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通过使用无监督自动编码方法检测基于网络的网络攻击,加强虚拟发电厂的网络安全

Kumari Nutan Singh1, Arup Kumar Goswami1, Nalin Behari Dev Chudhury1

  • 1Electrical Engineering Department, National Institute of Technology Silchar, Assam, 78801, India.

Scientific reports
|September 5, 2025
PubMed
概括

本研究介绍了一种自动编码 (AE) 深度学习方法,用于检测虚拟电站 (VPP) 中的虚假数据注入攻击 (FDIA). 该AE模型有效地识别恶意数据,增强支持物联网的能源系统的网络安全.

关键词:
自动编码器 (AE)网络安全能源市场虚假数据注入攻击 (FDIA)可再生能源 (RES)虚拟发电厂 (VPP)

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