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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...

詳細記述

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書誌詳細
出版年:Artificial Intelligence Applications and Innovations
主要な著者: Tsogbaatar, Enkhtur, Bhuyan, Monowar H., Taenaka, Yuzo, Fall, Doudou, Gonchigsumlaa, Khishigjargal, Elmroth, Erik, Kadobayashi, Youki
フォーマット: Artigo
言語:Inglês
出版事項: 2020
主題:
オンライン・アクセス: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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