Abstract
The paper addresses the cheating prevention in secret sharing. We consider secret sharing with binary shares. The secret also is binary. This model allows us to use results and constructions from the well developed theory of cryptographically strong boolean functions. In particular, we prove that for given secret sharing, the average cheating probability over all cheating vectors and all original vectors, i.e., 1/n 2^n ∑ _c=1...n ∑ _α ∈V n ρ _c,α , denoted by øverlineρ , satisfies øverlineρ ≥ \frac12 , and the equality holds if and only if ρ _c,α satisfies ρ _c,α = \frac12 for every cheating vector δ _c and every original vector α . In this case the secret sharing is said to be cheating immune. We further establish a relationship between cheating-immune secret sharing and cryptographic criteria of boolean functions.This enables us to construct cheating-immune secret sharing.
Highlights
Since its invention in 1978 by Blakley (Bla79) and Shamir (Sha79), secret sharing has evolved dramatically
In this paper we identify conditions for which (a) hold and as the result we introduce the concept of cheating-immune secret sharing
Since c is an arbitrarily integer with 1 ≤ c ≤ n, we have proved that the secret sharing is cheating immune
Summary
Since its invention in 1978 by Blakley (Bla79) and Shamir (Sha79), secret sharing has evolved dramatically. We focus our attention on unconditionally secure secret sharing In this setting, cheating can be thwarted by. Discouraging cheaters from sending invalid shares to the combiner – this argument works if the cheater gains no advantage over honest participants. In other words, sending invalid share will result with recovery of an invalid secret which gives no clues to the cheater as to the value of the valid secret. This paper investigates this case of cheater prevention. The cheating immunity was considered in (PZ01) and this paper continues this line of the study by investigating the connection between secret sharing and cryptographically strong boolean functions.
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More From: Discrete Mathematics & Theoretical Computer Science
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