first round clemence comments

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Arthur Grisel-Davy 2023-10-02 14:32:49 -04:00
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@ -4,8 +4,8 @@ Each of these three parts has its own specificities and challenges that call for
\section{Fall 2023}
This term will have a dual goal.
On one hand, finishing the \gls{dsd} paper and submitting it to a conference.
On the other, start working on the single-source multi-measure capture system.
On one hand, several articles compiling the initial results from the first two years of work will be presented at different conferences.
On the other, the design and capture for the single-source multi-measure problem will begin.
The current capture system is composed of a box placed in series with the machine to monitor.
This system is reliable and serves its purpose perfectly, but it is not possible to fit in a more constrained space or able to measure multiple consumptions at once.
The single-source multi-measure system aims for integration in the machine with minimal modification to allow for easy \textit{drop-in} installation.
@ -13,7 +13,7 @@ The goal could be a computer's \gls{psu} or an external box with multiple measur
In any case, the design and prototyping of this new measurement system is an important part of the single-source multi-measure system.
\section{Winter 2024}
Fall 2023 will be dedicated to designing and evaluating the single-source multi-measure system.
Winter 2024 will be dedicated to designing and evaluating the single-source multi-measure system.
This work's challenge is enabling the processing of multi-variate time series to yield better results.
The system's performances will be put in perspective with the capabilities of the DSD (single-source single-measure).
A series of experiments will also provide a complementary evaluation of the performances of these new techniques.
@ -60,7 +60,7 @@ The xPSU project was entirely developed off-campus.
\textbf{Unconvincing Results:}
The first results of the SSSM problem are encouraging for the exploration of MSSM and SSMM problems.
However, some unforeseen discoveries could force us to reevaluate the potential of this technology.
As presented before, there are plenty of alternative routes to explore for physics-based \gls{ids}.
As presented before, there are plenty of alternative routes to explore for physics-based \glspl{ids}.
First, there is room for improving the performance of the SSSM detector.
A better accuracy, a greater number of states, a lower training requirement or higher time efficiency, are all valuable improvements to pursue.
Second, the range of machines that can benefit from this technology is wide.
@ -80,6 +80,6 @@ From the current work, multiple articles have been submitted for publication.
To complete the findings of this first paper, more experiments were conducted on a wider variety of machines and exploring diverse optimization techniques.
A workshop paper compiling these new findings was accepted for QRS 2023 \cite{bpv_qrs}.
\item Also accepter for QRS 2023, an article about \gls{dsd} details the capabilities of the method to detect cybersecurity policies violation \cite{dsd_qrs}.
\item Also accepted for QRS 2023, an article about \gls{dsd} details the capabilities of the method to detect cybersecurity policies violation \cite{dsd_qrs}.
\end{itemize}