On the Power of Amortization in Secret Sharing

Author:

Applebaum Benny1,Arkis Barak1

Affiliation:

1. Tel Aviv University

Abstract

Consider the following secret-sharing problem: A file s should be distributed between n servers such that (d-1)-subsets cannot recover the file, (d+1)-subsets can recover the file, and d -subsets should be able to recover s if and only if they appear in some pre-defined list L . The goal is to minimize the information ratio—that is, the number of bits stored on a server per each bit of the secret. We show that for any constant d and any pre-defined list L , if the file is sufficiently long (exponential in n d ), the problem can be solved with a constant asymptotic information ratio of c d that does not grow with the number of servers n . This result is based on a new construction of d -party conditional disclosure of secrets for arbitrary predicates over an n -size domain in which each party communicates at most four bits per secret bit. In both settings, previous results achieved a non-constant information ratio that grows asymptotically with n , even for the simpler special case of d = 2 . Moreover, our constructions yield the first example of an access structure whose amortized information ratio is constant, whereas its best-known non-amortized information ratio is sub-exponential, thus providing a unique evidence for the potential power of amortization in the context of secret sharing. Our main result applies to exponentially long secrets, and so it should be mainly viewed as a barrier against amortizable lower-bound techniques. We also show that in some natural simple cases (e.g., low-degree predicates), amortization kicks in even for quasi-polynomially long secrets. Finally, we prove some limited lower bounds and point out some limitations of existing lower-bound techniques.

Funder

H2020 European Research Council

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Theory and Mathematics,Theoretical Computer Science

Reference34 articles.

1. The Communication Complexity of Private Simultaneous Messages, Revisited

2. Lecture Notes in Computer Science;Beimel Amos

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