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Updated: Feb 14, 2026

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用于能源意识的物联网入侵检测的生成对抗网络:对GAN架构进行全面的基准分析,并以每朱的精度进行评估

Iacovos Ioannou1,2, Vasos Vassiliou2

  • 1Department of Computer Science, European University Cyprus, 2404 Nicosia, Cyprus.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
概括

本研究将生成对抗网络 (GAN) 架构用于物联网 (IoT) 设备中的能量意识入侵检测. 一个优化的Wasserstein GAN与梯度惩罚 (WGAN-GP) 显著提高了少数阶级的检测和能源效率.

关键词:
物联网的物联网,就是物联网.在WGAN-GP中使用.准确度为每朱尔阶级不平衡,就是阶级不平衡.深度学习是一种深度学习.能源效率是指能效的能源效率.生成性的对抗性网络.检测入侵 检测入侵网络安全 网络安全合成数据增强 合成数据增强

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