Mekkaoui Kheireddine

Cockroach-inspired intrusion detection system for enhancing security in vehicle-to-grid networks

This work presents an intrusion detection framework based on a bio-inspired learning strategy derived from the grouping cockroach classifier (GCC) that achieves a classification accuracy of 99.21% while maintaining a low false alarm rate, outperforming several conventional machine learning methods.