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2020 – today
- 2024
[j14]Hassan Khazane, Mohammed Ridouani
, Fatima Salahdine, Naima Kaabouch:
A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks. Future Internet 16(1): 32 (2024)- [j13]Salma Benazzouza, Mohammed Ridouani, Fatima Salahdine, Aawatif Hayar:
A novel spectrogram based lightweight deep learning for IoT spectrum monitoring. Phys. Commun. 64: 102364 (2024) - 2023
- [j12]Fatima Salahdine, Tao Han, Ning Zhang:
5G, 6G, and Beyond: Recent advances and future challenges. Ann. des Télécommunications 78(9-10): 525-549 (2023) - [j11]Amal Naitali, Mohammed Ridouani, Fatima Salahdine, Naima Kaabouch:
Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions. Comput. 12(10): 216 (2023) - [j10]Fatima Salahdine, Tao Han, Ning Zhang:
Security in 5G and beyond recent advances and future challenges. Secur. Priv. 6(1) (2023) - 2022
- [j9]Mohammed Ridouani, Salma Benazzouza, Fatima Salahdine, Aawatif Hayar:
A novel secure cooperative cognitive radio network based on Chebyshev map. Digit. Signal Process. 126: 103482 (2022) - [j8]Fatima Salahdine, Qiang Liu, Tao Han:
Towards Secure and Intelligent Network Slicing for 5G Networks. IEEE Open J. Comput. Soc. 3: 23-38 (2022) - [j7]Salma Benazzouza, Mohammed Ridouani, Fatima Salahdine, Aawatif Hayar:
A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning. Sensors 22(17): 6477 (2022) - [i9]Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch:
Phishing Attacks Detection - A Machine Learning-Based Approach. CoRR abs/2201.10752 (2022) - 2021
- [j6]Fatima Salahdine, Johnson Opadere, Qiang Liu, Tao Han, Ning Zhang, Shaohua Wu:
A survey on sleep mode techniques for ultra-dense networks in 5G and beyond. Comput. Networks 201: 108567 (2021) - [j5]Salma Benazzouza, Mohammed Ridouani, Fatima Salahdine, Aawatif Hayar:
Chaotic Compressive Spectrum Sensing Based on Chebyshev Map for Cognitive Radio Networks. Symmetry 13(3): 429 (2021) - [c12]Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch:
Phishing Attacks Detection A Machine Learning-Based Approach. UEMCON 2021: 250-255 - 2020
- [j4]Fatima Salahdine, Naima Kaabouch:
Security threats, detection, and countermeasures for physical layer in cognitive radio networks: A survey. Phys. Commun. 39: 101001 (2020) - [c11]Youness Arjoune, Fatima Salahdine, Md. Shoriful Islam, Elias Ghribi, Naima Kaabouch:
A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication. ICOIN 2020: 459-464 - [c10]Fatima Salahdine, Elias Ghribi, Naima Kaabouch:
Metrics for Evaluating the Efficiency of Compressing Sensing Techniques. ICOIN 2020: 562-567 - [c9]Salma Benazzouza, Mohammed Ridouani, Fatima Salahdine, Aawatif Hayar:
A Secure Bayesian Compressive Spectrum Sensing Technique Based Chaotic Matrix for Cognitive Radio Networks. SoCPaR 2020: 658-668 - [c8]Maha Rita Arabia-Obedoza, Gloria Rodriguez, Amber Johnston, Fatima Salahdine, Naima Kaabouch:
Social Engineering Attacks A Reconnaissance Synthesis Analysis. UEMCON 2020: 843-848 - [i8]Fatima Salahdine, Elias Ghribi, Naima Kaabouch:
Metrics for Evaluating the Efficiency of Compressing Sensing Techniques. CoRR abs/2003.07307 (2020) - [i7]Youness Arjoune, Fatima Salahdine, Md. Shoriful Islam, Elias Ghribi, Naima Kaabouch:
A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication. CoRR abs/2003.07308 (2020)
2010 – 2019
- 2019
- [j3]Fatima Salahdine, Naima Kaabouch:
Social Engineering Attacks: A Survey. Future Internet 11(4): 89 (2019) - [c7]Salma Benazzouza, Mohammed Ridouani, Fatima Salahdine, Aawatif Hayar:
A Survey on Compressive Spectrum Sensing for Cognitive Radio Networks. ISC2 2019: 535-541 - [i6]Fatima Salahdine, Elias Ghribi, Naima Kaabouch:
A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks. CoRR abs/1912.04935 (2019) - 2018
- [c6]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
One-bit compressive sensing vs. multi-bit compressive sensing for cognitive radio networks. ICIT 2018: 1610-1615 - [i5]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Bayesian Compressive Sensing with Circulant Matrix for Spectrum Sensing in Cognitive Radio Networks. CoRR abs/1802.03457 (2018) - [i4]Fatima Salahdine:
Compressive Spectrum Sensing for Cognitive Radio Networks. CoRR abs/1802.03674 (2018) - 2017
- [j2]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
A Bayesian recovery technique with Toeplitz matrix for compressive spectrum sensing in cognitive radio networks. Int. J. Commun. Syst. 30(15) (2017) - [c5]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Techniques for dealing with uncertainty in cognitive radio networks. CCWC 2017: 1-6 - [c4]Fatima Salahdine, Hassan El Ghazi:
A real time spectrum scanning technique based on compressive sensing for cognitive radio networks. UEMCON 2017: 506-511 - [i3]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Techniques for Dealing with Uncertainty in Cognitive Radio Networks. CoRR abs/1701.05468 (2017) - [i2]Fatima Salahdine:
Spectrum Sensing Techniques For Cognitive Radio Networks. CoRR abs/1710.02668 (2017) - 2016
- [j1]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
A survey on compressive sensing techniques for cognitive radio networks. Phys. Commun. 20: 61-73 (2016) - [c3]Wassim Fassi Fihri, Fatima Salahdine, Hassan El Ghazi, Naima Kaabouch:
A survey on decentralized random access MAC protocols for cognitive radio networks. ACOSIS 2016: 1-7 - [c2]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Bayesian compressive sensing with circulant matrix for spectrum sensing in cognitive radio networks. UEMCON 2016: 1-6 - [i1]Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Matched filter detection with dynamic threshold for cognitive radio networks. CoRR abs/1609.08398 (2016) - 2015
- [c1]Fatima Salahdine, Hassan El Ghazi, Naima Kaabouch, Wassim Fassi Fihri:
Matched filter detection with dynamic threshold for cognitive radio networks. WINCOM 2015: 1-6
Coauthor Index
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