2012
DOI: 10.1007/978-3-642-32009-5_10
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Secret Sharing Schemes for Very Dense Graphs

Abstract: A secret-sharing scheme realizes a graph if every two vertices connected by an edge can reconstruct the secret while every independent set in the graph does not get any information on the secret. Similar to secret-sharing schemes for general access structures, there are gaps between the known lower bounds and upper bounds on the share size for graphs. Motivated by the question of what makes a graph "hard" for secret-sharing schemes (that is, require large shares), we study very dense graphs, that is, graphs wh… Show more

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Cited by 14 publications
(18 citation statements)
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“…The best lower bound for total share size required to realize a graph access structure by a linear secret-sharing scheme is Ω(N 3/2 ) [7]. The problem of secret sharing for dense graphs was studied in [8]. Additional references on secret sharing of graph access structures can be found in [8].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The best lower bound for total share size required to realize a graph access structure by a linear secret-sharing scheme is Ω(N 3/2 ) [7]. The problem of secret sharing for dense graphs was studied in [8]. Additional references on secret sharing of graph access structures can be found in [8].…”
Section: Related Workmentioning
confidence: 99%
“…The problem of secret sharing for dense graphs was studied in [8]. Additional references on secret sharing of graph access structures can be found in [8].…”
Section: Related Workmentioning
confidence: 99%
“…Farrás and Padró formalized the concept of hierarchical access structure [7]. Secret sharing schemes based on graph access structures were also proposed [8]- [10]. These schemes obtain the optimal information rates for some access structures, but these schemes cannot be applied to many access structures.…”
Section: Introductionmentioning
confidence: 99%
“…It is an open problem to narrow this gap. It is interesting to note that the lower bound comes from a sparse graph (the maximal degree is o(n)), while the upper bound requires dense (Ω(n) average degree), but not very dense (n − o(n) average degree) graphs, see [2].…”
Section: Introductionmentioning
confidence: 99%