A Survey on Compressive Spectrum Sensing for Cognitive Radio Networks. - Salma Benazzouza; Mohammed Ridouani; Fatima Salahdine; Aawatif Hayar (ISC2, 2019)

A Secure Bayesian Compressive Spectrum Sensing Technique Based Chaotic Matrix for Cognitive Radio Networks. - Salma Benazzouza; Mohammed Ridouani; Fatima Salahdine; Aawatif Hayar (SoCPaR, 2020)

Chaotic Compressive Spectrum Sensing Based on Chebyshev Map for Cognitive Radio Networks. - Salma Benazzouza; Mohammed Ridouani; Fatima Salahdine; Aawatif Hayar (Symmetry, 2021)

A novel secure cooperative cognitive radio network based on Chebyshev map. - Mohammed Ridouani; Salma Benazzouza; Fatima Salahdine; Aawatif Hayar (Digit. Signal Process., 2022)

A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning. - Salma Benazzouza; Mohammed Ridouani; Fatima Salahdine; Aawatif Hayar (Sensors, 2022)

A novel spectrogram based lightweight deep learning for IoT spectrum monitoring. - Salma Benazzouza; Mohammed Ridouani; Fatima Salahdine; Aawatif Hayar (Phys. Commun., 2024)