Muhammad Mujahid

APENet: Advanced Cyber Security Attack Detection with Attentive Path-Encoding in IoT Networks Using SHAP Based Explainability

This study proposes an APENet approach to detect cyberattacks from a real-world cybersecurity dataset, and incorporated a contextual dependency mechanism that achieves remarkable performance for attack detection and underscored the model’s flexibility in adapting to various IoT environments.