SDN-Enabled IoT Anomaly Detection Using Ensemble Learning

Internet of Things (IoT) devices are inherently vulnerable due to insecure design, implementation, and configuration. Aggressive behavior change, due to increased attacker’s sophistication, and the heterogeneity of the data in IoT have proven that securing IoT devices is a making challenge. To detec...

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Detalles Bibliográficos
Autores principales: Tsogbaatar, Enkhtur, Bhuyan, Monowar H., Taenaka, Yuzo, Fall, Doudou, Gonchigsumlaa, Khishigjargal, Elmroth, Erik, Kadobayashi, Youki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256579/
http://dx.doi.org/10.1007/978-3-030-49186-4_23

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256579/
http://dx.doi.org/10.1007/978-3-030-49186-4_23

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