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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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Bibliographische Detailangaben
Veröffentlicht in:Artificial Intelligence Applications and Innovations
Hauptverfasser: Tsogbaatar, Enkhtur, Bhuyan, Monowar H., Taenaka, Yuzo, Fall, Doudou, Gonchigsumlaa, Khishigjargal, Elmroth, Erik, Kadobayashi, Youki
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2020
Schlagworte:
Online Zugang: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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