A Spatiotemporal-Oriented Deep Ensemble Learning Model to Defend Link Flooding Attacks in IoT Network

(1) Background: Link flooding attacks (LFA) are a spatiotemporal attack pattern of distributed denial-of-service (DDoS) that arranges bots to send low-speed traffic to backbone links and paralyze servers in the target area. (2) Problem: The traditional methods to defend against LFA are heuristic and...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Switzerland), 2021-02, Vol.21 (4), p.1027
Hauptverfasser:	Chen, Yen-Hung, Lai, Yuan-Cheng, Jan, Pi-Tzong, Tsai, Ting-Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	convolutional neural network ensemble learning link flooding attack long short-term memory
Online-Zugang:	Volltext
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