Enhancing Network Intrusion Detection: A Genetic Programming Symbolic Classifier Approach

This investigation underscores the paramount imperative of discerning network intrusions as a pivotal measure to fortify digital systems and shield sensitive data from unauthorized access, manipulation, and potential compromise. The principal aim of this study is to leverage a publicly available dat...

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Autores principales:	Nikola Anđelić, Sandi Baressi Šegota
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-03-01
Colección:	Information
Materias:	network intrusion detection genetic programming symbolic classifier (GPSC) symbolic expressions (SEs) random hyperparameter value search (RHVS) cybersecurity defenses
Acceso en línea:	https://www.mdpi.com/2078-2489/15/3/154
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