Noam Livne

Matroids can be far from ideal secret sharing

In a secret-sharing scheme, a secret value is distributed among a set of parties by giving each party a share. The requirement is that only predefined subsets of parties can recover the secret from their shares. The family of the predefined authorized subsets is called the access structure. An access structure is ideal if there exists a secret-sharing scheme realizing it in which the shares have optimal length, that is, in which the shares are taken from the same domain as the secrets. Brickell and Davenport (J. of Cryptology, 1991) proved that ideal access structures are induced by matroids. Subsequently, ideal access structures and access structures induced by matroids have received a lot of attention. Seymour (J. of Combinatorial Theory, 1992) gave the first example of an access structure induced by a matroid, namely the Vamos matroid, that is non-ideal. Beimel and Livne (TCC 2006) presented the first non-trivial lower bounds on the size of the domain of the shares for secret-sharing schemes realizing an access structure induced by the Vamos matroid. In this work, we substantially improve those bounds by proving that the size of the domain of the shares in every secret-sharing scheme for those access structures is at least k1.1, where k is the size of the domain of the secrets (compared to k + Ω(√k) in previous works). Our bounds are obtained by using non-Shannon inequalities for the entropy function. The importance of our results are: (1) we present the first proof that there exists an access structure induced by a matroid which is not nearly ideal, and (2) we present the first proof that there is an access structure whose information rate is strictly between 2/3 and 1. In addition, we present a better lower bound that applies only to linear secret-sharing schemes realizing the access structures induced by the Vamos matroid.

On Matroids and Nonideal Secret Sharing

Secret-sharing schemes are a tool used in many cryptographic protocols. In these schemes, a dealer holding a secret string distributes shares to the parties such that only authorized subsets of participants can reconstruct the secret from their shares. The collection of authorized sets is called an access structure. An access structure is ideal if there is a secret-sharing scheme realizing it such that the shares are taken from the same domain as the secrets. Brickell and Davenport (Journal of Cryptology, 1991) have shown that ideal access structures are closely related to matroids. They give a necessary condition for an access structure to be ideal-the access structure must be induced by a matroid. Seymour (Journal of Combinatorial Theory B, 1992) has proved that the necessary condition is not sufficient: There exists an access structure induced by a matroid that does not have an ideal scheme. The research on access structures induced by matroids is continued in this work. The main result in this paper is strengthening the result of Seymour. It is shown that in any secret-sharing scheme realizing the access structure induced by the Vamos matroid with domain of the secrets of size k, the size of the domain of the shares is at least k + Omega(radic(k)). The second result considers nonideal secret-sharing schemes realizing access structures induced by matroids. It is proved that the fact that an access structure is induced by a matroid implies lower and upper bounds on the size of the domain of shares of subsets of participants even in nonideal schemes (as long as the shares are still relatively short). This generalized results of Brickell and Davenport for ideal schemes. Finally, an example of a nonideal access structure that is nearly ideal is presented.

All Natural NP-Complete Problems Have Average-Case Complete Versions

Abstract.The theory of average case complexity studies the expected complexity of computational tasks under various specific distributions on the instances, rather than their worst case complexity. Thus, this theory deals with distributional problems, defined as pairs each consisting of a decision problem and a probability distribution over the instances. While for applications utilizing hardness, such as cryptography, one seeks an efficient algorithm that outputs random instances of some problem that are hard for any algorithm with high probability, the resulting hard distributions in these cases are typically highly artificial, and do not establish the hardness of the problem under “interesting” or “natural” distributions. This paper studies the possibility of proving generic hardness results (i.e., for a wide class of

Sequential rationality in cryptographic protocols

{\mathcal{NP}}

On matroids and non-ideal secret sharing

-complete problems), under “natural” distributions. Since it is not clear how to define a class of “natural” distributions for general

On the Construction of One-Way Functions from Average Case Hardness

{\mathcal{NP}}