Archimedes Fire Hawk Optimization enabled feature selection with deep maxout for network intrusion detection

Network intrusion detection systems (NIDSs) are fundamental for protecting computer networks. In this paper, the Archimedes Fire Hawk Optimization (AFHO) enabled Deep Learning (DL) is developed. At first, the Wireless Network is initialized, and then the recorded log file is passed through the pre-p...

Celý popis

Podrobná bibliografia

Vydané v:	Computers & security Ročník 140; s. 103751
Hlavní autori:	Rani, B. Selva, Vairamuthu, S, Subramanian, Suresh
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.05.2024
Predmet:	Archimedes optimization algorithm (AOA) Deep Maxout network (DMN) Fire Hawk optimization (FHO) Network intrusion detection Wireless network Wireless network Deep Maxout network (DMN) Archimedes optimization algorithm (AOA) Fire Hawk optimization (FHO) Network intrusion detection
ISSN:	0167-4048, 1872-6208
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!