An Automated Formal Process for Detecting Fault Injection Vulnerabilities in Binaries and Case Study on PRESENT -- Extended Version
Given-Wilson, Thomas;Jafri, Nisrine;Lanet, Jean-Louis;Legay, Axel
(2017)
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Authors
Given-Wilson, Thomas
Author
Jafri, Nisrine
Author
Lanet, Jean-Louis
Author
Legay, AxelUCLouvain
Author
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.
Given-Wilson, T., Jafri, N., Lanet, J.-L., & Legay, A. (2017). An Automated Formal Process for Detecting Fault Injection Vulnerabilities in Binaries and Case Study on PRESENT -- Extended Version. https://hdl.handle.net/2078.5/173111