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<h3><span><span>GRASEC 2024 : The 5th International Workshop on
Graph-based Approaches for Cybersecurity</span></span></h3>
<p>This workshop aims at bringing together people from industry and
academia, including researchers, developers, and practitioners
from a variety of fields working on graphs and knowledge graphs,
network management, data science, and cybersecurity. The workshop
will allow attendees to share and discuss their latest findings
from both theoretical and practical perspectives, namely in terms
of graph-based security data representation, analysis, processing
and visualization. The workshop attendees may benefit from sharing
experience on graph-based data analysis regardless of the specific
application. Moreover, researchers and practitioners will have an
opportunity to familiarize themselves with recent advances in
graph analysis, mining and learning, and other approaches that
could be used in their work. The workshop aims to highlight the
latest research and experience in graph-based approaches in
cybersecurity. The workshop also seeks papers describing new
datasets with real attack scenarios, graph modeling tools
evaluated on existing and proposed datasets, and systematization
of knowledge (SoK) papers. <b><br>
</b></p>
<h4><b>Topics of interest include, but are not limited to:</b></h4>
<ul>
<li> Knowledge graphs and ontologies of cyberspaces and digital
twins </li>
<li> Attack graphs modeling and application, graph-based threat
assessment </li>
<li> Graph-based models for network modeling and cyber situational
awareness </li>
<li> Graph-based approaches to network traffic analysis and
forensics </li>
<li> Intrusion, anomaly, and botnet activity detection using graph
data </li>
<li> Graph-based anomaly detection for network security and
management </li>
<li> Graph application in access controls, security policies </li>
<li> Graph-based malware detection </li>
<li> Autoencoders and representation learning for graphs and
knowledge graphs </li>
<li> Graph embedding techniques for network security and
management problems </li>
<li> Graph databases and graph-based tools for security data
analysis </li>
<li> Visualization and analysis of dynamic large-scale graphs and
graph streams </li>
<li> Novel applications of static/dynamic and large graphs in
network security and management </li>
</ul>
<h4 class="text-primary text-abstract pt-2 pb-6 @7xl:pb-14">Important
Dates</h4>
<p></p>
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<span class="font-mabry-bold font-bold">Submission Deadline <span class="font-sans font-normal"></span> </span> <span class="justify-self-end"> Apr 29, 2024 </span> </div>
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<span class="font-mabry-bold font-bold">Author Notification <span class="font-sans font-normal"></span> </span> <span class="justify-self-end"> May 29, 2024 </span> </div>
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<span class="font-mabry-bold font-bold">Proceedings Version <span class="font-sans font-normal"></span> </span> <span class="justify-self-end"> Jun 18, 2024 </span> </div>
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<span class="font-mabry-bold font-bold">Conference <span class="font-sans font-normal"></span> </span> <span class="justify-self-end"> Jul 30 — Aug 02, 2024 <br>
</span></div>
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<h4><span class="justify-self-end">Workshop Website<br>
</span> </h4>
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</div>
<p></p>
<div class="grid"><a href="https://www.ares-conference.eu/grasec" class="moz-txt-link-freetext">https://www.ares-conference.eu/grasec</a></div>
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<h4>Workshop Chairs</h4>
<h4></h4>
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<p></p>
<p></p>
<div class="text-abstract text-primary">Martin Husák, Masaryk
University, Czech Republic, <a href="mailto:husakm@ics.muni.cz" class="moz-txt-link-freetext">husakm@ics.muni.cz </a> </div>
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Mohamed-Lamine Messai, University Lyon 2, France, <a href="mailto:mohamed-lamine.messai@univ-lyon2.fr" class="moz-txt-link-freetext">mohamed-lamine.messai@univ-lyon2.fr
</a> </div>
Hamida Seba, University Claude Bernard Lyon 1, France, <a href="mailto:hamida.seba@univ-lyon1.fr" class="moz-txt-link-freetext">hamida.seba@univ-lyon1.fr </a>
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