An optimized ensemble model with advanced feature selection for network intrusion detection

In today’s digital era, advancements in technology have led to unparalleled levels of connectivity, but have also brought forth a new wave of cyber threats. Network Intrusion Detection Systems (NIDS) are crucial for ensuring the security and integrity of networked systems by identifying and mitigati...

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Bibliografski detalji

Glavni autori:	Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya
Format:	Artigo
Jezik:	Inglês
Izdano:	PeerJ Inc. 2024-11-01
Serija:	PeerJ Computer Science
Teme:	Network intrusion detection systems Machine learning Ensemble models Cybersecurity Feature selection
Online pristup:	https://peerj.com/articles/cs-2472.pdf
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