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Acceleration of fault attack emulation by consideration of fault propagation

Authors: Armin Krieg; Johannes Grinschgl; Holger Bock; Josef Haid;

Acceleration of fault attack emulation by consideration of fault propagation

Abstract

In recent years the number of deployed embedded systems increased significantly. These system-on-chips are widely used for high-availability as well as security applications. Therefore, the reliable operation of these devices plays a vital role and disturbed operation can lead to loss of confidence and trust. To ensure correct operation during random or intentional fault events, injection techniques for system simulation and emulation have been presented. The targeted use of these approaches is often difficult because of the device complexity and the lack of knowledge about internal processes after a fault has been activated. To improve the current state-of-the-art in this field this paper presents fault propagation analysis and hardware checker generation techniques based on static VHDL code analysis. These help to gain a deeper understanding of system internal propagation paths and their influence on normal operation. Physical layout data is included to enable the mapping of a fault attack location to its corresponding logic gates. Hardware checkers enable higher fault injection evaluation efficiency by removing masked system parts from the target space.

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Found an issue? Give us feedback
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!
1
Average
Average
Average
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