<div class="csl-bib-body">
<div class="csl-entry">Iglesias Vazquez, F. (2025, June 2). <i>Machine Learning for Network Security</i> [Conference Presentation]. Proyecto Inteligencia Artificial para la Securización de Dispositivos IoT (C032.23), Spain.</div>
</div>
Communication networks are the backbone of today’s interconnected world, supporting everything from basic information exchange to the operation of critical infrastructures. As these systems continue to grow in complexity and importance, ensuring their security, integrity, and reliability has become a top priority for both governments and industry.
In this talk, we examine how artificial intelligence (AI)—particularly machine learning and data-driven techniques—is being applied to network security at the transport and network layers. We will discuss current methodologies, enabling technologies, and the persistent technical and scientific challenges. Particular attention will be given to emerging paradigms such as deep learning and generative AI, with a critical analysis of the factors limiting their practical impact on threat detection and mitigation.
en
dc.language.iso
es
-
dc.subject
network security
en
dc.subject
network traffic analysis
en
dc.subject
Machine Learning
en
dc.subject
Artificial Intelligence
en
dc.title
Machine Learning for Network Security
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.type.category
Conference Presentation
-
tuw.publication.invited
invited
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Information Systems Engineering
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E389-01 - Forschungsbereich Networks
-
tuw.author.orcid
0000-0001-6081-969X
-
tuw.event.name
Proyecto Inteligencia Artificial para la Securización de Dispositivos IoT (C032.23)
