Title | ||
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Challenge codes for physically unclonable functions with Gaussian delays: A maximum entropy problem |
Abstract | ||
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Motivated by a security application on physically unclonable functions, we evaluate the probability distributions and Renyi entropies of signs of scalar products of i.i.d. Gaussian random variables against binary codewords in {+/- 1}(n). The exact distributions are determined for small values of n and upper bounds are provided by linking this problem to the study of Boolean threshold functions. Finally, Monte-Carlo simulations are used to approximate entropies up to n = 10. |
Year | DOI | Venue |
---|---|---|
2020 | 10.3934/amc.2020060 | ADVANCES IN MATHEMATICS OF COMMUNICATIONS |
Keywords | DocType | Volume |
Multivariate Gaussian distribution,entropy,Boolean threshold functions | Journal | 14 |
Issue | ISSN | Citations |
3 | 1930-5346 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alexander Schaub | 1 | 0 | 0.34 |
Olivier Rioul | 2 | 92 | 23.54 |
Jean-Luc Danger | 3 | 794 | 83.57 |
Sylvain Guilley | 4 | 292 | 33.07 |
Joseph Boutros | 5 | 0 | 0.34 |