Matched filter detection with dynamic threshold for cognitive radio networks. - Fatima Salahdine; Hassan El Ghazi; Naima Kaabouch; Wassim Fassi Fihri (WINCOM, 2015)

A survey on decentralized random access MAC protocols for cognitive radio networks. - Wassim Fassi Fihri; Fatima Salahdine; Hassan El Ghazi; Naima Kaabouch (ACOSIS, 2016)

Bayesian compressive sensing with circulant matrix for spectrum sensing in cognitive radio networks. - Fatima Salahdine; Naima Kaabouch; Hassan El Ghazi (UEMCON, 2016)

Matched filter detection with dynamic threshold for cognitive radio networks. - Fatima Salahdine; Naima Kaabouch; Hassan El Ghazi (CoRR, 2016)

A survey on compressive sensing techniques for cognitive radio networks. - Fatima Salahdine; Naima Kaabouch; Hassan El Ghazi (Phys. Commun., 2016)

Techniques for dealing with uncertainty in cognitive radio networks. - Fatima Salahdine; Naima Kaabouch; Hassan El Ghazi (CCWC, 2017)

A real time spectrum scanning technique based on compressive sensing for cognitive radio networks. - Fatima Salahdine; Hassan El Ghazi (UEMCON, 2017)

Spectrum Sensing Techniques For Cognitive Radio Networks. - Fatima Salahdine (CoRR, 2017)

A Bayesian recovery technique with Toeplitz matrix for compressive spectrum sensing in cognitive radio networks. - Fatima Salahdine; Naima Kaabouch; Hassan El Ghazi (Int. J. Commun. Syst., 2017)

One-bit compressive sensing vs. multi-bit compressive sensing for cognitive radio networks. - Fatima Salahdine; Naima Kaabouch; Hassan El Ghazi (ICIT, 2018)

Compressive Spectrum Sensing for Cognitive Radio Networks. - Fatima Salahdine (CoRR, 2018)

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

A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks. - Fatima Salahdine; Elias Ghribi; Naima Kaabouch (CoRR, 2019)

Social Engineering Attacks: A Survey. - Fatima Salahdine; Naima Kaabouch (Future Internet, 2019)

A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication. - Youness Arjoune; Fatima Salahdine; Md. Shoriful Islam; Elias Ghribi; Naima Kaabouch (ICOIN, 2020)

Metrics for Evaluating the Efficiency of Compressing Sensing Techniques. - Fatima Salahdine; Elias Ghribi; Naima Kaabouch (ICOIN, 2020)

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

Social Engineering Attacks A Reconnaissance Synthesis Analysis. - Maha Rita Arabia-Obedoza; Gloria Rodriguez; Amber Johnston; Fatima Salahdine; Naima Kaabouch (UEMCON, 2020)

Security threats, detection, and countermeasures for physical layer in cognitive radio networks: A survey. - Fatima Salahdine; Naima Kaabouch (Phys. Commun., 2020)

Phishing Attacks Detection A Machine Learning-Based Approach. - Fatima Salahdine; Zakaria El Mrabet; Naima Kaabouch (UEMCON, 2021)

A survey on sleep mode techniques for ultra-dense networks in 5G and beyond. - Fatima Salahdine; Johnson Opadere; Qiang Liu 013; Tao Han 002; Ning Zhang 007; Shaohua Wu (Comput. Networks, 2021)

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)

Towards Secure and Intelligent Network Slicing for 5G Networks. - Fatima Salahdine; Qiang Liu 013; Tao Han 002 (IEEE Open J. Comput. Soc., 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)

Security in 5G and beyond recent advances and future challenges. - Fatima Salahdine; Tao Han 002; Ning Zhang 007 (Secur. Priv., 2023)

Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions. - Amal Naitali; Mohammed Ridouani; Fatima Salahdine; Naima Kaabouch (Comput., 2023)

5G, 6G, and Beyond: Recent advances and future challenges. - Fatima Salahdine; Tao Han 002; Ning Zhang 007 (Ann. des Télécommunications, 2023)

A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks. - Hassan Khazane; Mohammed Ridouani; Fatima Salahdine; Naima Kaabouch (Future Internet, 2024)

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