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Reports (Research Report) Year : 2011

Online Entropy Estimation for Non-Binary Sources and Applications on iPhone

Abstract

The design of a random number generator is a challenging task on systems in changing environment such as smartphones. Finding reliable and high-throughput sources of entropy is difficult. This paper proposes an online entropy estimation algorithm to test the quality of an entropy source when nothing is known \textit{a priori} on the source statistics. Our estimator can be executed at a low cost and is adapted for any type of sources. It extends the results of Bucci and Luzzi to non-binary sources and introduces a parameter that allows to trade time and memory for a better estimate. Our estimator is then applied to several sources available on an iPhone and compare to the state of the art.
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Dates and versions

inria-00604857 , version 1 (29-06-2011)
inria-00604857 , version 2 (18-07-2011)

Identifiers

  • HAL Id : inria-00604857 , version 2

Cite

Cédric Lauradoux, Julien Ponge, Andrea Roeck. Online Entropy Estimation for Non-Binary Sources and Applications on iPhone. [Research Report] RR-7663, INRIA. 2011, pp.19. ⟨inria-00604857v2⟩
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