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Cryptographic Key Reliable Lifetimes: Bounding the Risk of Key Exposure in the Presence of Faults

Authors: Alfonso De Gregorio;

Cryptographic Key Reliable Lifetimes: Bounding the Risk of Key Exposure in the Presence of Faults

Abstract

With physical attacks threatening the security of current cryptographic schemes, no security policy can be developed without taking into account the physical nature of computation. In this paper we adapt classical reliability modeling techniques to cryptographic systems. We do so by first introducing the notions of Cryptographic Key Failure Tolerance and Cryptographic Key Reliable Lifetimes. Then we offer a framework for the determination of reliable lifetimes of keys for any cryptographic scheme used in the presence of faults, given an accepted (negligible) error-bound to the risk of key exposure. Finally we emphasize the importance of selecting keys and designing schemes with good values of failure tolerance, and recommend minimal values for this metric. In fact, in standard environmental conditions, cryptographic keys that are especially susceptible to erroneous computations (e.g., RSA keys used with CRT-based implementations) are exposed with a probability greater than a standard error-bound (e.g., 2−−40) after operational times shorter than one year, if the failure-rate of the cryptographic infrastructure is greater than 1.04×10−−16failures/hours.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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