M-CNN: A New Hybrid Deep Learning Model for Web Security. - Ines Jemal; Mohamed Amine Haddar; Omar Cheikhrouhou; Adel Mahfoudhi (AICCSA, 2020)

Malicious Http Request Detection Using Code-Level Convolutional Neural Network. - Ines Jemal; Mohamed Amine Haddar; Omar Cheikhrouhou; Adel Mahfoudhi (CRiSIS, 2020)

ASCII Embedding: An Efficient Deep Learning Method for Web Attacks Detection. - Ines Jemal; Mohamed Amine Haddar; Omar Cheikhrouhou; Adel Mahfoudhi (MedPRAI, 2020)

Performance evaluation of Convolutional Neural Network for web security. - Ines Jemal; Mohamed Amine Haddar; Omar Cheikhrouhou; Adel Mahfoudhi (Comput. Commun., 2021)

SWAF: A Smart Web Application Firewall Based on Convolutional Neural Network. - Ines Jemal; Mohamed Amine Haddar; Omar Cheikhrouhou; Adel Mahfoudhi (SIN, 2022)

IoT DOS and DDOS Attacks Detection Using an Effective Convolutional Neural Network. - Ines Jemal; Omar Cheikhrouhou; Mohamed Amine Haddar (CW, 2023)