Explainable AI Meets Synthetic Data: A Deep Learning Framework for Detecting Network Intrusion in NextG Network Infrastructure

In today’s digitally driven world, network security has become a top accountability as cyberattacks become more sophisticated, especially within emerging NextG network infrastructures. Advanced threats, including as zero-day exploits, polymorphic malware, and large-scale distributed denial-of...

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Bibliografische Detailangaben

Hauptverfasser:	Md Junayed Hossain, Khorshed Alam, Md Fahad Monir, Md Mozammal Hoque, Tarem Ahmed
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Intrusion detection GANs imputation LSTM CNN LIME XAI
Online-Zugang:	https://ieeexplore.ieee.org/document/11069291/
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