147 citations · 387 across the 8 of their papers we have counts for
9 papers
Phishing Attacks Detection -- A Machine Learning-Based Approach
Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch
Phishing attacks are one of the most common social engineering attacks targeting users emails to fraudulently steal confidential and sensitive information. They can be used as a pa…
A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication
Youness Arjoune, Fatima Salahdine, Md. Shoriful Islam +2
Jamming attacks target a wireless network creating an unwanted denial of service. 5G is vulnerable to these attacks despite its resilience prompted by the use of millimeter wave ba…
Metrics for Evaluating the Efficiency of Compressing Sensing Techniques
Fatima Salahdine, Elias Ghribi, Naima Kaabouch
Compressive sensing has been receiving a great deal of interest from researchers in many areas because of its ability in speeding up data acquisition. This framework allows fast si…
A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks
Fatima Salahdine, Elias Ghribi, Naima Kaabouch
In this paper, a cooperative spectrum sensing scheme based on compressive sensing is proposed. In this scheme, secondary users (SUs) are organized in clusters. In each cluster, SUs…
Compressive Spectrum Sensing for Cognitive Radio Networks
Fatima Salahdine
A cognitive radio system has the ability to observe and learn from the environment, adapt to the environmental conditions, and use the radio spectrum more efficiently. It allows se…
Bayesian Compressive Sensing with Circulant Matrix for Spectrum Sensing in Cognitive Radio Networks
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
For wideband spectrum sensing, compressive sensing has been proposed as a solution to speed up the high dimensional signals sensing and reduce the computational complexity. Compres…
Spectrum Sensing Techniques For Cognitive Radio Networks
Fatima Salahdine
In this chapter, we present the state of the art of the spectrum sensing techniques for cognitive radio networks as well and their comparisons. The rest of the chapter is organized…
Techniques for Dealing with Uncertainty in Cognitive Radio Networks
Fatima Salahdine, Naima Kaabouch, Hassan Ghazi
A cognitive radio system has the ability to observe and learn from the environment, adapt to the environmental conditions, and use the radio spectrum more efficiently. However, due…
Matched filter detection with dynamic threshold for cognitive radio networks
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
-In cognitive radio networks, spectrum sensing aims to detect the unused spectrum channels in order to use the radio spectrum more efficiently. Various methods have been proposed i…