Honeyd Detection Via Abnormal Behaviors Generated by the ARPD Daemon. - Ammar Boulaiche; Kamel Adi (SECRYPT, 2008)

A Quantitative Approach for Intrusions Detection and Prevention based on Statistical N-Gram Models. - Ammar Boulaiche; Hatem Bouzayani; Kamel Adi (ANT/MobiWIS, 2012)

An auto-learning approach for network intrusion detection. - Ammar Boulaiche; Kamel Adi (Telecommun. Syst., 2018)

Enhancing IoT Security: A Deep Learning Approach with Autoencoder-DNN Intrusion Detection Model. - Sarra Cherfi; Ammar Boulaiche; Ali Lemouari (PAIS, 2024)

Exploring the ALNS method for improved cybersecurity: A deep learning approach for attack detection in IoT and IIoT environments. - Sarra Cherfi; Ammar Boulaiche; Ali Lemouari (Internet Things, 2024)

A Convolutional Neural Network with Hyperparameter Tuning for Packet Payload-Based Network Intrusion Detection. - Ammar Boulaiche; Sofiane Haddad; Ali Lemouari (Symmetry, 2024)

MLP-Based Intrusion Detection for Securing IoT Networks. - Sarra Cherfi; Ali Lemouari; Ammar Boulaiche (J. Netw. Syst. Manag., 2025)