Difference between revisions of "Open Problems:79"

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Cryptogenography is concerned with the following question.  "How to share a secret without revealing the secret owner?"  Please see Brody et al. {{cite|BJSW-14}} and Jakobsen {{cite|J-16}}.
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In this problem, there are $k$ players and an eavesdropper.  Input is a random bit $X \in \{0,1\}$, also called "the secret."  The secret owner $J$ is chosen uniformly at random from $[k]$.  Players have private randomness and they can communicate publicly on a shared blackboard visible to everyone.  Players are said to win if
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* everyone learns the secret, and
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* eavesdropper does not guess the secret owner correctly.
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We are interested in maximizing the probability that players win (maximum success probability).
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For $k=2$, the following trivial protocol has success probability $0.25$.  Just output $1$.  It can be shown easily that maximum success probability is at most $0.5$.  The bounds can be improved to $0.3384 \le $ maximum success probability $\le 0.361$.
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For large $k$, the following bounds can be shown:  $0.5644 \le $ maximum success probability $\le 0.75$.
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Can we improve these bounds?
  
  
 
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Revision as of 21:38, 31 March 2017

Suggested by Joshua Brody
Source Banff 2017
Short link https://sublinear.info/79

Cryptogenography is concerned with the following question. "How to share a secret without revealing the secret owner?" Please see Brody et al. [BJSW-14] and Jakobsen [J-16].

In this problem, there are $k$ players and an eavesdropper. Input is a random bit $X \in \{0,1\}$, also called "the secret." The secret owner $J$ is chosen uniformly at random from $[k]$. Players have private randomness and they can communicate publicly on a shared blackboard visible to everyone. Players are said to win if

  • everyone learns the secret, and
  • eavesdropper does not guess the secret owner correctly.

We are interested in maximizing the probability that players win (maximum success probability).

For $k=2$, the following trivial protocol has success probability $0.25$. Just output $1$. It can be shown easily that maximum success probability is at most $0.5$. The bounds can be improved to $0.3384 \le $ maximum success probability $\le 0.361$.

For large $k$, the following bounds can be shown: $0.5644 \le $ maximum success probability $\le 0.75$.

Can we improve these bounds?