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Updated: Sep 14, 2025

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使用深度学习的工业控制系统中网络攻击和异常检测的跨学科框架.

Qawsar Gulzar1, Khurram Mustafa2

  • 1Department of Computer Science, Jamia Millia Islamia, Okhla, New Delhi, 110025, India. qawsar2008854@st.jmi.ac.in.

Scientific reports
|July 22, 2025
PubMed
概括

这项研究通过引入网络入侵检测系统 (NIDS) 的新框架来增强工业控制系统 (ICS) 的安全性. 以注意力驱动的Deep LSTM模型有效地识别网络攻击,提高系统可靠性和安全性.

关键词:
深度学习 (DL) 是指深度学习.工业控制系统 (ICS) 是指工业控制系统.入侵检测系统 (IDS) 是一种入侵检测系统.机器学习 (ML) 是指机器学习.互助信息 (MI) 是指互助的信息.稀少的主要组成部分分析 (SPCA)

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