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Updated: Apr 30, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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在智能电网中检测干扰和网络攻击,使用可解释机器学习.

Mohamed Farsi1, Majed Alwateer2, Shatha Abed Alsaedi2

  • 1Department of Information Systems, College of Computer Science and Engineering, Taibah University, 46421, Yanbu, Saudi Arabia.

Scientific reports
|February 19, 2026
PubMed
概括

本研究引入了一个统一的框架,用于使用同步数据检测电网中的物理干扰和网络入侵. 该方法提高了智能电网对复杂的网络物理威胁的弹性,并具有高精度.

关键词:
网络安全 网络安全机器学习 机器学习电力系统干扰 电力系统干扰电力系统的攻击攻击.

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