Use of Machine Learning Algorithms for Network Traffic Classification
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http://hdl.handle.net/2183/34111
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)
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Use of Machine Learning Algorithms for Network Traffic ClassificationDate
2023Abstract
[Abstract] In recent years, the complexity of threats utilizing the network as an attack vector has
significantly increased. Traditional attack prevention and detection systems (IPS/IDS) based on
signatures do not provide an acceptable level of security for many organizations.
Furthermore, the volume of traffic on corporate networks has also grown exponentially, while
quality of service requirements do not always allowfor deep inspection (at the application layer)
of packets.
The main objective of this work is to demonstrate that the application of machine learning techniques
to the information of data flows circulating through the network allows for the satisfactory
detection of malicious traffic. Specifically, this work is developed within an emerging network paradigm, such as software-defined networks
Keywords
Aprendizaje automático
Flujo de datos
Detección de malware
Inteligencia artificial
Flujo de datos
Detección de malware
Inteligencia artificial
Description
Cursos e Congresos , C-155
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Rights
Attribution 4.0 International (CC BY 4.0)