On the Local Leakage Resilience of Linear Secret Sharing Schemes


We consider the following basic question: to what extent are standard secret sharing schemes and protocols for secure multiparty computation that build on them resilient to leakage? We focus on a simple local leakage model, where the adversary can apply an arbitrary function of a bounded output length to the secret state of each party, but cannot otherwise learn joint information about the states. We show that additive secret sharing schemes and high-threshold instances of Shamir’s secret sharing scheme are secure under local leakage attacks when the underlying field is of a large prime order and the number of parties is sufficiently large. This should be contrasted with the fact that any linear secret sharing scheme over a small characteristic field is clearly insecure under local leakage attacks, regardless of the number of parties. Our results are obtained via tools from Fourier analysis and additive combinatorics. We present two types of applications of the above results and techniques. As a positive application, we show that the “GMW protocol” for honest-but-curious parties, when implemented using shared products of random field elements (so-called “Beaver Triples”), is resilient in the local leakage model for sufficiently many parties and over certain fields. This holds even when the adversary has full access to a constant fraction of the views. As a negative application, we rule out multiparty variants of the share conversion scheme used in the 2-party homomorphic secret sharing scheme of Boyle et al. (in: Crypto, 2016).

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  1. 1.

    In the whole paper, a (nt)-Shamir’s secret sharing scheme or Shamir’s secret sharing scheme with (reconstruction) threshold t uses polynomials of degree \(t-1\), so that the secret cannot be recovered from a collusion of less t parties. The secret can be recovered from the shares of t parties.

  2. 2.

    This can be done by locally adding shares of an arbitrary \((n,\alpha 'n)\)-Shamir’s sharing of 0 to the given \((n,\alpha n)\)-Shamir’s shares for \( \alpha ' > \alpha \).

  3. 3.

    A Beaver triple consists of (abab) where ab are randomly chosen field elements.

  4. 4.

    To recall, in the quotient group \( \mathbb {F}_{2^k} \diagup A_0 \), the elements are the cosets \( A_0, A_1 \). The sum of two cosets is the coset formed by the sum of elements of the first coset with elements of the second coset. Concretely, we have \( A_0 + A_0 = A_0 \), \( A_0 + A_1 = A_1 \), and \(A_1 + A_1 = A_0\).

  5. 5.

    We abuse notation and sometimes consider elements of \(\mathbb {F}_{2^k}\) as vectors in \(\mathbb {F}_{2}^k\).

  6. 6.

    While the constant \( c_L \) has a some dependence on p, whereby it decreases as p increases, it is dwarfed by the \( p^{n-t} \) term.

  7. 7.

    A relation is trivial if no matter what secret is shared, a constant output by the conversion scheme would satisfy correctness. Or put another way, in a non-trivial relation R, there exist \( s_0 \) and \( s_1 \) such that \( s_0 \) has to be mapped to 0 and \( s_1 \) has to be mapped to 1 by the relation R.

  8. 8.

    We consider more general case in Sect. 6 which also tolerates a higher error probability of 1/6.

  9. 9.

    Both complexity measures do not assign complexity to all possible linear forms. To give an example, the linear form \(( L_1(x) = x, L_2(x) = x+2 )\), which corresponds to the twin primes conjecture, is not assigned a complexity value and the twin primes conjecture is still open.

  10. 10.

    \( z_1 \circ z_2 = x_1x_2 + y_1y_2 \) where \( z_b = x_b + i\cdot y_b \) is the dot product of \( z_1 \) and \( z_2 \). Equivalently, \( z_1 \circ z_2 = |z_1| |z_2| \cos \theta \) where \( \theta \) is the angle between \( z_1 \) and \( z_2 \).

  11. 11.

    As in [37], we do not need to use the standard convolution, which is normally defined as \(f \star g: \mathbb {G}\rightarrow \mathbb {C}\), \((f \star g)(y) = \mathbb {E}_{x \leftarrow \mathbb {G}} {[ f(x) \cdot g(y - x) ]}\).


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We thank Anat Paskin-Cherniavsky for pointing out an error in an earlier version of Theorem 1.2. We thank Andrej Bogdanov, one of our JoC reviewers, for pointing out the current simpler proof of Lemma 4.21 that greatly simplifies the proof of Theorem 1.2 and sharpens its bound. We thank Serge Fehr, our Journal of Cryptology editor, and the anonymous reviewers of Crypto 2018 and JoC for their valuable comments.

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Correspondence to Akshay Degwekar.

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An extended abstract of this paper appeared in [6].

F. Benhamouda and T. Rabin: Research done while at IBM Research and supported by the Defense Advanced Research Projects Agency (DARPA) and Army Research Office (ARO) under Contract No. W911NF-15-C-0236. A. Degwekar: The views expressed herein are solely the views of the author(s) and are not necessarily the views of Two Sigma Investments, LP or any of its affiliates. They are not intended to provide, and should not be relied upon for, investment advice. This work was done when the author was a graduate student at MIT and a summer intern at IBM Research. Research supported in part by NSF Grants CNS-1413920 and CNS-1350619, and by the Defense Advanced Research Projects Agency (DARPA) and the U.S. Army Research Office under contracts W911NF-15-C-0226 and W911NF-15-C-0236. Y. Ishai: Research supported in part by ERC Grant 742754, ISF Grant 1709/14, and NSF-BSF Grant 2015782, and a grant from the Ministry of Science and Technology, Israel and Department of Science and Technology, Government of India.

Communicated by Serge Fehr.

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Benhamouda, F., Degwekar, A., Ishai, Y. et al. On the Local Leakage Resilience of Linear Secret Sharing Schemes. J Cryptol 34, 10 (2021). https://doi.org/10.1007/s00145-021-09375-2

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  • Leakage resilience
  • Secret sharing
  • Fourier analysis