A Comprehensive Review: The Evolving Cat-and-Mouse Game in Network Intrusion Detection Systems Leveraging Machine Learning

Machine learning (ML) techniques have significantly enhanced decision support systems to render them more accurate, efficient, and faster. ML classifiers in securing networks, on the other hand, face a disproportionate risk from the sophisticated adversarial attacks compared to other areas, such as...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Qutaiba Alasad, Meaad Ahmed, Shahad Alahmed, Omer T. Khattab, Saba Alaa Abdulwahhab, Jiann-Shuin Yuan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-01-01
Schriftenreihe:	Journal of Cybersecurity and Privacy
Schlagworte:	network security network-based intrusion detection system cybersecurity adversarial machine learning attacks and defenses
Online-Zugang:	https://www.mdpi.com/2624-800X/6/1/13
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