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...

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Autors principals:	Noha Negm, Hayam Alamro, Randa Allafi, Majdi Khalid, Amal M. Nouri, Radwa Marzouk, Aladdin Yahya Othman, Noura Abdelaziz Ahmed
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-11-01
Col·lecció:	Ain Shams Engineering Journal
Matèries:	Internet of things Unmanned aerial vehicles Deep autoencoder Intrusion detection Feature selection
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2090447924003186
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