2020
DOI: 10.1007/s11334-020-00364-5
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Combined software and hardware fault injection vulnerability detection

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Cited by 15 publications
(8 citation statements)
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“…In the process of signal denoising, the selection and quantification of the threshold are very critical; it can be said that it directly affects the effect of denoising. erefore, in the application, the selection method and quantification rule of the threshold should be determined according to the specific situation [15].…”
Section: Ultrasonic Data Acquisition and Signal Processing Algorithmsmentioning
confidence: 99%
“…In the process of signal denoising, the selection and quantification of the threshold are very critical; it can be said that it directly affects the effect of denoising. erefore, in the application, the selection method and quantification rule of the threshold should be determined according to the specific situation [15].…”
Section: Ultrasonic Data Acquisition and Signal Processing Algorithmsmentioning
confidence: 99%
“…The purpose of fault injection testing is to verify the effectiveness of the safety mechanisms or safety measures proposed during the system design and software/hardware design processes, including attributes such as response time and whether the system enters a safe state [5]. The specific implementation methods for fault injection can be broadly categorized into two types: hardware-based faults and software-based fault injection [6,7]. For hardwarebased fault injection, the main categories are as follows:…”
Section: Types Of Fault Injectionmentioning
confidence: 99%
“…Hardware-based fault injections require expert knowledge and manual testing. However, their results are unquestionable [9]. It's a kind of physical fault injection.…”
Section: Hardware-based Fault Injectionmentioning
confidence: 99%
“…In Software-based fault injection, different errors or bugs are introduced at a software level that would result in the production of faults in hardware. For speedy coverage, Software-based fault injections depend upon simulations [9]. Software injection can further be categorized on how the Fault is injected: [11].…”
Section: Software-based Fault Injectionmentioning
confidence: 99%