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An automated and scalable formal process for detecting fault injection vulnerabilities in binaries

The work

AuthorsThomas Given-Wilson; Annelie Heuser; Nisrine Jafri; Axel Legay
Editors
Typearticle
Year2018
Citekeygivenwilson2018automated

Where it appeared

Published inConcurrency and Computation Practice and Experience
PublisherWiley
Volume31
Issue23
Pages1--12

Identifiers

DOI10.1002/cpe.4794
OpenAlexW2892055173

From OpenAlex, which stores abstracts as an index of words and their positions: what is shown is rebuilt from that, and reads fluently whether or not it is what the author wrote.

Abstract

Summary Fault injection has increasingly been used both to attack software applications and to test system robustness. Detecting fault injection vulnerabilities has been approached with a variety of different but limited methods. This paper proposes an extension of a recently published general model checking based process to detect fault injection vulnerabilities in binaries. This new extension makes the general process scalable to real‐world implementations, which is demonstrated by detecting vulnerabilities in different cryptographic implementations.

How it got here

How it got hereagent via openalex
Added2026-10-26 08:41 UTC
Not denied bya person 2026-10-29 17:12 UTC

Filed under

hardware-security

Cite it as

@article{givenwilson2018automated,
  title        = {An automated and scalable formal process for detecting fault injection vulnerabilities in binaries},
  author       = {Thomas Given-Wilson and Annelie Heuser and Nisrine Jafri and Axel Legay},
  year         = {2018},
  journal      = {Concurrency and Computation Practice and Experience},
  publisher    = {Wiley},
  volume       = {31},
  number       = {23},
  pages        = {1--12},
  doi          = {10.1002/cpe.4794},
}

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