gramarly futurwork
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@ -398,7 +398,7 @@ The \gls{bpv} and \gls{dsd} algorithms propose approaches to the problems of boo
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These two complementary aspects represent a large area of the attack surface of a typical embedded system.
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The unique properties of host independence and unforgeability of the input data make the physics-based \gls{ids} a promising complement for any security suite.
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More work is obviously required.
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More work is required.
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The main point of interest is to evaluate the performance of the \gls{dsd} to make it as versatile and reliable as possible.
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From the xPSU project, we understood that a more granular measurement of the power consumption could be beneficial in detecting specific attacks and enabling root cause analysis instead of basic anomaly detection.
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The continuation of the research work will focus on runtime monitoring and investigate different data measurement scales and their respective benefits.
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