Generative Adversarial Networks for Energy-Aware IoT Intrusion Detection: Comprehensive Benchmark Analysis of GAN Architectures with Accuracy-per-Joule Evaluation

The proliferation of Internet of Things (IoT) devices has created unprecedented security challenges characterized by resource constraints, heterogeneous network architectures, and severe class imbalance in attack detection datasets. This paper presents a comprehensive benchmark evaluation of five Ge...

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Автори:	Iacovos Ioannou, Vasos Vassiliou
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2026-01-01
Серія:	Sensors
Предмети:	intrusion detection Internet of Things generative adversarial networks class imbalance energy efficiency deep learning
Онлайн доступ:	https://www.mdpi.com/1424-8220/26/3/757
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