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20092026
most citedCyber-Security in Smart Grid: Survey and Challenges

463 citations

Showing 2018Show all

7 papers · 1 filter

cs.CR2018★ 9 cited

A New Secure Network Architecture to Increase Security Among Virtual Machines in Cloud Computing

Zakaria El Mrabet, Hamid El Ghazi, Tayeb Sadiki +1

Cloud computing is a new model of computing which provides scalability, flexibility and on-demand service. Virtualization is one of the main components of the cloud, but unfortunat…

cs.CR2018★ 463 cited

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

A Comparative Study of Full-Duplex Relaying Schemes for Low Latency Applications

Fatima Ezzahra Airod, Houda Chafnaji, Ahmed Tamtaoui

Various sectors are likely to carry a set of emerging applications while targeting a reliable communication with low latency transmission. To address this issue, upon a spectrally-…

eess.SP2018★ 68 cited

Spectrum Sensing: Enhanced Energy Detection Technique Based on Noise Measurement

Youness Arjoune

Spectrum sensing enables cognitive radio systems to detect unused portions of the radio spectrum and then use them while avoiding interferences to the primary users. Energy detecti…

cs.IT2018

Performance Analysis of Low Latency Multiple Full-Duplex Selective Decode and Forward Relays

Fatima Ezzahra Airod, Houda Chafnaji, Halim Yanikomeroglu

In order to follow up with mission-critical applications, new features need to be carried to satisfy a reliable communication with reduced latency. With this regard, this paper pro…

eess.SP2018★ 25 cited

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…

eess.SP2018★ 1 cited

Compressive Sensing: Performance Comparison Of Sparse Recovery Algorithms

Youness Arjoune, Naima Kaabouch, Hassan El Ghazi +1

Spectrum sensing is an important process in cognitive radio. A number of sensing techniques that have been proposed suffer from high processing time, hardware cost and computationa…