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...
- 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)