Enhancing Network Security: A Study on Classification Models for Intrusion Detection Systems

Computer users face a constant influx of internet packets, ranging from legitimate ones to those sent by malicious entities. With the exponential growth in user numbers and evolving attack types, traditional countermeasure methods are becoming ineffective. Artificial intelligence (AI) techniques off...

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Hlavní autoři:	Abeer Abd Alhameed Mahmood, Azhar A. Hadi, Wasan Hashim Al-Masoody
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Croatian Communications and Information Society (CCIS) 2025-06-01
Edice:	Journal of Communications Software and Systems
Témata:	intrusion detection systems (ids) machine learning balanced dataset network security
On-line přístup:	https://jcoms.fesb.unist.hr/10.24138/jcomss-2024-0064/
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