From 09ccaeaf225eafda58fb41bd3018e8fe60424f03 Mon Sep 17 00:00:00 2001
From: Arthur Grisel-Davy <agriseld@uwaterloo.ca>
Date: Wed, 26 Jul 2023 10:40:49 -0400
Subject: [PATCH] make camera ready version

---
 EET1/MLCS_conference/main.tex | 65 +++++++++++++++++------------------
 1 file changed, 32 insertions(+), 33 deletions(-)

diff --git a/EET1/MLCS_conference/main.tex b/EET1/MLCS_conference/main.tex
index 370441f..98fc323 100644
--- a/EET1/MLCS_conference/main.tex
+++ b/EET1/MLCS_conference/main.tex
@@ -44,42 +44,41 @@
 %
 \title{Side-channel Based Runtime Intrusion Detection for Network Equipment}
 % REAL AUTHORS and CONTACT ==============================
-%\author{Arthur Grisel-Davy\and
-%Julian Dickert\and
-%Sebastian Fischmeister\and
-%Goksen U. Guler\and
-%Waleed Khan\and
-%Carlos Moreno\and
-%Jack Morgan\and
-%Shikhar Sakhuja\and
-%Philippe Vibien.
-%}
-%\authorrunning{Grisel-Davy et al.}
+\author{Arthur Grisel-Davy\and
+Goksen U. Guler\and
+Julian Dickert\and
+Philippe Vibien\and
+Waleed Khan\and
+Jack Morgan\and
+Carlos Moreno\and
+Sebastian Fischmeister.
+}
+\authorrunning{Grisel-Davy et al.}
 %
-%\institute{University of Waterloo, Canada. \\
-%agriseld@uwaterloo.ca}
+\institute{University of Waterloo, Canada. \\
+agriseld@uwaterloo.ca}
 
 % FAKES/ANONYMOUS
 %
-\author{
-\phantom{
-    \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
-    \end{minipage}
-}
-}
-\authorrunning{ }
-
-\institute{ ~\\ 
- }
+%\author{
+%\phantom{
+%    \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
+%    \end{minipage}
+%}
+%}
+%\authorrunning{ }
+%
+%\institute{ ~\\ 
+% }
 %
 \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 lightweight nature of the models allows for fast online run-time monitoring and integrity assessment of embedded systems.
 
+
 \section{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.
 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}
 \bibliography{bibliography}