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<h3><span><span>GRASEC 2024 : The 5th International Workshop on
Graph-based Approaches for Cybersecurity</span></span></h3>
<p><b>Deadline extended to May 19 (Firm)!</b><br>
</p>
<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><b>May
</b></span><span class="justify-self-end"><b>19, 2024</b>
(Extended, Firm)</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><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> </div>
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