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Bridging Software-Based and Hardware-Based Fault Injection Vulnerability Detection

Abstract : Software-based and hardware-based approaches have both been used to detect fault injection vulnerabilities. Software-based approaches can provide broad and rapid coverage, but may not correlate with genuine hardware vul-nerabilities. Hardware-based approaches are indisputable in their results, but rely upon expensive expert knowledge and manual testing. This work bridges software-based and hardware-based fault injection vulnerability detection by contrasting results of both approaches. This demonstrates that: not all software-based vulnerabilities can be reproduced in hardware; prior conjectures on the fault model for EMP attacks may not be accurate; and that there is a coincidence between software-based and hardware-based approaches. Further, combining both approaches can yield a vastly more accurate and efficient approach to detecting genuine fault injection vulnerabilities.
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Preprints, Working Papers, ...
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Submitted on : Wednesday, December 19, 2018 - 4:21:40 PM
Last modification on : Monday, April 4, 2022 - 9:28:23 AM
Long-term archiving on: : Thursday, March 21, 2019 - 1:44:20 AM


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  • HAL Id : hal-01961008, version 1


Thomas Given-Wilson, Nisrine Jafri, Axel Legay. Bridging Software-Based and Hardware-Based Fault Injection Vulnerability Detection. 2018. ⟨hal-01961008⟩



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