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

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

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-01629098 , version 1 (06-11-2017)

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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. 2017 IEEE Trustcom/BigDataSE/ICESS, Aug 2017, Sydney, Australia. pp.293 - 300, ⟨10.1109/Trustcom/BigDataSE/ICESS.2017.250⟩. ⟨hal-01629098⟩
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