activity
20162022
most citedPhishing Attacks Detection -- A Machine Learning-Based Approach

68 citations · 114 across the 9 of their papers we have counts for

collaborators

13 papers

cs.IT2020

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…

cs.IT2020

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…

cs.CR201913 cited

A Performance Comparison of Data Mining Algorithms Based Intrusion Detection System for Smart Grid

Zakaria El Mrabet, Hassan El Ghazi, Naima Kaabouch

Smart grid is an emerging and promising technology. It uses the power of information technologies to deliver intelligently the electrical power to customers, and it allows the inte…

cs.IT2019

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…

cs.CR2018

Cyber-Security in Smart Grid: Survey and Challenges

Zakaria El Mrabet, Hassan El Ghazi, Naima Kaabouch +1

Smart grid uses the power of information technology to intelligently deliver energy to customers by using a two-way communication, and wisely meet the environmental requirements by…

eess.SP2018

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…