Tasmanian devil optimization with deep autoencoder for intrusion detection in IoT assisted unmanned aerial vehicle networks

Background: Recently, a developing count of physical objects is linked to the Internet at an unprecedented rate, calcifying the knowledge of the Internet of Things (IoT). In several paradigms of IoT applications, unmanned aerial vehicles (UAVs) and satellites for IoT have concerned much attention an...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Noha Negm, Hayam Alamro, Randa Allafi, Majdi Khalid, Amal M. Nouri, Radwa Marzouk, Aladdin Yahya Othman, Noura Abdelaziz Ahmed
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-11-01
coleção:	Ain Shams Engineering Journal
Assuntos:	Internet of things Unmanned aerial vehicles Deep autoencoder Intrusion detection Feature selection
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2090447924003186
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!