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20192022
most citedReinforcement Learning for IoT Security: A Comprehensive Survey

215 citations · 504 across the 8 of their papers we have counts for

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5 papers · 1 filter

eess.SP2021

Gradient Ascent Algorithm for Enhancing Secrecy Rate in Wireless Communications for Smart Grid

Neji Mensi, Danda B. Rawat, Elyes Balti

The emerging Internet of Things (IoT) and bidirectional communications in smart grid are expected to improve smart grid capabilities and electricity management. Because of massive…

eess.SP20218 cited

Securing V2I Communications in 5G and Beyond Wireless System Using Gradient Ascent Approach

Neji Mensi, Danda B. Rawat, Elyes Balti

The 5G and beyond wireless systems, instead of being just an extension of 4G, are regarded as `network of networks' which is expected to integrate heterogeneous wireless networks i…

eess.SP2020

PLS for V2I Communications Using Friendly Jammer and Double kappa-mu Shadowed Fading

Neji Mensi, Danda B. Rawat, Elyes Balti

The concept of intelligent transportation systems (ITS) is considered to be a highly promising area of research due to its diversity of unique features. It is based mainly on the w…

eess.SP2020

Physical Layer Security for V2I Communications: Reflecting Surfaces Vs. Relaying

Neji Mensi, Danda B. Rawat, Elyes Balti

Wireless vehicular network (WVN) is exponentially gaining attention from industries and researchers since it is the Keystone of intelligent transportation systems (ITS). Despite th…

eess.SP2020

Adaptive Gradient Search Beamforming for Full-Duplex mmWave MIMO Systems

Elyes Balti

In this work, we present a framework analysis of full-duplex (FD) systems for Millimeter Wave (mmWave) analog architecture. Given that FD systems can double the ergodic capacity, s…