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

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.