A novel hybrid ensemble learning for anomaly detection in industrial sensor networks and SCADA systems for smart city infrastructures. - Kayode Yakub Saheed; Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht (J. King Saud Univ. Comput. Inf. Sci., 2023)

A systematic literature review for network intrusion detection system (IDS). - Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht; Yakub Kayode Saheed (Int. J. Inf. Sec., 2023)

Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities. - Yakub Kayode Saheed; Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht (Appl. Soft Comput., 2024)

ResNet50-1D-CNN: A new lightweight resNet50-One-dimensional convolution neural network transfer learning-based approach for improved intrusion detection in cyber-physical systems. - Yakub Kayode Saheed; Oluwadamilare Harazeem Abdulganiyu; Kaloma Usman Majikumna; Musa Mustapha; Abebaw Degu Workneh (Int. J. Crit. Infrastructure Prot., 2024)

Attention-driven multi-model architecture for unbalanced network traffic intrusion detection via extreme gradient boosting. - Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht; Ahmed El Hilali Alaoui; Yakub Kayode Saheed (Intell. Syst. Appl., 2025)

Modified Variational Autoencoder and Attention Mechanism-Based Long Short-Term Memory for Detecting Intrusions in Imbalanced Network Traffic. - Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht; Yakub Kayode Saheed; Meryam El Mouhtadi; Ahmed El Hilali Alaoui (Secur. Priv., 2025)

XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder. - Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht; Yakub Kayode Saheed; Elhilali Alaoui Ahmed (J. Supercomput., 2025)