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On Analyzing Program Behavior under Fault Injection Attacks

Authors: Jakub Breier;

On Analyzing Program Behavior under Fault Injection Attacks

Abstract

Fault attacks pose a serious threat to cryptographic algorithm implementations. It is a non-trivial task to design a code that minimizes the risk of exploiting the incorrect output that was produced by inducing faults in the algorithm execution process. In this paper we propose a design of an instruction set simulator capable of analyzing the code behavior under fault attack conditions. Our simulator is easy to use and provides a valuable insights for the designers that could help to harden the code they implement.

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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!
3
Average
Average
Average
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