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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Nikola Anđelić, Sandi Baressi Šegota
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-03-01
Edice:	Information
Témata:	network intrusion detection genetic programming symbolic classifier (GPSC) symbolic expressions (SEs) random hyperparameter value search (RHVS) cybersecurity defenses
On-line přístup:	https://www.mdpi.com/2078-2489/15/3/154
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!