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Erschienen in:
A Simpler Variant of Universally Composable Security for Standard Multiparty Computation Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Multi-identity and Multi-key Leveled FHE from Learning with Errors

verfasst von : Michael Clear, Ciarán McGoldrick

Erschienen in: Advances in Cryptology -- CRYPTO 2015

Verlag: Springer Berlin Heidelberg

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Abstract

Gentry, Sahai and Waters recently presented the first (leveled) identity-based fully homomorphic (IBFHE) encryption scheme (CRYPTO 2013). Their scheme however only works in the single-identity setting; that is, homomorphic evaluation can only be performed on ciphertexts created with the same identity. In this work, we extend their results to the multi-identity setting and obtain a multi-identity IBFHE scheme that is selectively secure in the random oracle model under the hardness of Learning with Errors (LWE). We also obtain a multi-key fully-homomorphic encryption (FHE) scheme that is secure under LWE in the standard model. This is the first multi-key FHE based on a well-established assumption such as standard LWE. The multi-key FHE of López-Alt, Tromer and Vaikuntanathan (STOC 2012) relied on a non-standard assumption, referred to as the Decisional Small Polynomial Ratio assumption.

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Vorheriges Kapitel Quantum Homomorphic Encryption for Circuits of Low T-gate Complexity
Nächstes Kapitel From Selective to Adaptive Security in Functional Encryption
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Fußnoten
1
The paper [13] attributes this observation to Brent Waters.
 
2
Note that N (which depends on n) is itself dependent on \(\lg {q}\). For security, it is required that \(q/B = 2^{n^\epsilon }\) for some \(\epsilon \in (0, 1)\). A discussion on parameters is provided in Appendix C.
 
3
Alternatively with the additional assumption of a PRF, a lookup table could be avoided by deterministically deriving secret keys (i.e. obtaining random coins from the PRF).
 
4
\(w = \eta + 1 = \ell _q \cdot n + 1 \le \ell _q \cdot m < N\).
 
5
Note that N (which depends on n) is itself dependent on \(\lg {q}\). For security, it is required that \(q/B = 2^{n^\epsilon }\) for some \(\epsilon \in (0, 1)\). A discussion on parameters is provided in Appendix C.
 
6
A normal variable with standard deviation \(\sigma \) is within \(t \cdot \sigma \) standard deviations of its mean, except with probability at most \(\frac{1}{t} \cdot \frac{1}{e^{t^2/2}}\) [15].
 
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Metadaten
Titel
Multi-identity and Multi-key Leveled FHE from Learning with Errors
verfasst von
Michael Clear
Ciarán McGoldrick
Copyright-Jahr
2015
Verlag
Springer Berlin Heidelberg
Buch
Advances in Cryptology -- CRYPTO 2015

Print ISBN: 978-3-662-47999-5

Electronic ISBN: 978-3-662-48000-7

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-662-48000-7_31

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