first round clemence comments
This commit is contained in:
parent
3bdc87913c
commit
987cc4ce8b
5 changed files with 14 additions and 15 deletions
|
|
@ -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}
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue