Enhancing Resilience in Next-Generation Wireless Networks Through Deep Learning for Security Enhancement

Safeguarding strong protection and efficient intrusion recognition are important reflections in the growth and protection of Next-Generation Wireless Networks. These original networks, considered by their enhanced rapidity, ability, and connectivity, are also enhanced by enlarged vulnerabilities. To...

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Veröffentlicht in:	IEEE transactions on consumer electronics 2024-08, Vol.70 (3), p.6284-6292
Hauptverfasser:	Bahaudien Ashary, Ehab, Maghrabi, Louai A., Jambi, Sahar, Bahaudien Ashari, Rehab, Fayoumi, Ayman G., Al-Ghamdi, Abdullah Al-Malaise, Ragab, Mahmoud
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms cheetah optimization Computational modeling Deep learning Feature extraction feature selection hybrid deep learning Identification methods Intrusion detection Intrusion detection systems Next generation networking next-generation Performance enhancement Security Soil Wireless networks
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