DocumentCode
1311559
Title
Secret Sharing and Non-Shannon Information Inequalities
Author
Beimel, Amos ; Orlov, Ilan
Author_Institution
Dept. of Comput. Sci., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Volume
57
Issue
9
fYear
2011
Firstpage
5634
Lastpage
5649
Abstract
The known secret-sharing schemes for most access structures are not efficient; even for a one-bit secret the length of the shares in the schemes is 2O(n), where n is the number of participants in the access structure. It is a long standing open problem to improve these schemes or prove that they cannot be improved. The best known lower bound is by Csirmaz, who proved that there exist access structures with n participants such that the size of the share of at least one party is n/logn times the secret size. Csirmaz´s proof uses Shannon information inequalities, which were the only information inequalities known when Csirmaz published his result. On the negative side, Csirmaz proved that by only using Shannon information inequalities one cannot prove a lower bound of ω(n) on the share size. In the last decade, a sequence of non-Shannon information inequalities were discovered. In fact, it was proved that there are infinity many independent information inequalities even in four variables. This raises the hope that these inequalities can help in improving the lower bounds beyond n . However, we show that any information inequality with four or five variables cannot prove a lower bound of ω(n) on the share size. In addition, we show that the same negative result holds for all information inequalities with more than five variables that are known to date.
Keywords
cryptography; data privacy; linear programming; Csirmaz proof; access structure; linear program; nonShannon information inequalities; secret sharing; Channel coding; Cramer-Rao bounds; Cryptography; Entropy; Mutual information; Privacy; Random variables; Linear programs; lower bounds; monotone span programs; non-Shannon information inequalities; rank inequalities; secret-sharing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2011.2162183
Filename
6006590
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