Cargando…
Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques
In recent years, the widespread deployment of the Internet of Things (IoT) applications has contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies, communications and applications to maximize operational efficiency and enhance both the service providers’ quali...
Autores principales: | Rashid, Md Mamunur, Kamruzzaman, Joarder, Hassan, Mohammad Mehedi, Imam, Tasadduq, Gordon, Steven |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764956/ https://www.ncbi.nlm.nih.gov/pubmed/33327468 http://dx.doi.org/10.3390/ijerph17249347 |
Ejemplares similares
-
Blockchain and Fog Computing in IoT-Driven Healthcare Services for Smart Cities
por: Kamruzzaman, M. M., et al.
Publicado: (2022) -
IoT-Oriented 6G Wireless Network System for Smart Cities
por: Kamruzzaman, M. M., et al.
Publicado: (2022) -
BoostedEnML: Efficient Technique for Detecting Cyberattacks in IoT Systems Using Boosted Ensemble Machine Learning
por: Okey, Ogobuchi Daniel, et al.
Publicado: (2022) -
Top-Down Machine Learning-Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks
por: Abu Al-Haija, Qasem
Publicado: (2022) -
IoT-Enabled Smart Cities: Evolution and Outlook
por: Bauer, Martin, et al.
Publicado: (2021)