Open access
2026
Enhanced Security for Wireless Sensor Networks through Lightweight Machine Learning-Based Anomaly Detection and Attack Classification
The proposed soft-voting ensemble outperformed individual models and achieved highly accurate intrusion detection with strong classification consistency and minimal false alarm rates, making the framework feasible for real-time embedded WSN deployment.
Qasim M. Zainel, Adnan Yousif Dawod, M. Abdulqader et al.
· Journal of Cyber Security an... · 0 citations