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Updated: Sep 8, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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仮想発電所におけるサイバーセキュリティの強化 ネットワークベースのサイバー攻撃の検出 監視されない自動エンコーダのアプローチ

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
まとめ

この研究は,仮想発電所 (VPP) での偽データインジェクション攻撃 (FDIA) を検出するためのAutoencoder (AE) ディープラーニング方法を導入します. AEモデルは悪意のあるデータを効果的に識別し,IoT対応のエネルギーシステムのサイバーセキュリティを強化します.

キーワード:
オートエンコーダー (AE)サイバーセキュリティエネルギー市場 (EM)偽データインジェクション攻撃 (FDIA)再生可能エネルギー (RES)仮想発電所 (VPP)

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