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Arthur Grisel-Davy 2023-07-26 10:40:49 -04:00
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EET1/MLCS_conference/main.tex
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@ -44,42 +44,41 @@
% %
\title{Side-channel Based Runtime Intrusion Detection for Network Equipment} \title{Side-channel Based Runtime Intrusion Detection for Network Equipment}
% REAL AUTHORS and CONTACT ============================== % REAL AUTHORS and CONTACT ==============================
%\author{Arthur Grisel-Davy\and \author{Arthur Grisel-Davy\and
%Julian Dickert\and Goksen U. Guler\and
%Sebastian Fischmeister\and Julian Dickert\and
%Goksen U. Guler\and Philippe Vibien\and
%Waleed Khan\and Waleed Khan\and
%Carlos Moreno\and Jack Morgan\and
%Jack Morgan\and Carlos Moreno\and
%Shikhar Sakhuja\and Sebastian Fischmeister.
%Philippe Vibien. }
%} \authorrunning{Grisel-Davy et al.}
%\authorrunning{Grisel-Davy et al.}
% %
%\institute{University of Waterloo, Canada. \\ \institute{University of Waterloo, Canada. \\
%agriseld@uwaterloo.ca} agriseld@uwaterloo.ca}
% FAKES/ANONYMOUS % FAKES/ANONYMOUS
% %
\author{ %\author{
\phantom{ %\phantom{
\begin{minipage}{\textwidth} % \begin{minipage}{\textwidth}
Anon. Anonymous\and %Anon. Anonymous\and
Anon. Anonymous\and %Anon. Anonymous\and
Anon. Anonymous\and %Anon. Anonymous\and
Anon. Anonymous\and %Anon. Anonymous\and
Anon. Anonymous\and %Anon. Anonymous\and
Anon. Anonymous\and %Anon. Anonymous\and
Anon. Anonymous\and %Anon. Anonymous\and
Anon. Anonymous\and %Anon. Anonymous\and
Anon. Anonymous %Anon. Anonymous
\end{minipage} % \end{minipage}
} %}
} %}
\authorrunning{ } %\authorrunning{ }
%
\institute{ ~\\ %\institute{ ~\\
} % }
% %
\maketitle % typeset the header of the contribution \maketitle % typeset the header of the contribution
% %
@ -601,6 +600,7 @@ The obtainable number of training samples makes this approach adaptable to a ran
The models trained are relatively lightweight owing to the small number of samples along with the heavy downsampling performed on data for the experiments. The models trained are relatively lightweight owing to the small number of samples along with the heavy downsampling performed on data for the experiments.
The lightweight nature of the models allows for fast online run-time monitoring and integrity assessment of embedded systems. The lightweight nature of the models allows for fast online run-time monitoring and integrity assessment of embedded systems.
\section{Conclusion} \section{Conclusion}
\label{Conclusion} \label{Conclusion}
@ -611,7 +611,6 @@ The results show that the used methods achieve near perfect accuracy on all expe
Overall, the introduced techniques provide a glimpse on a general concept that is extensible to other real-time and embedded systems. Overall, the introduced techniques provide a glimpse on a general concept that is extensible to other real-time and embedded systems.
Future work can investigate additional side channels and how the interaction can even further reduce the required sample size and improve the accuracy. Future work can investigate additional side channels and how the interaction can even further reduce the required sample size and improve the accuracy.
\bibliographystyle{splncs04} \bibliographystyle{splncs04}
\bibliography{bibliography} \bibliography{bibliography}