) We can prove that the multilinear decisional Diffie--Hellman (MDDH) assumption holds in our setting, assuming the used ingredients are secure (in a well-defined and standard sense). In particular, and in contrast to previous constructions, our GES does not succumb to so-called ``zeroizing'' attacks. Indeed, our scheme is currently the only GES for which no known cryptanalysis applies. b) Encodings in our GES do not carry any noise. Thus, unlike previous GES constructions, there is no upper bound on the number of operations one can perform with our encodings. Hence, our GES essentially realizes what Garg et al.~(EUROCRYPT 2013) call the ``dream version'' of a GES. Technically, our scheme extends a previous, non-graded approximate multilinear map scheme due to Albrecht et al.~(TCC 2016-A). To introduce a graded structure, we develop a new view of encodings at different levels as polynomials of different degrees.
Metadata
- Available format(s)
- Category
- Foundations
- Publication info
- Published by the IACR in PKC 2018
- Keywords
- Multilinear mapsgraded encoding schemesindistinguishability obfuscation
- Contact author(s)
- julia hesse @ crisp-da de
- History
- 2018-04-12: revised
- 2018-01-03: received
- See all versions
- Short URL
- https://ia.cr/2018/011
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2018/011, author = {Pooya Farshim and Julia Hesse and Dennis Hofheinz and Enrique Larraia}, title = {Graded Encoding Schemes from Obfuscation}, howpublished = {Cryptology {ePrint} Archive, Paper 2018/011}, year = {2018}, url = {https://eprint.iacr.org/2018/011} }