2014
DOI: 10.1007/978-3-319-04268-8_7
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Information Theoretic Security for Encryption Based on Conditional Rényi Entropies

Abstract: Abstract. Information theoretic cryptography is discussed based on conditional Rényi entropies. Our discussion focuses not only on cryptography but also on the definitions of conditional Rényi entropies and the related information theoretic inequalities. First, we revisit conditional Rényi entropies, and clarify what kind of properties are required and actually satisfied. Then, we propose security criteria based on Rényi entropies, which suggests us deep relations between (conditional) Rényi entropies and erro… Show more

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Cited by 54 publications
(66 citation statements)
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“…It has been found in the study of the classical special case (see, e.g. [55,93]) that generalizations based on (5.9) have severe limitations, for example they generally do not satisfy a data-processing inequality. On the other hand, definitions based on the underlying divergence, as in (5.12) …”
Section: Definitions and Propertiesmentioning
confidence: 99%
“…It has been found in the study of the classical special case (see, e.g. [55,93]) that generalizations based on (5.9) have severe limitations, for example they generally do not satisfy a data-processing inequality. On the other hand, definitions based on the underlying divergence, as in (5.12) …”
Section: Definitions and Propertiesmentioning
confidence: 99%
“…There are several definitions of conditional Rényi entropies (see [22], [23] for extensive review), and we use the one defined in [24] and the one defined by Arimoto [25]. We shall call the former one the lower conditional Rényi entropy (cf.…”
Section: B Main Contribution For Non-asymptotic Analysismentioning
confidence: 99%
“…For more detailed review of conditional Rényi entropies, see [23]. For a correlated random variable (X, Y ) on X × Y with probability distribution P XY and a marginal distribution Q Y on Y, we introduce the conditional Rényi entropy of order 1 + θ relative to Q Y as…”
Section: A Information Measures For Single-shot Settingmentioning
confidence: 99%
“…By usage of the properties of α-β-γ CRE, it is easy to conclude that the basic properties are satisfied for all α, β, γ: Table 2 we list the properties and their fulfilments for the cases when the mutual information is defined using C, JA, RW, A and H conditional Rényi entropies [9]. Thus, if the MI is defined using any of the previously considered CRE definitions, it fails down to satisfy some of the properties properties D4-D6.…”
Section: α-β-γ Mutual Informationmentioning
confidence: 99%