Abstract
| Language | English |
|---|---|
| Number of pages | 10 |
| State | Published - 2016 |
Publication series
| Name | IACR eprint archive |
|---|
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A trivial debiasing scheme for helper data systems. / Skoric, B.
10 p. 2016, . (IACR eprint archive).Research output: Other contribution › Other research output
TY - GEN
T1 - A trivial debiasing scheme for helper data systems
AU - Skoric,B.
PY - 2016
Y1 - 2016
N2 - We introduce a debiasing scheme that solves the more-noise-than-entropy problem which can occur in Helper Data Systems when the source is very biased. We perform a condensing step, similar to Index Based Syndrome coding, that reduces the size of the source space in such a way that some source entropy is lost while the noise entropy is greatly reduced. In addition, our method allows for even more entropy extraction by means of a `spamming' technique. Our method outperforms solutions based on the one-pass von Neumann algorithm.
AB - We introduce a debiasing scheme that solves the more-noise-than-entropy problem which can occur in Helper Data Systems when the source is very biased. We perform a condensing step, similar to Index Based Syndrome coding, that reduces the size of the source space in such a way that some source entropy is lost while the noise entropy is greatly reduced. In addition, our method allows for even more entropy extraction by means of a `spamming' technique. Our method outperforms solutions based on the one-pass von Neumann algorithm.
M3 - Other contribution
T3 - IACR eprint archive
ER -