IACR News item: 25 July 2012
Laszlo Csirmaz
ePrint Reportprobability spaces and possibly infinite number of participants lets us
investigate abstract properties of such schemes. It highlights important
properties, explains why certain definitions work better than others,
connects this topic to other branches of mathematics, and might yield new
design paradigms.
A {\\em probabilistic secret sharing scheme} is a joint probability
distribution of the shares and the secret together with a collection of {\\em
secret recovery functions} for qualified subsets. The scheme is measurable
if the recovery functions are measurable. Depending on how much information
an unqualified subset might have, we define four scheme types: {\\em
perfect}, {\\em almost perfect}, {\\em ramp}, and {\\em almost ramp}. Our main
results characterize the access structures which can be realized by schemes
of these types.
We show that every access structure can be realized by a non-measurable
perfect probabilistic scheme. The construction is based on a paradoxical
pair of independent random variables which determine each other.
For measurable schemes we have the following complete characterization. An
access structure can be realized by a (measurable) perfect, or almost
perfect scheme if and only if the access structure, as a subset of the
Sierpi\\\'nski space $\\{0,1\\}^P$, is open, if and only if it can be realized
by a span program. The access structure can be realized by a (measurable)
ramp or almost ramp scheme if and only if the access structure is a
$G_\\delta$ set (intersection of countably many open sets) in the
Sierpi\\\'nski topology, if and only if it can be realized by a Hilbert-space
program.
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