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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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Detalhes bibliográficos
Publicado no:Artificial Intelligence Applications and Innovations
Main Authors: Tsogbaatar, Enkhtur, Bhuyan, Monowar H., Taenaka, Yuzo, Fall, Doudou, Gonchigsumlaa, Khishigjargal, Elmroth, Erik, Kadobayashi, Youki
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7256579/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-49186-4_23
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