An Automated Formal Process for Detecting Fault Injection Vulnerabilities in Binaries and Case Study on PRESENT -- Extended Version - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Preprints, Working Papers, ... Year : 2017

An Automated Formal Process for Detecting Fault Injection Vulnerabilities in Binaries and Case Study on PRESENT -- Extended Version

Abstract

Recently 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 a general process without these limitations that uses model checking to detect fault injection vulnerabilities in binaries. The efficacy of this process is demonstrated by detecting vulnerabilities in the PRESENT binary.
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Dates and versions

hal-01400283 , version 1 (30-01-2017)
hal-01400283 , version 2 (04-04-2017)

Identifiers

  • HAL Id : hal-01400283 , version 2

Cite

Thomas Given-Wilson, Nisrine Jafri, Jean-Louis Lanet, Axel Legay. An Automated Formal Process for Detecting Fault Injection Vulnerabilities in Binaries and Case Study on PRESENT -- Extended Version. 2017. ⟨hal-01400283v2⟩
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