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A Design for a Physical RNG with Robust Entropy Estimators

Killmann, Wolfgang and Schindler, Werner Oswald, E. and Rohatgi, P. (eds.) (2008):
A Design for a Physical RNG with Robust Entropy Estimators.
In: LNCS, In: Cryptographic Hardware and Embedded Systems, CHES 2008, Springer, Berlin, pp. 146--163, [Conference or Workshop Item]

Abstract

We briefly address general aspects that reliable security evaluations of physical RNGs should consider. Then we discuss an efficient RNG design that is based on a pair of noisy diodes. The main contribution of this paper is the formulation and the analysis of the corresponding stochastic model which interestingly also fits to other RNG designs. We prove a theorem that provides tight lower bounds for the entropy per random bit, and we apply our results to a prototype of a particular physical RNG.

Item Type: Conference or Workshop Item
Erschienen: 2008
Editors: Oswald, E. and Rohatgi, P.
Creators: Killmann, Wolfgang and Schindler, Werner
Title: A Design for a Physical RNG with Robust Entropy Estimators
Language: ["languages_typename_1" not defined]
Abstract:

We briefly address general aspects that reliable security evaluations of physical RNGs should consider. Then we discuss an efficient RNG design that is based on a pair of noisy diodes. The main contribution of this paper is the formulation and the analysis of the corresponding stochastic model which interestingly also fits to other RNG designs. We prove a theorem that provides tight lower bounds for the entropy per random bit, and we apply our results to a prototype of a particular physical RNG.

Title of Book: Cryptographic Hardware and Embedded Systems, CHES 2008
Series Name: LNCS
Number: 5154
Publisher: Springer
Uncontrolled Keywords: Secure Things;physical random number generator, stochastic model, entropy
Divisions: LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
LOEWE > LOEWE-Zentren
LOEWE
Event Location: Berlin
Date Deposited: 30 Dec 2016 20:23
Identification Number: TUD-CS-2008-1129
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