Enhanced dwarf mongoose optimization algorithm with deep learning-based attack detection for drones

Security in smart cities is a challenging issue in urban environments as they depend upon interconnected technologies and data for effective services. To address security challenges, smart cities implement robust cybersecurity measures, including network monitoring, encryption, and intrusion detecti...

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Autores:
Alsariera, Yazan A.
Awwad, Waleed Fayez
Algarni, Abeer D.
Elmannai, Hela
Gamarra, Margarita
Escorcia Gutierrez, José
Tipo de recurso:
Article of investigation
Fecha de publicación:
2024
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/13818
Acceso en línea:
https://hdl.handle.net/11323/13818
https://repositorio.cuc.edu.co/
Palabra clave:
Deep learning
Dwarf mongoose optimization algorithm
Security
Smart cities attacks
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)