Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Ismail BIB"'
Publikováno v:
IEEE Access, Vol 12, Pp 83830-83857 (2024)
The exponential growth of intrusions on networked systems inspires new research directions on developing artificial intelligence (AI) techniques for intrusion detection systems (IDS). In this context, several AI techniques have been leveraged for aut
Externí odkaz:
https://doaj.org/article/26fbe6fe812d476aa001cf2c29c02650
Autor:
Ismail BIB; Department of Parasitology, Faculty of Veterinary Medicine, Kafrelsheikh University, Kafr El-Sheikh, 33516, Egypt. badawy.ibrahim_a002@vet.kfs.edu.eg., El-Seify MA; Department of Parasitology, Faculty of Veterinary Medicine, Kafrelsheikh University, Kafr El-Sheikh, 33516, Egypt., Khalafalla RE; Department of Parasitology, Faculty of Veterinary Medicine, Kafrelsheikh University, Kafr El-Sheikh, 33516, Egypt., Sorour SS; Department of Parasitology, Faculty of Veterinary Medicine, Kafrelsheikh University, Kafr El-Sheikh, 33516, Egypt., Sultan K; Department of Parasitology, Faculty of Veterinary Medicine, Kafrelsheikh University, Kafr El-Sheikh, 33516, Egypt., Elhawary NM; Department of Parasitology, Faculty of Veterinary Medicine, Kafrelsheikh University, Kafr El-Sheikh, 33516, Egypt.
Publikováno v:
BMC veterinary research [BMC Vet Res] 2024 Jun 03; Vol. 20 (1), pp. 240. Date of Electronic Publication: 2024 Jun 03.