Fatima Salahdine

Tao Han

Ning Zhang

Ann. des Télécommunications, October, 2023

Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions.

[BibT_eX]

[DOI]

Comput., September, 2023

Security in 5G and beyond recent advances and future challenges.

[BibT_eX]

[DOI]

Tao Han

Ning Zhang

Secur. Priv., 2023

2022

A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning.

[BibT_eX]

[DOI]

Sensors, 2022

Towards Secure and Intelligent Network Slicing for 5G Networks.

[BibT_eX]

[DOI]

Qiang Liu

Tao Han

IEEE Open J. Comput. Soc., 2022

A novel secure cooperative cognitive radio network based on Chebyshev map.

[BibT_eX]

[DOI]

Digit. Signal Process., 2022

2021

Chaotic Compressive Spectrum Sensing Based on Chebyshev Map for Cognitive Radio Networks.

[BibT_eX]

[DOI]

Symmetry, 2021

A survey on sleep mode techniques for ultra-dense networks in 5G and beyond.

[BibT_eX]

[DOI]

Comput. Networks, 2021

Phishing Attacks Detection A Machine Learning-Based Approach.

[BibT_eX]

[DOI]

Zakaria El Mrabet

Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

2020

Security threats, detection, and countermeasures for physical layer in cognitive radio networks: A survey.

[BibT_eX]

[DOI]

Phys. Commun., 2020

Social Engineering Attacks A Reconnaissance Synthesis Analysis.

[BibT_eX]

[DOI]

Maha Rita Arabia-Obedoza

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

A Secure Bayesian Compressive Spectrum Sensing Technique Based Chaotic Matrix for Cognitive Radio Networks.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Metrics for Evaluating the Efficiency of Compressing Sensing Techniques.

[BibT_eX]

[DOI]

Elias Ghribi

Proceedings of the 2020 International Conference on Information Networking, 2020

A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Information Networking, 2020

2019

Social Engineering Attacks: A Survey.

[BibT_eX]

[DOI]

Future Internet, 2019

A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks.

[BibT_eX]

[DOI]

Elias Ghribi

CoRR, 2019

A Survey on Compressive Spectrum Sensing for Cognitive Radio Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

2018

Compressive Spectrum Sensing for Cognitive Radio Networks.

[BibT_eX]

[DOI]

CoRR, 2018

One-bit compressive sensing vs. multi-bit compressive sensing for cognitive radio networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Industrial Technology, 2018

2017

A Bayesian recovery technique with Toeplitz matrix for compressive spectrum sensing in cognitive radio networks.

[BibT_eX]

[DOI]

Int. J. Commun. Syst., 2017

Spectrum Sensing Techniques For Cognitive Radio Networks.

[BibT_eX]

[DOI]

CoRR, 2017

A real time spectrum scanning technique based on compressive sensing for cognitive radio networks.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE Annual Ubiquitous Computing, 2017

Techniques for dealing with uncertainty in cognitive radio networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

2016

A survey on compressive sensing techniques for cognitive radio networks.

[BibT_eX]

[DOI]

Phys. Commun., 2016

Matched filter detection with dynamic threshold for cognitive radio networks.

[BibT_eX]

[DOI]

CoRR, 2016

Bayesian compressive sensing with circulant matrix for spectrum sensing in cognitive radio networks.

[BibT_eX]

[DOI]