Circuit-ABE from LWE: Unbounded attributes and semi-adaptive security

Zvika Brakerski, Vinod Vaikuntanathan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We construct an LWE-based key-policy attribute-based encryption (ABE) scheme that supports attributes of unbounded polynomial length. Namely, the size of the public parameters is a fixed polynomial in the security parameter and a depth bound, and with these fixed length parameters, one can encrypt attributes of arbitrary length. Similarly, any polynomial size circuit that adheres to the depth bound can be used as the policy circuit regardless of its input length (recall that a depth d circuit can have as many as 2d inputs). This is in contrast to previous LWE-based schemes where the length of the public parameters has to grow linearly with the maximal attribute length. We prove that our scheme is semi-adaptively secure, namely, the adversary can choose the challenge attribute after seeing the public parameters (but before any decryption keys). Previous LWE-based constructions were only able to achieve selective security. (We stress that the “complexity leveraging” technique is not applicable for unbounded attributes). We believe that our techniques are of interest at least as much as our end result. Fundamentally, selective security and bounded attributes are both shortcomings that arise out of the current LWE proof techniques that program the challenge attributes into the public parameters. The LWE toolbox we develop in this work allows us to delay this programming. In a nutshell, the new tools include a way to generate an a-priori unbounded sequence of LWE matrices, and have fine-grained control over which trapdoor is embedded in each and every one of them, all with succinct representation.

Original languageEnglish
Title of host publicationAdvances in Cryptology - 36th Annual International Cryptology Conference, CRYPTO 2016, Proceedings
EditorsMatthew Robshaw, Jonathan Katz
PublisherSpringer Verlag
Pages363-384
Number of pages22
ISBN (Print)9783662530146
DOIs
StatePublished - 2016
Event36th Annual International Cryptology Conference, CRYPTO 2016 - Santa Barbara, United States
Duration: 14 Aug 201618 Aug 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9816

Conference

Conference36th Annual International Cryptology Conference, CRYPTO 2016
Country/TerritoryUnited States
CitySanta Barbara
Period14/08/1618/08/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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