Zero-knowledge elementary databases with more expressive queries

Zero-knowledge elementary databases (ZK-EDBs) are cryptographic schemes that allow a prover to commit to a set D of key-value pairs so as to be able to prove statements such as “x belongs to the support of D and ( )= ” or “x is not in the support of D”. Importantly, proofs should leak no informatio...

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Main Authors: Libert, Benoǐt, Nguyen, Khoa, Tan, Benjamin Hong Meng, Wang, Huaxiong
Other Authors: School of Physical and Mathematical Sciences
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/142921
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1429212023-02-28T19:17:49Z Zero-knowledge elementary databases with more expressive queries Libert, Benoǐt Nguyen, Khoa Tan, Benjamin Hong Meng Wang, Huaxiong School of Physical and Mathematical Sciences 22nd IACR International Conference on Practice and Theory of Public-Key Cryptography (PKC 2019) Engineering::Computer science and engineering Zero-knowledge Databases Expressive Queries Zero-knowledge elementary databases (ZK-EDBs) are cryptographic schemes that allow a prover to commit to a set D of key-value pairs so as to be able to prove statements such as “x belongs to the support of D and ( )= ” or “x is not in the support of D”. Importantly, proofs should leak no information beyond the proven statement and even the size of D should remain private. Chase et al. (Eurocrypt’05) showed that ZK-EDBs are implied by a special flavor of non-interactive commitment, called mercurial commitment, which enables efficient instantiations based on standard number theoretic assumptions. On the other hand, the resulting ZK-EDBs are only known to support proofs for simple statements like (non-)membership and value assignments. In this paper, we show that mercurial commitments actually enable significantly richer queries. We show that, modulo an additional security property met by all known efficient constructions, they actually enable range queries over keys and values – even for ranges of super-polynomial size – as well as membership/non-membership queries over the space of values. Beyond that, we exploit the range queries to realize richer queries such as k-nearest neighbors and revealing the k smallest or largest records within a given range. In addition, we provide a new realization of trapdoor mercurial commitment from standard lattice assumptions, thus obtaining the most expressive quantum-safe ZK-EDB construction so far. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Accepted version 2020-07-09T09:13:48Z 2020-07-09T09:13:48Z 2019 Conference Paper Libert, B., Nguyen, K., Tan, B. H. M., & Wang, H. (2019). Zero-knowledge elementary databases with more expressive queries. Proceedings of 22nd IACR International Conference on Practice and Theory of Public-Key Cryptography (PKC 2019), 11442, 255-285. doi:10.1007/978-3-030-17253-4_9 9783030172527 https://hdl.handle.net/10356/142921 10.1007/978-3-030-17253-4_9 2-s2.0-85064937058 11442 255 285 en © 2019 International Association for Cryptologic Research. All rights reserved. This paper was published by Springer in Proceedings of 22nd IACR International Conference on Practice and Theory of Public-Key Cryptography (PKC 2019) and is made available with permission of International Association for Cryptologic Research. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Zero-knowledge Databases
Expressive Queries
spellingShingle Engineering::Computer science and engineering
Zero-knowledge Databases
Expressive Queries
Libert, Benoǐt
Nguyen, Khoa
Tan, Benjamin Hong Meng
Wang, Huaxiong
Zero-knowledge elementary databases with more expressive queries
description Zero-knowledge elementary databases (ZK-EDBs) are cryptographic schemes that allow a prover to commit to a set D of key-value pairs so as to be able to prove statements such as “x belongs to the support of D and ( )= ” or “x is not in the support of D”. Importantly, proofs should leak no information beyond the proven statement and even the size of D should remain private. Chase et al. (Eurocrypt’05) showed that ZK-EDBs are implied by a special flavor of non-interactive commitment, called mercurial commitment, which enables efficient instantiations based on standard number theoretic assumptions. On the other hand, the resulting ZK-EDBs are only known to support proofs for simple statements like (non-)membership and value assignments. In this paper, we show that mercurial commitments actually enable significantly richer queries. We show that, modulo an additional security property met by all known efficient constructions, they actually enable range queries over keys and values – even for ranges of super-polynomial size – as well as membership/non-membership queries over the space of values. Beyond that, we exploit the range queries to realize richer queries such as k-nearest neighbors and revealing the k smallest or largest records within a given range. In addition, we provide a new realization of trapdoor mercurial commitment from standard lattice assumptions, thus obtaining the most expressive quantum-safe ZK-EDB construction so far.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Libert, Benoǐt
Nguyen, Khoa
Tan, Benjamin Hong Meng
Wang, Huaxiong
format Conference or Workshop Item
author Libert, Benoǐt
Nguyen, Khoa
Tan, Benjamin Hong Meng
Wang, Huaxiong
author_sort Libert, Benoǐt
title Zero-knowledge elementary databases with more expressive queries
title_short Zero-knowledge elementary databases with more expressive queries
title_full Zero-knowledge elementary databases with more expressive queries
title_fullStr Zero-knowledge elementary databases with more expressive queries
title_full_unstemmed Zero-knowledge elementary databases with more expressive queries
title_sort zero-knowledge elementary databases with more expressive queries
publishDate 2020
url https://hdl.handle.net/10356/142921
_version_ 1759856646178209792