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April 25, 2026International Journal of Grid and Utility Computing0 citations

GEFA: a hybrid genetic-based ensemble forest mechanism for cybersecurity analysis of intelligent electronic devices in IoT-based smart grids

LZLingcheng ZengAYAn YunzhuQLQifeng Luo

Key Points

  • The aim is to develop and evaluate a hybrid genetic-based ensemble forest mechanism for improved cybersecurity in IoT-based smart grids.
  • Designed a hybrid mechanism combining genetic algorithms with ensemble methods for cybersecurity analysis.
  • Applied the mechanism to intelligent electronic devices within IoT environments.
  • Conducted performance evaluations against existing cybersecurity methods.
  • Demonstrated significant improvement in detection accuracy and response time compared to traditional methods.
  • Achieved detection rates exceeding 90% for various cyber threats in smart grids.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Zeng et al. (2025) studied this question.

synapsesocial.com/papers/69ec5b0688ba6daa22dac873https://doi.org/10.1504/ijguc.2025.10077920
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