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  1. Transactions on Computation Theory (TOCT)
  2. ACM Transactions on Computation Theory (TOCT) : Volume 6
  3. Issue 3(Special issue on innovations in theoretical computer science 2012 - Part II), July 2014
  4. (Leveled) Fully Homomorphic Encryption without Bootstrapping
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ACM Transactions on Computation Theory (TOCT) : Volume 9
ACM Transactions on Computation Theory (TOCT) : Volume 8
ACM Transactions on Computation Theory (TOCT) : Volume 7
ACM Transactions on Computation Theory (TOCT) : Volume 6
Issue 4, August 2014
Issue 3(Special issue on innovations in theoretical computer science 2012 - Part II), July 2014
Introduction to the Special Issue on Innovations in Theoretical Computer Science 2012 - Part II
Learning Hurdles for Sleeping Experts
Evolvability of Real Functions
(Leveled) Fully Homomorphic Encryption without Bootstrapping
On the One-Way Function Candidate Proposed by Goldreich
Issue 2, May 2014
Issue 1, March 2014
ACM Transactions on Computation Theory (TOCT) : Volume 5
ACM Transactions on Computation Theory (TOCT) : Volume 4
ACM Transactions on Computation Theory (TOCT) : Volume 3
ACM Transactions on Computation Theory (TOCT) : Volume 2
ACM Transactions on Computation Theory (TOCT) : Volume 1

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(Leveled) Fully Homomorphic Encryption without Bootstrapping

Content Provider ACM Digital Library
Author Brakerski, Zvika Gentry, Craig Vaikuntanathan, Vinod
Copyright Year 2014
Abstract We present a novel approach to fully homomorphic encryption (FHE) that dramatically improves performance and bases security on weaker assumptions. A central conceptual contribution in our work is a new way of constructing leveled, fully homomorphic encryption schemes (capable of evaluating arbitrary polynomial-size circuits of a-priori bounded depth), without Gentry’s bootstrapping procedure. Specifically, we offer a choice of FHE schemes based on the learning with error (LWE) or Ring LWE (RLWE) problems that have 2 $\textit{λ}$ security against known attacks. We construct the following. (1) A leveled FHE scheme that can evaluate $depth-\textit{L}$ arithmetic circuits (composed of fan-in 2 gates) using $\textit{O}(\textit{λ}.$ $\textit{L}3)$ per-gate computation, quasilinear in the security parameter. Security is based on RLWE for an approximation factor exponential in $\textit{L}.$ This construction does not use the bootstrapping procedure. (2) A leveled FHE scheme that can evaluate $depth-\textit{L}$ arithmetic circuits (composed of fan-in 2 gates) using $\textit{O}(\textit{λ}2)$ per-gate computation, which is independent of $\textit{L}.$ Security is based on RLWE for quasipolynomial factors. This construction uses bootstrapping as an optimization. We obtain similar results for LWE, but with worse performance. All previous (leveled) FHE schemes required a per-gate computation of $\textit{Ω}(\textit{λ}3.5),$ and all of them relied on subexponential hardness assumptions. We introduce a number of further optimizations to our scheme based on the Ring LWE assumption. As an example, for circuits of large width (e.g., where a constant fraction of levels have width $\textit{Ω}(\textit{λ})),$ we can reduce the per-gate computation of the bootstrapped version to $\textit{O}(\textit{λ}),$ independent of $\textit{L},$ by batching the bootstrapping operation. At the core of our construction is a new approach for managing the noise in lattice-based ciphertexts, significantly extending the techniques of Brakerski and Vaikuntanathan [2011b].
Starting Page 1
Ending Page 36
Page Count 36
File Format PDF
ISSN 19423454
e-ISSN 19423462
DOI 10.1145/2633600
Volume Number 6
Issue Number 3
Journal ACM Transactions on Computation Theory (TOCT)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-07-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Fully homomorphic encryption Lattices Learning with errors
Content Type Text
Resource Type Article
Subject Computational Theory and Mathematics Theoretical Computer Science
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