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start conclusion of futur work

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Arthur Grisel-Davy 2023-06-21 16:31:02 -04:00
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PhD/research_proposal/futurwork.tex
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@ -138,4 +138,11 @@ As long as the capture architecture (i.e., what machine is monitored by which ca
In the case where the capture architecture is unknown, the problem become out of scope for this thesis. In the case where the capture architecture is unknown, the problem become out of scope for this thesis.
\section{Conclusion} \section{Conclusion}
\agd{to be filled} The main problem is conceptually simple: identify machine activity from their power consumption to detect abnormal or forbidden activities.
The ability to interpret power consumption time series as higher-level events enables the definition of security-related rules.
The simplest form of this problem consist in measuring the global consumption of one simple devices as a univariate time-series (SSSM problem).
This problem lead to the developement of the \gls{dsd} which can already recognize some activity patterns from a machine.
However, the potential of this idea does no stop at the SSSM problem.
By capturing multiple consumptions from specific components from a machine (MSSM problem), the detection algorithm should support the detection of more granular activity.
Complementarily, measuring the aggregated consumption of multiple machines as a single time series offers powerfull applications.